OCTOBER 2015
Study funded by:
Intelligent Mobility: the smarter, greener and more efficient movement of people and goods around the world
Foreword
Marking the beginning of the Information Age,
the Digital Revolution has already dramatically
changed how we live our lives and is poised to
transform how we travel in the future. As we
move into this new era of ‘Intelligent Mobility’
characterised by the smarter, greener and more
efficient movement of people and goods, the UK
must not waver in its commitment to drive global
leadership in transport.
Moving from the current ‘modal-centric’
to future ‘user-centric’ transport systems is
by no means a small feat. It will require new
thinking and collaboration across industry,
academia and government to define and develop
Intelligent Mobility opportunities worth pursuing.
The Transport Systems Catapult is committed
to creating an environment that will help make
the UK a world leader in this area.
In order to capture a substantial share of
this emerging market, it will be essential to
understand the barriers and fundamental
enablers required to prioritise targeted
investments that build sustainable capabilities.
The Automotive Council Technology Group
was established to analyse evidence and
provide advice on UK automotive research and
development investment opportunities. It is
developing an Intelligent Mobility strategy for
the UK which will utilise emerging technologies
to enable user-focused, integrated, efficient
and sustainable transport systems focused on
meeting the needs of travellers in the UK.
This study represents such an endeavour and
is unique in its kind, taking a multi-modal and
end-to-end approach to both traveller needs
and Intelligent Mobility capabilities in the UK.
We hope you find this report an enjoyable,
interesting and stimulating read into
understanding the UK traveller.
THE UK HAS A LONG HISTORY OF TRANSPORT INNOVATIONS. FROM
THE SHIPBUILDERS WHO PAVED THE WAY FOR GLOBALISATION, TO THE
RAILWAYS THAT UNDERPINNED THE INDUSTRIAL REVOLUTION – THE UK
HAS ALWAYS BEEN A GLOBAL LEADER IN THE TRANSPORT INDUSTRY.
BY 2025, THE INTELLIGENT MOBILITY
MARKET IS ESTIMATED TO BE WORTH
£900BN ANNUALLY AND AS THE FUTURE
OF TRANSPORT SYSTEMS, IS VITAL TO
CREATING JOBS AND SECURING LONG-
TERM ECONOMIC GROWTH IN THE UK.
STEVE YIANNI
CEO Transport Systems Catapult
GRAHAM HOARE
Chairman Automotive Council Technology Group
About the
Transport Systems Catapult
Opp:
The Transport
Systems
Catapult LUTZ
Pathfinder Pod.
IIIII
Traveller Needs and UK Capability Study
Foreword
About the Transport Systems Catapult
Exploring Intelligent Mobility
www.ts.catapult.org.uk
WE ARE THE UK’S TECHNOLOGY AND INNOVATION
CENTRE FOR INTELLIGENT MOBILITY – THE FUTURE
OF TRANSPORT SYSTEMS.
We exist to drive UK global leadership in Intelligent Mobility, promoting
sustained economic growth and wellbeing, through integrated, efficient
and sustainable transport systems.
Our vision is to create an environment that will make the UK a world
leader in transport systems innovation.
© Transport Systems Catapult 2015. All Rights Reserved.
TSC-TN-OCT15-V01
Contents
Preface
This report was written by Corporate Value
Associates and revised and produced by the
Transport Systems Catapult’s Customer
Experience Business Unit.
This benchmarking report would not have
been possible without the generous help
and efforts of many. We would foremost like
to thank Innovate UK, the Department for
Transport, and the Department for Business,
Innovation and Skills for their foresight in
funding this ground-breaking study. We would
also like to acknowledge the generous support
received from: Arup, BMW, Ford, Jaguar Land
Rover, MIRA, and Nissan. We are also very
thankful for the Catapult support of the Digital
Catapult, Future Cities Catapult, and Satellite
Applications Catapult. We deeply appreciate the
endorsement by the Chairs of the Automotive
Council Technology Group and IM-PACT UK.
We would like to express our special thanks to
our University Partnership Programme and the
Innovate UK Monitoring Officer Brian Cumming
for their support to the study.
Thanks to our Expert Panel for their quality
assurance on deliverables in this study and we are
very grateful for the insights provided by all Expert
Interviewees. Building on this we are also thankful
for the large number of people who completed
the questionnaire in our traveller research.
Authors
Philip Wockatz, Transport Systems Catapult
Philipp Schartau, Corporate Value Associates
Project Team
Andrew Everett, Project Executive and Chief
Strategy Officer, Transport Systems Catapult
Philip Wockatz, Lead Project Manager and
Senior Technologist, Transport Systems
Catapult
Jamie Chan-Pensley, Project Advisor and
co-author, Transport Systems Catapult
Nick Knorr, Programme Director - Customer
Experience, Transport Systems Catapult
Yusuf Che-Noh, Project Coordinator
Toby Hiles, Project Advisor and Head of Strategy
and Planning, Transport Systems Catapult
Robert Tailby, Project Advisor
Paul Blakeman, Planning Team Member
Luke Streeter, Planning Team Member
John Simlett, London Managing Partner, CVA
Philipp Schartau, Senior Manager, CVA
Tim Helme, Case Manager, CVA
Anselm Karitter, Senior Consultant, CVA
Josh Blackburn, Consultant, CVA
The report and all related visual material are
produced by NEET-STUDIO LTD. We thank its
Director and Graphic Designer Anita Devlin for
her excellent work.
About the Transport Systems Catapult II
Foreword III
Preface IV
Executive Summary 1
Introduction 6
Intelligent Mobility 6
Traveller Needs and UK Capability Study 7
Key Findings 9
A Hot-bed for Intelligent Mobility 9
Hierarchy of Traveller Needs 10
Realising Potential Value from Intelligent Mobility 19
Traveller Needs Challenges 19
Identified Value Spaces 21
Summary of Value Spaces 31
Four Transformational Themes for Intelligent Mobility 33
Access Theme 34
Demand and Supply Theme 35
Integration Theme 37
Automation Theme 38
Combining the Four Transformational Themes 39
Capabilities for Intelligent Mobility 41
Capability Assessment 43
UK Competitive Positioning 44
Capability Priority Matrix 46
Investing in Intelligent Mobility (Recommendations) 48
Research and Development 49
Experimentation and Business Model Innovation 50
Policy, Legislation and Regulation 50
Conclusions and Stakeholder Implications 52
Methodology 53
Market Research 54
Expert Interviews 55
Literature Review 55
Acknowledgements 56
References 58
Endnotes 59
Your Thoughts... 60
Contacts 62
Above:
The Transport Systems
Catapult ‘Virtual Reality’
capability on a treadmill.
VIV
Traveller Needs and UK Capability Study
Contents
Preface
Executive Summary
INTELLIGENT MOBILITY IS CURRENTLY UNDERGOING RAPID DEVELOPMENT,
PRESENTING A UNIQUE MOMENT FOR THE UK TO BECOME A MAJOR PLAYER.
Previous Transport Systems Catapult research has
suggested that this global market will be worth around
£900bn annually by 2025 [1], with the UK primed to
be a hot-bed for Intelligent Mobility. This study was
commissioned to help unearth the UK’s innovation
potential in the Intelligent Mobility space. It focuses on
developing shared knowledge of what UK travellers need
and value, acknowledging there needs to be an end user
willing to pay for products and services. 10 specific Value
Spaces for Intelligent Mobility with estimated £56bn
of value (revenue opportunities) from the UK traveller
have been identified. The Transport Systems Catapult
is helping the UK capture as much of this global market
as possible – supporting businesses, creating jobs, and
driving economic growth.
Traveller
1
Type
Description Intelligent Mobility Opportunity
Progressive
Metropolites
Living in the heart of the city, typified by the
technology-savvy young professional, with
significant amounts of personal and business travel.
Want to reduce their transport footprint.
Leverage as lead users for new intelligent
mobility solutions (shared, digital) in urban
environments.
Default
Motorists
High mileage drivers, with a mix of those who enjoy
driving and many for whom it is a functional choice.
Remove the burden of driving – either through
increasing productive time, or by providing
viable alternatives.
Dependent
Passengers
Dependent on others for their mobility needs,
representing a mix of students, elderly, and those
with impairments.
Develop solutions that can increase
independence without relying on being driven
in a personal vehicle.
Urban
Riders
City dwellers, who travel less frequently than the
Progressive Metropolites, making use of public
transport available to them.
Well served today, although potential to
improve access to national transport services.
Local
Drivers
Mainly retirees or stay at home parents, making
low mileage local journeys.
Their needs are currently well met. Possible
opportunity to improve current experiences.
To help unlock this value whilst improving travel in the
UK, this study utilised a large market research sample
of 10,000 respondents as well as 100 expert and 50
company interviews. It has found the UK traveller to be
progressive and ready for new developments in mobility:
53% always look for ways to optimise their journeys.
72% have smartphones – 54% of which already
consider it essential to their travel experience.
57% would not mind sharing their data for better
services and 32% would share their possessions
with others.
39% would consider driverless cars today.
31% of journeys made today in the UK would not have
been made if alternative means were available that did
not necessitate physical travel (i.e. ‘virtual mobility’).
At the same time, UK travellers are seeking significant improvements to the journeys they make. 75% of all
journeys made in the UK are subject to negative experiences (i.e. pain-points). Above all, it is multi-modal journeys
that are perceived as particularly troublesome, calling for significant improvements in end-to-end mobility. However,
currently only 12% of journeys involve active consideration of modal choice. Therefore, activating travellers on the
remaining 88% of journeys is fundamental to Intelligent Mobility.
Beyond improving today’s journeys, Intelligent Mobility also promises to address significant unmet transport
lifestyle needs across a range of traveller types identified by the study:
Above:
Capabilities for
Intelligent Mobility.
Opp:
Five Traveller Types (Source:
Traveller Research, CVA Analysis).
1VI
Traveller Needs and UK Capability Study
Executive Summary
Capability Description
HMI & Interaction
Design
Technology, techniques and design methods that enhance the
driver/ passenger experience, enable better driver/ passenger
information and can help to influence traveller behaviour (e.g.
Information and entertainment displays, voice and gesture
recognition Human-Centred Interactive Systems Design).
Traveller Behaviour
& Psychology
Techniques, methods and technologies used to improve
the understanding of traveller decision making processes
and behaviours (e.g. crowd behaviour modelling, heuristics,
selection and decision-making models).
Connectivity
& Networks
Ability to connect different systems, travellers, goods,
infrastructure with the goal of establishing ‘ubiquitous
connectivity’ (e.g. Cellular systems (e.g. 3G, 4G, and 5G),
satellite connectivity, standards and communication protocols
(e.g. V2I, V2V, and V2X).
Localisation
& Mapping
Technologies enabling an understanding of the local
environment (e.g. ‘where you are and what is around you’).
Data Privacy
& Security
Secure flow of data (data security) as well as the safe storage
of data (data protection) (e.g. encryption techniques, data
anonymisation and protection techniques, cyber security
measures).
Analytics
& Simulation
Systems, algorithms and processes ranging from the handling
and analysis of big data, predictive and prescriptive analytics,
and machine learning (e.g. big data, predictive modelling, AI).
Research and
Development
Key technical capability areas
need to be supported, ensuring
the UK can hold IP
2
critical to
the Intelligent Mobility supply
chain. The study highlights six
Core Capabilities for priority
development (see table below).
Experimentation
and Business Model
Innovation
To successfully bring Intelligent
Mobility products and services
to market, a key focus needs
to be on experimentation,
business model innovation,
and real-life learning as much
as technical demonstration and
validation.
Policy and Legislation
There is a need to put in place
key policy measures and
government initiatives that
will enhance and enable the
success of Intelligent Mobility.
These include providing
ubiquitous connectivity, Open
Data, multi-modal ticketing,
standardisation of emerging
technologies, and a focus
(through KPIs) on multi-modal
journey experiences.
2 31
The most pertinent traveller needs and opportunities have been summarised as 12 key challenges
that need to be to be addressed to improve mobility in the UK. Developing solutions for these
challenges will not only deliver on travellers’ needs, but also unlock a number of Value Pools
(revenue opportunities) for innovators in Intelligent Mobility.
To deliver on these challenges, Intelligent Mobility will require the integration of different
technologies, products and services that will result in a step change in mobility. Four Transformational
Themes were identified in the study that map out development paths towards Intelligent Mobility.
They will deliver the greatest impact when combined, delivering seamless end-to-end mobility.
Whilst many innovations in these four themes will occur naturally out of commercial interests,
the study is recommending investments and interventions in three areas to establish the UK as a
world leader in Intelligent Mobility:
Transformational Theme Description
Access
New mobility solutions (e.g. car sharing, ride sharing etc.) that offer more
affordable, more convenient mobility.
Automation
Increased levels of automation in transport, for example the emergence
of automated driving functionality, moving from assisted driving to fully
autonomous drive.
Demand & Supply
Developments that seek to influence travel demand patterns and also better
match supply to demand within transport systems.
Integration
The bringing together of disparate information, systems, and services, to
provide travellers with a seamless end-to-end mobility experience.
Opp:
Four
Transformational
Themes
(Source: Expert
Interviews, CVA
Analysis).
Opp:
Overview of the
12 Challenges
for Intelligent
Mobility (Source:
CVA Analysis).
Opp:
Six Core
Capabilities
(Source: Expert
Panel Workshops,
Expert Interviews,
and CVA Analysis).
32
Traveller Needs and UK Capability Study
Executive Summary
Executive Summary
Stakeholder Imperatives
Central
Government
Fund research and development activities and skills development in the six Core
Capabilities for Intelligent Mobility.
Focus on filling the gaps in provision of reliable, fast, and ubiquitous connectivity.
Establish a data exchange mechanism and mandate open data where appropriate
(e.g. in rail franchises).
Create a central ticketing platform and multi-modal marketplace and encourage
multi-modal integration to support expected advancements in dynamic pricing and
timetabling.
Foster cross-industry collaboration to unlock value from Intelligent Mobility.
Local
Government
Encourage and support new business and participate in experimentation
with new Intelligent Mobility solutions in private and public transport.
Shift focus towards procuring against challenges rather than procuring for solutions.
Push for integration and innovation in public transport (e.g. demand responsive
services).
Infrastructure
Operators
Focus on measuring progress against traveller needs and end-to-end journey
experience across transport modes.
Understand the extent to which potential investments in Intelligent Mobility
can give better value for money than traditional infrastructure investments.
Encourage innovation by opening up data streams.
Set up mechanisms to gather learnings and influence traveller behaviours based
on data insights.
Transport
Operators
Understand desired position in emerging Intelligent Mobility ecosystems, focusing
on multi-modal transport and collaboration with new digital integrators.
Collaborate across the industry, by opening data and creating seamless end-to-end
journeys (focus ticketing, pricing, integrated information, commercial models).
Actively participate and collaborate with digital start-ups, not least by opening up
commercially non-sensitive data and start generating real-time data where missing
(and consider how to monetise valuable data).
Reduce complexity of planning by increasing availability of information (in particular
expected arrival time, expected level of personal space) and include every element
of the journey (car parking, etc.)
Automotive
Industry
Continue developing autonomous drive technology and focus on market readiness,
consider target segments.
Produce vehicles that are suitable for a variety of new mobility modes, such as
autonomous taxis or dynamically timetabled and routed minibuses.
Consider the role of the connected vehicle in an integrated end-to-end mobility world.
Establish a presence in new areas of the mobility value chain beyond vehicles sales,
finance and service.
Develop strategy for data generation and utilisation.
Take a leading position in defining and implementing standards in V2V
3
and V2I
4
communications.
Rail Industry
Focus on traveller experience on multi-modal journeys, in particular integration
of ‘new’ modes (bike share, car share, taxi apps, autonomous mobility) and speed
& reliability of interchange.
Focus on enabling productive time: connectivity, seamless interchange, dynamic
timetabling.
Focus on accessibility of rail: ‘easy to get to’ / first&last mile.
Enable digital lifestyles (e.g. journey experience personalisation) and engage
travellers with transport choices.
Transport
Systems
Suppliers
Prioritise data generation and integration from all possible sources.
Develop desired position in a world that focuses more on decentralisation
than central ‘command and control’ traffic systems.
Consider collaboration and integration with new mobility providers and focus
on how to deliver on end-to-end journey experiences.
Academia
Prioritise traveller behaviour understanding as a core discipline to develop expertise in.
Focus on skills gaps in algorithms and analytics to educate tomorrow’s Data Scientists.
Ensure technical degree programmes include a sufficient amount of business and
commercial understanding.
Start-ups
There is a significant opportunity for innovative and agile new entrants in Intelligent
Mobility.
Build strong relationships with key players (e.g. automotive OEMs, transport operators,
and local authorities) and understand the different speeds at which these players
move.
To drive UK global leadership in Intelligent Mobility there are a number of imperatives for different
stakeholders as shown below:
Opp:
Intelligent
Mobility
imperatives
for the UK
(Source: Expert
Workshops,
Expert
Interviews, and
CVA Analysis).
Opp/below:
Progressive
Metropolites.
Opp/below:
Urban Riders.
Below:
Default Motorists.
Below:
Petrol Heads
sub-group.
Opp/below:
Car Dependents
sub-group.
Opp:
Local Drivers.
Opp/below:
Dependent
Passengers.
54
Traveller Needs and UK Capability Study
Executive Summary
Executive Summary
5
Introduction
Beyond technology, innovations in business
models and user experiences (e.g. taxi hailing
apps, car sharing schemes, and real-time
traveller information) will be important. The
range of potential innovators in this space is wide
and goes significantly beyond the traditional
transport sector – including digital start-ups,
telecommunications providers, insurers, and
many more. Intelligent Mobility solutions have
the ability to significantly increase the capacity
of transport systems and deliver end-to-end
journey experiences that meet traveller needs
(for both people and goods).
A recent study into the business potential
of Intelligent Mobility suggests that the global
market for this new sector will be worth
around £900bn annually in just over a decade
[1]. As a growth market, it is expected to cut
across and go beyond traditional transport
modes and utilise emerging technologies to
provide travellers with an improved end-to-end
journey experience, but also increased transport
systems efficiencies. As a result we are seeing
a range of potentially disruptive developments
and a number of initiatives have already been
launched (e.g. the Transport Systems Catapult
and UK Autodrive project). Indeed, Intelligent
Mobility is becoming a top priority for the UK
and the Automotive Council believes that this
market has the potential “to increase mobility,
improve safety, and enhance user benefits whilst
simultaneously reducing pollution, consumption,
and congestion” [2].
The underlying enablers of increased
development in Intelligent Mobility have been
the strong growth in mobile connectivity and
smartphone penetration. Further benefits are
expected from the emerging Internet of Things
(including connected vehicles and infrastructure)
and increased digitalisation and availability
of data. Technology in itself will not, however,
realise this value but its applications to meet the
needs of travellers will. Intelligent Mobility not
only seeks to deliver direct value to the traveller
but also to provide sustainable benefits (e.g.
social and environmental) for whole transport
systems, such as mitigating congestion and
emissions, and improving safety. A fundamental
shift in how we realise the value in this new
space is required and there is a need to place
‘users of mobility systems’ at the heart of how
the UK secures a substantial share of the global
Intelligent Mobility market.
The concept of ‘Mobility as a Service’ has
emerged as a key trend within the Intelligent
Mobility domain and represents the shift away
from purchasing products (vehicles) towards
instead purchasing the access (service) for the
benefits of mobility. Increasingly, seamless
on-demand and end-to-end mobility at the
touch of a button is becoming a reality. As one
might expect, these developments will result in
significant shifts in the mobility value chain, and
established transport players will have to think
carefully about their desired position in these
new ecosystems, with new players entering the
transport sector.
Because Intelligent Mobility is an emerging
market it is characterised by a search for new
business models, which is something that
start-ups and digital players traditionally excel
at. As different sectors converge, realising
the value of Intelligent Mobility will require
collaboration between established players and
new entrants that goes beyond the traditional
borders of today.
Above all, the scale of the Intelligent Mobility
opportunity should be appreciated.
The initiative was supported by the Automotive
Council Technology Group. Also, an Industry
Review Group comprising of three other
Catapults and six companies played an
instrumental role in the study’s success.
In bringing together so many people and
organisations, the first steps towards improved
collaboration in, and understanding of, the
Intelligent Mobility space have been made.
Understanding Traveller Needs
The study was designed to fill an identified
existing gap in understanding what travellers
value on their journeys, what pain-points
they encounter and how they make decisions
with regards to their travel options. The study
achieves this by including all available modes
in the research and taking travellers through
an adaptive conjoint-based choice exercise
which helped understand the relative trade-offs
travellers make when deciding how to travel.
Additional information, such as a journey diary,
issues encountered and detailed information
on needs, attitudes and behaviours, helped
understand traveller segments and their
needs on a detailed level. This has provided
an understanding of the key challenges that
the UK will need to overcome in order to
develop and accelerate valuable Intelligent
Mobility opportunities.
To this end, Innovate UK, the Department for
Transport, and the Department for Business,
Innovation and Skills jointly funded an Intelligent
Mobility Special Project called Traveller Needs
and UK Capability Study. The study was led
by the Transport Systems Catapult between
February and July 2015 – involving a combination
of more than 70 organisations from different
sectors, industries and transport modes.
The research conducted in the study comprised
of 10,000 online and 100 offline questionnaire
respondents, 50 company interviews, and 100
expert interviews. There are many studies that
have analysed travel user sentiments. These
studies are, however, most often specific to a
transport mode or geography (e.g. analysing
rail travel or transport in London) and tend to
focus on short-term incremental improvements
of current transport systems. Similarly, a
number of studies have explored future mobility
technologies but these tend to focus on technical
innovations in a specific sector (e.g. rail or
automotive). In contrast, this study attempted to
take a holistic view of Intelligent Mobility across
transport modes, sectors, UK geographies, and
across all aspects of Intelligent Mobility.
In producing this study, a large number of
cross-industry, cross-sector, and cross-modal
stakeholders have been involved (please see
the ‘Acknowledgments’ chapter for a full list).
Corporate Value Associates designed the
approach, delivered the research and analysis
(with quality assurance from an Expert Panel),
led the stakeholder workshops and developed
the study’s conclusions and recommendations.
Traveller Needs and UK Capability Study
TO CAPTURE A SUBSTANTIAL SHARE OF THE GLOBAL INTELLIGENT
MOBILITY MARKET IT IS ESSENTIAL TO UNDERSTAND FUNDAMENTAL
ENABLERS OF VALUE AND PRIORITISE TARGETED INVESTMENTS THAT
BUILD SUSTAINABLE AND INNOVATIVE CAPABILITIES FOCUSED ON
MEETING THE NEEDS OF THE UK TRAVELLER.
Intelligent Mobility
INTELLIGENT MOBILITY IS THE SMARTER, GREENER, AND MORE
EFFICIENT MOVEMENT OF PEOPLE AND GOODS AROUND THE WORLD.
“INTELLIGENT MOBILITY IS THE
CONVERGENCE OF DIGITAL INDUSTRIES,
TRANSPORT INFRASTRUCTURE,
VEHICLES AND USERS TO PROVIDE
INNOVATIVE SERVICES RELATING TO
DIFFERENT MODES OF TRANSPORT
AND TRAFFIC MANAGEMENT.”
MIRA [21]
“HISTORICALLY, MOBILITY HAS BEEN
VIEWED LARGELY AS A PRODUCT. […]
INCREASINGLY, HOWEVER, MOBILITY
IS APPROACHED AS A SERVICE.”
Schneider Electric, ARUP, The Climate Group [22]
“IT IS NOT REALLY ABOUT THE
TECHNOLOGY,” [TIM ARMITAGE] SAID.
“IT IS ABOUT FINDING A COMMERCIAL
MODEL THAT WORKS.”
Financial Times [23]
76
Traveller Needs and UK Capability Study
Introduction
Introduction
Key Findings
Identifying Value Spaces for Intelligent Mobility
This study does not attempt to value the Intelligent
Mobility market as a whole (other studies exist [1]),
or to quantify the socio-economic impact of meeting
traveller needs (e.g. job creation). Instead, the value
modelled in the analysis focuses on specific revenue
opportunities that are available for players in this
space by addressing the specific framed challenges.
Ultimately, value in mobility is derived from
traveller spend, whether this means spend on travel
tickets, vehicle ownership, or services and apps. There
are other sources of value in the mobility value chain
to consider, however, such as government spend on
infrastructure and subsidies, as well as indirect value
realised by making transport more efficient, safer and
cleaner. In quantifying these, two types of calculations
were performed:
Incremental Value
Estimates the additional amount travellers are willing
to spend on their journeys for a better experience.
This is modelled using conjoint data gathered during
the traveller research. The suggested improvements
(e.g. removal of pain-points) are compared to the
current traveller experience. The result is measured
against the traveller price elasticity (which was also
obtained from the conjoint data modelling) to estimate
the direct incremental value travellers assign
to such improvements.
Redistributed Value
Estimates the portion of current transport spend that
will no longer be required in its current form if the
challenges are met and may be available for a new
player offering new mobility services. This is modelled
on a combination of the Office for National Statistics
(ONS), National Travel Survey (NTS), Census, and the
research data from this study.
The actual scale of incremental and redistributed
value realised will depend on the extent to which the
traveller challenges can be addressed. It should be
noted that the numbers obtained are not predictions,
but instead estimate the available ‘Value Pools’ for
Intelligent Mobility within the Value Spaces.
As this study employs innovative approaches
in order to identify potential areas of value, it is
acknowledged that these approaches are different
from traditional transport planning. This report is
intended to supplement, not replace or re-work
traditional transport planning models.
A Hot-bed for Intelligent Mobility
A SUCCESSFUL INTELLIGENT MOBILITY INDUSTRY IN THE UK REQUIRES
TRAVELLERS WHO WELCOME AND EMBRACE INNOVATIVE MOBILITY
PRODUCTS AND SERVICES, CREATING AN ADDRESSABLE MARKET
FOR NEW BUSINESSES.
Describing Transformational Themes for
Intelligent Mobility
There are a number of Intelligent Mobility products
and solutions emerging and many ideas for further
developments. This report describes the key emerging
themes for Intelligent Mobility with an outlook towards
2030. This includes understanding the benefits that
they can deliver in terms of meeting traveller needs
and addressing pain-points – as well as the key
enablers and capabilities required to make these
developments successful.
Targeting Core Capabilities for Intelligent Mobility
Building a successful and profitable Intelligent
Mobility sector in the UK will not be achieved purely
with roadmaps and development plans, but by
enabling and encouraging innovation both from
existing players and new entrants. Increasingly,
the speed of innovation in this emerging sector
will be more akin to that of the Digital Revolution
with fast growth and adoption of services (e.g. Uber
and Citymapper) rather than traditional transport
planning. This report aims to target the Core
Capabilities that are both highly significant to enable
Intelligent Mobility whilst also providing the UK with
a competitive advantage.
Recommendations for Policy Interventions
and Targeted Investments
This report is intended to benefit a number of
stakeholders and help guide policy and investment
decisions. As such, it is meant to stimulate activity
and investment in Intelligent Mobility by identifying
pertinent traveller needs and understanding the
scale of targetable Value Pools.
Whilst a successful Intelligent Mobility industry
should thrive with little policy intervention, many
modes of transport are still reliant on and guided by
central and local policy and support. Some level and
type of intervention will be required in order to deliver
step changes in traveller experience and ensure the
success of Intelligent Mobility developments. This
report aims to identify the key areas where such
policy interventions would be beneficial.
The findings in this study will also support the
Automotive Council Technology Group’s Intelligent
Mobility Roadmap and its broader objectives of
increasing mobility, improving safety and enhancing
user benefits, whilst simultaneously reducing
pollution, consumption, and congestion. It will
also provide an evidence-based baseline for policy
planners, regulators, industry and funding bodies
such as the Department for Transport, InnovateUK
or the Intelligent Mobility Planning, Action and
Coordination Team (IM-PACT UK), which the
Transport Systems Catapult is chairing.
This study has found that the UK exhibits
this trait. From a traveller perspective, the UK
has the key prerequisites to make Intelligent
Mobility successful:
Firstly, UK travellers express a clear need for
travel improvements. 75% of all journeys made
in the UK are subject to negative experiences
(i.e. pain-points), many of which may be
addressed with Intelligent Mobility solutions.
Also, 53% of travellers (making up 57% of
journeys in the UK) state that they actively look
for ways to improve their journeys. This means
that there is an audience willing and waiting for
Intelligent Mobility to improve their lives.
Secondly, UK travellers today exhibit
progressive attitudes and are open to
considering new approaches. The study found
that 57% of respondents would not mind sharing
their personal data in order to get a better
service. Considering frequently voiced concerns
over data privacy, this number was unexpectedly
high and significantly higher than prior research
(equivalent values were about 40% in 2010 [3]).
Instead of simply purchasing mobility products
or consuming mobility services, they realise that
transport as a whole can be improved if they
actively contribute, not least with their personal
data. In a similar vein, the lines between ‘ownership’
and ‘access’ are beginning to blur for UK travellers.
Today, one third of UK travellers would consider
sharing their possessions with others for money.
The findings in this study resonate well with
the ‘Sharing Economy’ concept [4] and indicate
that the UK provides a critical mass for mobility
services based on shared assets [5]. This trend
is only expected to grow further, with asset
TRAVELLERS ACTIVELY LOOK FOR WAYS
TO IMPROVE THEIR JOURNEYS.
sharing services becoming more mainstream
(e.g. Airbnb, Lyft, and BlaBlaCar). In mobility,
such services increasingly consider both the
vehicle and journey as something that could be
shared and better utilised. Furthermore, 39% of
respondents say that they would consider using
a driverless car – which is also a very high
number for a product that does not yet exist
(typically under 15%
5
). Indeed, this acceptance
of autonomous vehicles is very encouraging
for automotive OEMs
6
and other transport and
logistics players who are innovating in this space,
and there is an emerging acceptance of new
transport modes that go beyond the traditional
car and public transport.
Finally, travellers are increasingly connected
and can be easily reached through apps.
Smartphone penetration in the UK is 72%
and growing (forecast to grow to 81% by 2017
[6]), with more than half of smartphone users
already considering it essential to their travel
experience. The combination of connectivity on
the move, traveller attention and engagement,
and a favourable digital distribution channel
makes smartphones a priority access point
for Intelligent Mobility solutions, ensuring that
emerging value opportunities in Intelligent
Mobility can be captured. In the future, this can
be expected to extend to wearable technologies
such as smart watches.
1
2
FINALLY, BEYOND THIS REPORT THE STUDY HAS PRODUCED A LARGE DATASET OF
TRAVELLER NEEDS AND PAIN-POINTS. THIS DATASET IS A KEY ASSET THAT WILL BE
AVAILABLE TO THE UK FOR FURTHER ANALYSIS TO HELP DIFFERENT STAKEHOLDERS
UNDERSTAND THE IMPLICATIONS OF THE FINDINGS TO THEIR CONTEXT.
98
Traveller Needs and UK Capability Study
Key Findings
Introduction
The most prominent recent innovations
in the mobility space have come from digital
start-ups such as Uber, Hailo, and Citymapper,
who have already taken advantage of these
trends. They deliver tangible improvements to
the end-to-end journey experience by utilising
existing infrastructure and vehicles and relying
on consumer connectivity. There is consensus
amongst the experts interviewed that the UK is
a leader in digital innovation, with many exciting
start-ups in London’s ‘Silicon Roundabout’ and
in other parts of the UK. These start-ups have
a large talent pool with the right skill-sets to
develop further innovations in the Intelligent
Mobility space. The UK must not only continue to
support this start-up scene, but also encourage
developments in Intelligent Mobility through
targeted funding. This includes giving start-ups
access to public and local authority procurement
and by encouraging new collaborations with
traditional players in the mobility value chain.
Enabling Lifestyles
Two core mobility-relevant dimensions were shown to influence the traveller’s fundamental
mobility needs, pain-points, and attitudes directly.
Firstly, how much they travel, for what purpose (e.g. work or leisure), and in which geographies
(local, national, international) – their ‘mobility lifestyle’. Secondly, what transport choices they have
available, where they live and work, and whether they are restricted by personal or family situation
– their ‘mobility situation’. Across these two dimensions, five key traveller segments have been
identified as shown below:
Progressive Metropolites
14% of UK population and 16% of journeys.
‘Progressive Metropolites’ live in large urban centres. They are heavy
travellers both for work and for leisure, typically making 17% more
journeys annually than the average UK adult. They are generally young
professionals (57% are aged 35 or under) with high disposable incomes
(twice as likely to earn more than £40,000 per year compared to average).
They are very ‘technology-savvy’, with a 94% smartphone penetration –
which they consider to be essential to their everyday lives. 70% state that
they like to be the first to try new technologies and that they consider new
digital services to be improvements in their lives – making them early
adopters and a clear target group for new digital products and services.
This is equally true for mobility, as two thirds state that they are excited
by new developments in transport and would consider driverless cars –
significantly above the 39% population average. This transport innovation
awareness, in combination with their digital affinity and their heavy travel
patterns, make them the ideal lead users for new Intelligent Mobility
solutions.
Travellers in this segment are regular users of public transport and in
particular multi-modal transport (one third of their journeys). However, the
private car still plays an important role in their lives as it is used for 48% of
their journeys (33% in London).
Hierarchy of Traveller Needs
THIS STUDY HAS IDENTIFIED A NUMBER OF FUNDAMENTAL TRAVELLER
NEEDS, PAIN-POINTS, AND ATTITUDES THAT INTELLIGENT MOBILITY
SOLUTIONS HAVE THE POTENTIAL TO ADDRESS.
Although what travellers experience is wide-ranging and often relates to specific circumstances,
a number of key needs, pain-points, and attitudes have been identified in the study. These have
been clustered into a ‘Hierarchy of Traveller Needs’ consisting of three areas: Enabling lifestyles,
Enhancing end-to-end journeys, and Removing pain-points.
The UK is also seen as a world leader in
the more traditional transport systems space.
London’s SCOOT
7
traffic control system is one
of the most advanced in the world, and there
is a thriving transport planning and consulting
industry in the UK. The combination of this
transport expertise and world-class digital
innovation capabilities provides the ideal blend
of expertise for developing Intelligent Mobility
solutions.
Moreover, the UK is considered to be an ideal
testing and learning ground for Intelligent
Mobility due to its unique combination of densely
populated cities and sparsely populated rural
areas. A well-developed transport network that
has to deal with significant demand peaks,
yet at a manageable scale compared to some
global mega-cities, provides the ideal basis
to successfully develop Intelligent Mobility
solutions. The UK’s traveller readiness, digital
innovation capability, traditional transport
expertise, and a geography and infrastructure
ideally suited for transport innovations positions
the UK as a hot-bed for Intelligent Mobility – at
the forefront of Intelligent Mobility development.
THE UK IS A LEADER IN DIGITAL
INNOVATION.
Opp:
Hierarchy of
Traveller Needs
(Source: Traveller
Research and
CVA Analysis).
Opp:
Progressive
Metropolites.
Opp:
Key traveller
segments as %
of UK population
(source: Traveller
Research and CVA
Analysis).
1110
Traveller Needs and UK Capability Study
Key Findings
Key Findings
The car ownership experience is important to them (66%) yet more than
half of the car users in this segment (57%) could imagine giving up their
car if better alternatives were available. Solutions such as car sharing or
ride sharing are likely to be successful in this segment, provided that they
allow a high level of personalisation and customisation to re-create the
benefits of individual car ownership. Travellers in this segment are also
believers in the emerging ‘Sharing Economy’ concept, with 66% agreeing
that services such as Airbnb improve their lifestyles. There could be a
large opportunity to develop such services further in urban transportation,
including peer-to-peer sharing models and packaged mobility offers.
If such offers allowed shared access to different vehicles and transport
services it would enhance their mobility options and mobility lifestyles
significantly beyond that of the single car ownership experience.
This segment also aspires to live a sustainable mobility lifestyle
with 55% trying to optimise their travel for the good of society (compared
to the 30% average) and 53% trying to use transport modes that are good
for the environment (compared to the 29% average). Clearly, with the
remaining high level of private vehicle usage seen in this segment, there
is an opportunity to develop solutions that help them live more sustainable
lifestyles. However, at the same time, such solutions must also help these
travellers optimise their transport costs (73%) and also enable them to use
transport as a way to explore (83%).
Finally, this segment expresses a preference that they would rather
have completed the journey ‘virtually’ (i.e. not travelling at all physically)
for 60% of journeys made today, had they been able to.
This is a key opportunity for further innovation and to develop both
enhanced video conferencing and goods delivery solutions that meet
the needs of this traveller type.
Urban Riders
15% of UK population and 10% of journeys.
The second urban segment are infrequent travellers, which is reflected
both in leisure as well as in work journeys. Half of this segment do not
work at all and include students, home keepers, retirees and unemployed
people. This mix of demographics is also reflected in a typically low
household income. The travel demand of this traveller type is low and
focuses predominately on local journeys within the urban environment.
As such, it is well supported with a multitude of mobility options available
to meet their needs, which typically includes walking or taking the bus.
Very few in this segment drive and in fact only 40% have a driving licence.
Whilst there is little indication that this segment does not consider its
mobility needs sufficiently met, opportunities would include provision
of low cost transport services beyond buses (e.g. ride sharing services
or shared taxis).
This segment is particularly unlikely to be travelling longer distances
and the vast majority of them (79%) make non-local journeys less than
once a month. Despite this, they are as likely to enjoy exploring new
places (71%) just like other segments, which could indicate a latent
need to have improved access to non-local travel at an affordable cost.
Default Motorists
26% of UK population and 37% of journeys.
This is a segment of very frequent travellers who live in smaller urban
centres or suburbs of larger cities. They make a significant number of
journeys for work (twice the UK average) and also make a high number
of leisure journeys (15% more than UK average). The vast majority of
their journeys are taken by private car, which is their ‘default’ mode
of transport. Other modes are either not accessible or are simply not
considered. As such, this ‘always on the road’ segment makes up 46%
of all car journeys in the UK. This is a ‘working age’ segment (typically
26 to 65) and the vast majority of them (three quarters) are employed,
with middle household incomes (60% earn between £10,000 and £40,000
per year). As such, they represent a broad cross-section of the UK
working population.
Interestingly, not all travellers within this segment enjoy driving
privately. Two sub-groups have been identified based on their attitudes
towards driving.
Default Motorists: Petrol Heads
9% of UK population and 13% of journeys.
The first sub-group, representing one third, actively enjoys driving and
would even consider it their hobby. Car ownership is very important to
them and they cannot imagine relinquishing their car in the future. They
are very unlikely to consider mobility sharing schemes and are not excited
about new technologies in transport such as driverless cars (only 25% are
excited). Whilst there is limited scope to develop new mobility options for
Petrol Heads, they will continue to be a target group for OEMs. Beyond
selling vehicles to this sub-group there could be scope to offer additional
mobility services which enhance their driving and ownership experience.
Default Motorists: Car Dependents
17% of UK population and 24% of journeys.
For this group, driving is purely a functional choice. They represent
two thirds of the Default Motorist segment but do not identify with their
car and do not value car ownership. In fact it is questionable whether they
actually want to drive or whether it is simply the only sensible mobility
option available to them (80% use their car every day). There is a sizeable
opportunity to reduce their burden of daily driving.
Firstly, their driving time could be made more productive. 42% in
this sub-group would consider autonomous vehicles – which is a clear
opportunity for OEMs to consider and a direct benefit to these travellers
in productive time.
Secondly, mobility options that reduce the active driving time might
equally be of benefit for this sub-group – whether it is ride sharing,
parking guidance to reduce time spent looking for parking, or multi-modal
integration to reduce car dependency for longer journeys. Providing access
to alternative modes would significantly enhance the mobility experience
for this sub-group and 69% could imagine giving up their car. New
mobility alternatives would need to deliver the same flexibility and door-
to-door convenience that private cars do. Dynamic timetabling and routing,
seamless integration both at a local and national level, and sufficient space
and connectivity for work would generally be of benefit to them.
PROGRESSIVE METROPOLITES
ARE EARLY ADOPTERS AND IDEAL
LEAD USERS FOR NEW INTELLIGENT
MOBILITY SOLUTIONS.
URBAN RIDERS INCLUDE
MANY TYPES OF TRAVELLER IN
URBAN ENVIRONMENTS WITH
LOW TRAVEL DEMANDS.
DEFAULT MOTORISTS MAKE
UP 46% OF ALL CAR JOURNEYS
IN THE UK, BUT TWO THIRDS
OF THEM DO NOT VALUE CAR
OWNERSHIP.
Opp:
Urban Riders.
Opp:
Default Motorists.
Opp:
Petrol Heads
sub-group.
Opp:
Car Dependents
sub-group.
Opp:
Urban Riders
transport modal
segmentation
(Source:
Traveller
Research and
CVA Analysis).
1312
Traveller Needs and UK Capability Study
Key Findings
Key Findings
Local Drivers
24% of UK population and 19% of journeys.
Local Drivers are a more suburban or rural, typically older segment
(70% aged 55 or over and 60% are retired). They are non-working (either
retired or have chosen to stay at home) and their travel demand is very
much focused on local journeys. They own cars but tend not to be heavy
drivers (half drive less than 5,000 miles per year). As a whole, they do not
appear to have any significant unmet lifestyle needs, and the private car
is a complete mobility option for them, with 63% making daily local trips
for leisure or personal business. They are much less likely to state that
they would rather not have travelled (22% compared to the 31% average)
and many of their journeys (47%) are completed without any stated pain-
points, which indicates that their needs are well met with private cars. Not
only do they complete journeys without complaints, they also actively focus
on enjoying their travel – with 55% often taking a slower route for a better
experience (compared to the 45% average). There could be an opportunity
for Intelligent Mobility to enhance their journeys further through context-
aware information services focusing on the driving experience.
Whilst this segment shows average internet usage and is comfortable
making payments online, there is a relatively low smartphone uptake (62%)
and only 25% of smartphone owners consider it essential to their travel
experience. Whilst this is a barrier for new app-based mobility services
today this segment is expected to become increasingly more comfortable
with mobile technology.
Dependent Passengers
21% of UK population and 18% of journeys.
‘Dependent Passengers’ is a segment that is dependent on others
to meet its mobility needs. This traveller type consists of a number of
groups, such as young people (who typically get driven by their parents),
elderly people, and travellers with impairments. They take a majority of
their journeys as car passengers and the remainder is typically covered by
either bus or by walking, with journeys split representatively between work
and leisure. In this segment, Intelligent Mobility solutions could provide
more independence and enable better access to travel. This could include
driverless mobility options that enable more journeys as a car passenger,
dynamic bus services that offer greater flexibility, and digital navigation
and assistance tools that enhance independent journeys. The attitudes
in this segment are generally supportive of Intelligent Mobility, with
51% being happy to use increasingly automated services (compared to
the 55% average) and 59% are happy to share their data for better
services (compared to the 57% average).
There are, however, a number of challenges to overcome. 74%
within this segment do not have a driving licence and will not be able
to access current car sharing solutions. Also, this is a low household
income segment (50% earn less than £20,000 per year with almost half
unemployed) and 70% of their journeys currently entail no cost to them at
all (e.g. car passengers, walking or concessionary travel). Therefore any
mobility services offered here need to be affordable and cost-effective.
Where transport for this segment is subsidised, these services could
potentially be made more efficient with Intelligent Mobility solutions
(e.g. through dynamically routed buses).
Improving ‘Mobility Fit’
Enabling lifestyles is about more than just enabling and improving physical travel.
31% (19bn) of journeys made today would rather not have been made if alternative
means were available (e.g. online shopping). This includes 3.2bn journeys for
shopping, 1.5bn for business travel, 1.8bn for education, and 0.5bn medical visits.
Not wanting to travel could be for a variety of reasons, for example preferring to
spend the travel time in other ways, or a particularly poor journey experience.
Those journeys that can be completed ‘virtually’ would be removed from the
transport system, reducing demand and pressure at peak times. In the case of
shopping trips this would, of course, result in an increased number of goods
deliveries. The impact on traffic remains to be seen, especially where previous
multi-purpose shopping trips are replaced by the delivery of many individual items
as and when they are desired by the shopper. Whilst there is a risk of increased
congestion, it is also an opportunity for innovation and Intelligent Mobility to help
improve fast, reliable, and convenient delivery.
Intelligent Mobility has the ability to bring a significant step change to the lifestyles
of many traveller types. In particular, the scale of unmet traveller needs is greatest
in three segments (Progressive Metropolites, Default Motorists, and Dependent
Passengers), constituting approximately 60% of the population and making up 73%
of annual journeys in the UK. Together with enabling virtual mobility these three
traveller types in particular might be more open to Intelligent Mobility solutions.
As such, four key challenges
can be framed:
Help the urban population
reduce their transport
footprint and enable digital,
asset-light lifestyles.
Reduce the burden on the
car dependent population.
Provide independent
mobility for car passengers.
Push the boundaries of
virtual mobility to provide
the freedom to not travel.
1
2
3
4
INTELLIGENT MOBILITY
SOLUTIONS COULD PROVIDE
MORE INDEPENDENCE AND
ENABLE BETTER ACCESS
TO TRAVEL.
THE PRIVATE CAR IS A
COMPLETE MOBILITY OPTION
FOR LOCAL DRIVERS.
Enhancing End-to-end Journeys
This section investigates the key reasons for the choices that travellers make
during their end-to-end journey, how to encourage transport modal shifts, and
what other factors affect their journey experience.
The majority of travel in the UK is currently by road (64%) and the key reasons that
travellers use the car are flexibility and convenience. Being able to travel when they
want is the most important attribute to travellers (49%) and public transport is more
likely to be chosen when it is easily accessed (47%). Therefore, public transport needs
to offer the flexibility and convenience that the private car has traditionally provided
to encourage some modal shift. Such public transport systems will need to include
dynamically routed and timetabled transport, and seamless and fast interchanges
between transport modes. Special consideration should be given to the ‘first and
last mile’ where the private car currently provides the greatest convenience.
Opp:
Local Drivers.
Opp:
Dependent
Passengers.
Opp:
Dependent
Passengers
modal split.
Opp:
Travel in the UK
(Source: ONS,
NTS, and Traveller
Research -
numbers may
not add up due
to rounding).
1514
Traveller Needs and UK Capability Study
Key Findings
Key Findings
Another key challenge to overcome is the
broader integration of multiple operators,
which will increasingly also include providers
of new transport modes of mobility such as
car- and bike sharing schemes and ride sharing
services. Offering integrated ticketing, traveller
information, and dynamic timetabling (e.g. for
infrequent transport services) would help give
public transport the flexibility and convenience
it currently lacks. Beyond this, the end-to-end
journey for those who currently already travel
multi-modally needs to be improved – as multi-
modal travel is currently associated with a
significant amount of pain-points (discussed
further in the ‘Removing Pain-Points’ section).
Engaging Travellers in Modal Choice
For the vast majority of journeys (typically
more local journeys), travellers do not plan their
journeys or consider what transport modal
choices they have available. In fact it is only
12% of journeys that include travellers actively
considering their transport modal choices – as
visualised below.
There are several important insights to note
here. Firstly, the large number of journeys (67%)
that are habitual and – from the traveller
perspective – do not warrant any active planning
or pre-journey consultation of information (e.g.
routing, timetable or traffic information). For
these types of journeys, it will be difficult to
encourage travellers to consider their transport
choices. As such, information services that
enhance the traveller’s experience but also
encourage transport modal shifts or other
behaviour change will not be actively considered
on these journeys – which reduces the ability to
enhance the overall efficiency and flow of the
transport network.
The remaining 33% of journeys (typically
longer ones) are irregular and are unfamiliar
to the traveller such that some active planning
is needed. Yet in the majority of cases when
transport modal choices are available they
are not considered. Instead, travellers default
to their typically used transport mode, which
in many cases is the car. As such, even those
travellers who claim that they look for ways to
improve their journeys only actively consider
their mobility options for a small proportion
of journeys. Increasing this number should be
seen as an imperative and could be an important
step in reducing private car-dependence, which
would encourage uptake of both cleaner and
congestion reducing transport modes. Potential
end-to-end mobility options that span across
transport modes and transport operators will
depend on travellers actively considering their
mobility options before and during every journey.
This will require continued development of
integrated planning and information tools with
a view towards providing more personalised
and prescriptive information.
Confidence in Arrival Time
Regardless of transport mode chosen, a
critical end-to-end journey attribute for the
traveller is the time spent travelling. This study
found that in a choice exercise where travellers
are offered the possibility of having journey time
reduced or other journey attributes improved,
journey time was identified as the most valued
attribute. As such, this highlights the need for
Intelligent Mobility solutions to provide overall
transport flow improvements in a way that
shortens overall journey times. In addition to
the journey time, travellers also value avoiding
unexpected delays and having confidence
in their arrival time. In fact, these attributes
are more ‘top-of-mind’ for travellers than the
journey time itself, with 26% spontaneously
stating these as important factors. 21% of road
journeys (motorways and A roads) and 10% of
rail journeys already experience delays today [7],
and increased pressure on the transport network
is forecasted [8]. As a consequence there will
be increasing demand for mobility options to
provide arrival time confidence. Intelligent
Mobility could help in a number of ways either
through flow optimisation on the existing
transport network (e.g. optimising traffic light
flows and smart rail signalling), or through
increasing network resilience to incidents
(e.g. dynamic routing, dynamic timetabling).
Journey Information
Irrespective of transport mode there are a
number of factors that appear to consistently
impact the traveller’s perceived journey
experience. Where travellers are on a time-
critical journey (a journey which requires
the traveller to arrive by a specific time, e.g.
commute to work, school run) perceived ‘journey
quality’ is impacted (with a particular focus on
delays). When having to take responsibility for
others (e.g. children) or luggage on a journey,
travellers experience overall worse journeys.
Conversely, when travelling with an adult
companion, the end-to-end journey is perceived
as significantly smoother. Counter to intuition,
familiar journeys (i.e. those done on a regular
basis) are more problematic. One plausible
explanation is that travellers have an expectation
baseline that has been set by prior experience
– alternatively, travellers may be reducing their
contingency buffer time and therefore are more
sensitive to delays.
Improving ‘Mobility Choice’
Enhancing end-to-end journeys has the ability
to not only meet traveller needs but also to
optimise transport flows and increase available
transport capacity across the UK.
In delivering better end-to-end Journeys
a number of key challenges need to be
addressed:
Aim for transport systems to offer
the flexibility and convenience that
the private car has traditionally offered.
Actively engage traveller in journey
planning and transport modal
consideration.
Enable faster journeys and increased
confidence in arrival time.
Create relevant, personalised and
context-aware information.
A ‘virtual journey assistant’ that takes the
role of the adult companion could give travellers
confidence in arrival time and a smoother
end-to-end experience during time-critical
circumstances that are demanding for travellers
or where expectations are high. Such information
would need to be personalised and context-
aware to provide travellers with greatest value.
IN ALL OF THESE CASES BETTER END-
TO-END JOURNEY INFORMATION CAN
ENHANCE THE JOURNEY EXPERIENCE.
5
6
7
8
Opp:
Journey
planning and
transport modal
consideration
(Source: Traveller
Research and
CVA Analysis).
Below:
A LUTZ Pathfinder
Pod simulated
journey.
1716
Traveller Needs and UK Capability Study
Key Findings
Key Findings
Realising Potential Value
from Intelligent Mobility
Removing Pain-Points
Pain-points are key sources of frustration or desires for improvement that affect 75% of journeys
in the UK. Whilst traveller pain-points are varied and include complaints such as pot-holes or
dirty trains, there are a number of key pain-points that should be prioritised for Intelligent Mobility
solutions. Improving these journey attributes not only positively affects the experience of travellers
but can also represent a value opportunity for mobility operators.
Multi-Modal Pain-Points
Journeys involving modal interchanges are particularly prone to causing pain-points for travellers.
With each additional transport mode in the journey, the number of pain-points experienced by the
traveller increases, as shown below.
Multi-modal travellers find the planning of their journeys to be complicated and difficult. They are
especially unable to rely on their estimated arrival time and are often delayed. Multi-modal travellers
also complain that their journeys take an excessive amount of time and their data connectivity need
is great. Improvements on multi-modal journeys are needed, such as providing simpler ticketing
or reducing perceived complexity of planning (e.g. better planning tools and information before and
during journeys). Providing better guidance and wayfinding during interchanges could prove to be
a huge step forward. This would not only enhance the travel experience for those already making
interchanges between transport modes but could also potentially encourage other travellers to
consider multi-modal journeys.
Private Car Pain-Points
On car journeys drivers often complain about
the ‘start-stop’ nature of driving, which includes
queuing in traffic but also stopping for traffic
controls and junctions. This affects 10% of all
private car journeys in the UK (3.5bn journeys
each year) and drivers would value having the
continuity of their journeys improved. Finding
parking is another key pain-point. Travellers
struggle to find parking on 4.3bn journeys, which
represents 12% of car journeys, rising to 14%
if considering only urban journeys and 19% of
journeys in London. Whilst parking could be a
‘quick win’ for Intelligent Mobility if live space
availability data was to be generated, reducing
the ‘start-stop’ nature of driving is likely to
require more system-level change such as a
better step change in traffic light phasing. More
likely, it will require a combination of connected
infrastructure and autonomous driving.
Public Transport Pain-Points
Public transport users experience twice as
many pain-points as drivers. The pain-points
expressed are often direct results of not
delivering on the end-to-end journey and
public transport is generally considered poor
value for money, with the high cost of the
journey being one of the most cited pain-points
(17% overall and 25% for rail users). Lack of
personal space due to crowding (20%) and an
inability to sit down (12%) are common across
all public transport modes at certain times of
the day – along with lack of cleanliness (12%).
Rail journeys in particular struggle with limited
internet connectivity (14%).
Better management of supply and demand is
one way that Intelligent Mobility might address
many of the pain-points in public transport (this will
be discussed more in the ‘Four Transformational
Themes for Intelligent Mobility’ chapter).
Traveller Needs Challenges
THE KEY CHALLENGES IDENTIFIED NOT ONLY REPRESENT A GREAT LEVEL
OF BENEFIT TO TRAVELLERS IF SOLVED BUT ALSO A POTENTIAL REVENUE
OPPORTUNITY FOR NEW OR EXISTING PLAYERS IN INTELLIGENT MOBILITY.
Within the 12 Traveller Needs challenges,
10 Value Spaces that have the potential to create
a profitable Intelligent Mobility industry in the UK
have been identified. Challenges 5 and 6 have
not been valued as the both act as fundamental
enablers to many of the other challenges rather
than as discrete opportunities in their own right.
Challenge 5 is an enabler to Challenge 1
and 2, referring to car users utilising different
modes, whereas Challenge 6 is a broad enabler
of all Intelligent Mobility solutions that require
traveller interaction and engagement.
Improving ‘mobility experience’
Intelligent Mobility can help address many
traveller pain-points across both private and
public transport.
Four key challenges need to be addressed:
Solve the parking challenge.
Enable smoother drives.
Increase user experience and
perceived value of public transport.
Improve and enable multi-modal
journeys reducing complexity,
enhancing connectivity, and improving
speed and reliability.
9
10
11
12
Opp:
Overview of the
12 Challenges for
Intelligent Mobility
(Source: CVA
Analysis).
Opp:
Pain-points in
multi-modal
travel (Source:
Traveller
Research and
CVA Analysis).
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Key Findings
Within each overarching Value Space, specific Value Pools (revenue opportunities) have been
quantified. Two different types of value have been considered:
Incremental Value is money that travellers
are willing to spend on top of their transport
spend today. Incremental value can
be realised through:
New personal vehicle features – making car
use easier, smoother, and less burdensome
Information to help travellers during their
journeys – across all modes
Enabling journeys that were not previously
possible
Other journey improvements (e.g. meeting
pain-points) that travellers will pay extra for
Redistributed Value is money currently spent
on transport today that travellers would
rather have spent on different mobility solutions
or where government spend could be more
efficiently spent otherwise. Redistributed
value can be realised through:
‘Mobility as a Service’ – removing the need
for ownership and/or removing the burden
of driving
‘Virtual mobility’ – shifting trip spend to
alternative solutions (online shopping,
video conferencing)
Efficient public transport – optimising
demand and supply across all modes
of transport
The Value Pools have been considered across a number of different aspects of the transport sector:
Identified Value Spaces
VALUE SPACE: PROGRESSIVE METROPOLITES
CHALLENGE 1: HELP THE URBAN POPULATION REDUCE THEIR
TRANSPORT FOOTPRINT AND ENABLE DIGITAL, ASSET-LIGHT LIFESTYLES.
Description
Progressive Metropolites epitomise the emerging opportunity for Intelligent Mobility. They have
high disposable household incomes, are tech-savvy early adopters, aspire to lead sustainable lives,
and have to deal with congestion in the urban environment. 48% of their journeys are still made by
private car but they are open to replacing their car ownership with alternative mobility options that
meet their needs.
Value Pools
Addressing this challenge will cause a shift in value from private vehicle ownership and operation
to transport services (e.g. ride sharing or shared vehicles). These travellers also represent a key lead
market for potential future driverless taxis, due to their high degree of acceptance of autonomous
developments and desire to move away from ownership. Being highly engaged in transport this value
shift may happen quickly with the right mobility options, as they are eagerly looking for ways to improve
their travel. The total Value Pool is £8.4bn and includes current spend on private car ownership and
usage by those who would give up their car if they could. These people make a total of 1.6bn journeys
each year with their cars and spend the equivalent of £5.40 per journey. In the short- to medium-
term, unless Intelligent Mobility solutions deliver across all their journeys, they are likely to retain
their car ownership but replace individual trips with new mobility options. In the longer term, however,
this Value Pool may be fully captured where private ownership is replaced by flexible and shared
mobility solutions.
Implications
Shared and environmentally friendly transport solutions already exist in the UK but these have
not made significant inroads into the urban travel mix despite these needs being present in urban
environments. Further insights are required to fully understand why uptake has been limited, what
can be done to successfully design and implement mobility solutions with significant uptake, and
what would trigger the Progressive Metropolites to actually give up car ownership. It is likely that
different types of mobility solutions need to be tested to understand travellers’ mobility patterns and
preferences. Local authorities should encourage trials of innovative solutions with an expectation
that they may fail. Acceptance of experimentation should include the type of vehicle that is offered,
price structure and mobility ‘packages’ available, level of multi-modal integration, and the digital
user experience. Structured learning and understanding will be important so that successful
Intelligent Mobility solutions can be deployed.
Below:
Areas of the
transport sector
considered in
value analysis
(Source: CVA
Analysis).
Below:
Progressive
Metropolitans –
Value Pool (Source:
CVA Analysis).
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VALUE SPACE: DEFAULT MOTORISTS
CHALLENGE 2: REDUCE THE BURDEN ON THE CAR-DEPENDENT
POPULATION.
Description
The Default Motorists segment is divided into two groups: Petrol Heads and Car Dependents.
The latter see the car as a means to an end and are burdened by their car ownership. They are
interested in using autonomous vehicles and would be willing to give up their car if viable alternatives
were available.
Value Pools
Two separate Value Pools are considered:
Autonomous Features: providing autonomous driving features can relieve drivers from the chore
of daily driving. This could range from active cruise control to full autonomous driving without the
need for driver intervention. In the long-term autonomous features could become mainstream if
new vehicles become available with this functionality as default (e.g. Google’s autonomous car).
New Services: providing new transport solutions to those who reluctantly own a vehicle could
result in their current spend on the traditional automotive value streams being redistributed.
To fully realise this would require transport that can fulfil all of their current journeys. In the
short-term this is likely to represent a shift from three and two-car households to one-car
households or will simply replace some of their journeys.
VALUE SPACE: INDEPENDENT MOBILITY
CHALLENGE 3: PROVIDE INDEPENDENT MOBILITY FOR CAR PASSENGERS.
Description
The Dependent Passengers segment includes those who are too young to drive, too old to drive,
and those with mobility impairments. Currently, 54% of their journeys are made as a car passenger.
Whilst assisted journeys are undoubtedly necessary and valuable, there is a traveller opportunity to
enable more independence, which could also lessen the congestion and environmental impact of too
many return escort journeys.
Value Pools
Dependent Passengers stated that they would be willing to spend an average of £3.03 on each
journey that is currently free for them. This presents an opportunity for traditional players and new
entrants alike to provide mobility options that can deliver independence at this price point (although
it is likely less than the price of a typical taxi journey). Beyond this, Dependent Passengers represent
a significant segment of concessionary travel users and Intelligent Mobility is a potential source of
efficiency savings. This could be achieved by aggregating demand and dynamically running services
to respond to this demand, which would increase the utilisation of services that run primarily for
concessionary travellers.
Implications
Similar to Challenge 1, delivering new services will require experimentation to understand
and refine offerings. Because Default Motorists are more habitual travellers with less progressive
attitudes compared to the Progressive Metropolites, experimentation in this segment could prove
to be more difficult. A possible approach would be to utilise employers to encourage transport
modal shifts on commuter and business journeys or to help raise awareness of new Intelligent
Mobility solutions. As this is a segment of existing car buyers, delivering autonomous features
should be possible once market readiness has been reached. Here, the constraint is the slow speed
at which the UK ‘car parc’ turns over. It could take many years before a large penetration is reached
and benefits at scale such as vehicle platooning can be realised.
Implications
Despite traditionally utilising free transport these travellers would in fact be willing to spend on
improved independent journeys. This is an opportunity for new and existing players in this space,
including private enterprise, local authorities or other funding bodies. However, the needs and
expectations in this segment might be different from other travellers, which needs to be considered
when developing new solutions.
Below:
Default
Motorists –
Value Pool
(Source: CVA
Analysis).
Below:
Independent
Mobility – Value
Pool
(Source:
CVA Analysis).
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VALUE SPACE: VIRTUAL MOBILITY
CHALLENGE 4: PUSH THE BOUNDARIES OF VIRTUAL MOBILITY TO PROVIDE
THE FREEDOM TO NOT TRAVEL.
Description
31% of journeys made by travellers today are journeys they would have rather made virtually
if it was possible. For example, online education and video conferencing would take many of
these journeys out of the transport system. The potential opportunity in providing such communication
solutions is not considered as an Intelligent Mobility Value Pool here. However, 5% (3.2bn) of journeys
are shopping journeys that travellers would rather have made virtually. Increasing online retailing
would see a shift from personal travel to goods delivery. The value associated with this shift is
discussed below.
Value Pools
Online retailing has already become a major part of mobility and the UK leads Europe with
15% of retail spending now online [9]. There are still 3.2bn annual shopping journeys in the UK
that travellers would rather have completed virtually. These include both car and public transport
journeys with an average cost per journey to the traveller of £1.38 (including e.g. public transport
fares, petrol, and parking). In replacing these journeys with online retailing, there is additional
value available for everybody in the traditional goods delivery value chain – such as warehousing,
haulage, last-mile delivery, and routing optimisation. There are also many opportunities for new
and disruptive players to deliver new business models (e.g. Uber, Peership, Amazon Lockers, and
‘direct to vehicle boot’ delivery services). Further investigation is required to size this market and
determine the opportunity for different players but, as a proxy, current spend on shopping journeys
that travellers would rather not do amounts to £4.4bn per year in the UK.
Implications
Aside from the experience of online shopping itself, new goods delivery solutions will be
successful if they offer an experience that matches traveller lifestyles in terms of delivery flexibility
and are also cost competitive for the traveller. Many players are innovating around the delivery
experience and further developments are expected to be funded by private investment.
The ability to deliver cost-effectively depends mainly on the network density and delivery vehicle
utilisation of the deliverers. Local authorities and road operators need to be aware that increased
goods delivery can potentially have a negative impact on local traffic flows. Intelligent Mobility has
the ability to mitigate this impact through road traffic management and smart parking solutions
that enable delivery vehicles to stop close to their destination without impacting other road users.
Beyond online shopping, broadening the appeal of virtual mobility will require a good
understanding of the potential use-cases that need to be built (e.g. work and education),
so that targeted solutions can be developed.
VALUE SPACE: JOURNEY TIME
CHALLENGE 7: ENABLE FASTER JOURNEYS AND INCREASED CONFIDENCE
IN ARRIVAL TIME.
Description
Minimising the time allocated for a journey is a key functional need for travellers in the UK.
This can be approached on two levels: simply reducing the time journeys take or by minimising
the contingency time allocated for journeys by improving confidence in arrival time.
Value Pools
84% of travellers state that they would be willing to pay for faster journeys. Intelligent Mobility
can help reduce journey times through better traffic flows. Empirical studies show that the expected
impact of Intelligent Mobility solutions is 2%-15% in terms of time savings [10]. This realistically
implies that benefits would only be noticed by the traveller on journeys above 30 minutes or 18% of
journeys made. Assuming a 5% time saving can be achieved, on average travellers state they would
spend an additional £0.66 per journey. Most of this available Value Pool relates to journeys that are
greater than one hour in length, with the equivalent per journey spend of £1.31.
The need for higher confidence in arrival time is expressed on 1.5bn journeys per year. On these
journeys travellers state that they would be willing to pay £2.43 per journey for having a guarantee
of not being delayed and knowing the precise arrival time before setting off. This Value Pool could
be made available by being able to integrate and aggregate information sources in real-time to
provide accurate and reliable arrival times.
Implications
Improving system-level flows to decrease journey times can either be achieved by using Intelligent
Mobility solutions to increase capacity at key bottlenecks or by shifting demand to less congested
routes and times. There are a number of solutions that could prove fruitful in this endeavour
(discussed in the ‘Four Transformational Themes for Intelligent Mobility’ chapter).
Providing confidence in arrival time can be achieved through providing accurate and predictive
information. Making transport data readily available will enable the private sector to innovate and
it will be necessary to share the right information that allows developers to make meaningful
inferences (e.g. passenger loading compared to train capacity and differentiating between cars
per minute compared to general vehicles per minute).
Below:
Virtual Mobility
– Value Pool
(Source: CVA
Analysis).
Below:
Journey Time –
Value Pool (Source:
CVA Analysis).
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Realising Potential Value from Intelligent Mobility
VALUE SPACE: PERSONALISED JOURNEY INFORMATION
CHALLENGE 8: CREATE RELEVANT, PERSONALISED AND CONTEXT-AWARE
INFORMATION.
Description
Journeys are affected by situational factors such as familiarity with the journey, the level of time
pressure, and responsibility for others. These are key factors affecting the journey experience.
Intelligent Mobility can deliver an improved experience through relevant, personalised, and
contextualised information. A ‘virtual journey assistant’ can be envisaged where personalised
contextual information is proactively delivered to the traveller at key moments.
Value Pools
Travellers place an average value of £0.29 per journey on the negative experiences that could be
alleviated with journey assistance. Whilst this may add up to an amount per traveller per month that
suggests that subscription or premium mobility services may be feasible, it is questionable how
many travellers will actually pay this amount in the future. Increasingly, such journey assistance
experiences are being delivered through apps like Citymapper and Google Now on smartphones
and through wearable technology. These apps are typically free to the traveller but with scale they
have the opportunity to derive value in other ways, such as commission from selling transport fares
or through providing analytics services of traffic flows or traveller choice behaviours. Value for
new entrants is likely to come from data capture and information processing rather than delivery.
This Value Pool is not quantified as part of this study, as there are many different business models
in which transport data could be monetised – the value opportunity directly from the traveller, if
obtainable, is shown instead.
Implications
The ability for journey assistant solutions to support travellers depends on their ability to provide
relevant data in a contextualised and proactive way. It is therefore critical to enable innovators in
this space to access as much transport data as possible (i.e. open data) and to continue to generate
increasingly granular data. Examples of next development steps include indoor location and
navigation for travellers in train stations or underground stations, integration with the traveller’s
other applications (e.g. calendar, social media accounts, and preferences), and increasing levels
of proactivity in helping travellers throughout their journey (e.g. re-routing depending on weather,
congestion, and ticket booking).
VALUE SPACE: PARKING
CHALLENGE 9: SOLVE THE PARKING CHALLENGE.
Description
On 12% of journeys in the UK, drivers find parking a significant pain-point (14% in cities and 19%
in London), which cumulatively represent 4.3bn annual journeys. Other research in the UK has found
that the average driver spends over 6.45 minutes searching for a parking space on each journey [11].
Value Pools
Drivers on these journeys would be willing to pay £0.42 per journey to be able to reserve a parking
space and be guided to it. Two thirds of this value is from being able to guarantee the space and
one third from the routing element. In the short-term this value can be directly realised by charging
drivers for parking guidance and reservation. In the future, however, it is likely that travellers
will come to expect routing to empty parking spaces to be free (e.g. as with road traffic data). In
deploying smart parking solutions there are also opportunities to simplify enforcement and increase
management efficiencies. The current spend in the UK on this is £810m, – constituting a potential
Value Pool for players who can bring about efficiencies. Smart parking may also offer significant
incremental value through increasing utilisation and multi-purpose use of existing paid bays when
they are not in use (e.g. freeing up restricted bays). These additional opportunities have not been
quantified here as they are highly dependent on the specific parking situation in the area and the
level of space utilisation.
Implications
To achieve traveller acceptance and tangible reduction in time spent searching for parking, a
sufficiently high coverage of ‘smart parking bays’ would be required – particularly in areas of high
demand (e.g. urban areas). There is a plethora of different technologies and applications available
in this space, including road sensors, CCTV (image recognition), vehicle connectivity, and crowd-
sourcing of information. These will vary significantly in terms of the capital and operating costs,
but will also offer different levels of accuracy and adjacent benefits. It is likely that a blend of
technologies will be used and integrated eventually. Local authorities should be encouraged to allow
trials and experimentation with different systems to ensure that learnings are captured and shared.
Successful solutions will deliver seamless traveller experiences and desirable benefits, such
as integrated payment. Space reservation is the most valued aspect and should be offered where
possible. There is, however, a need to understand the impact this will have on achievable space
utilisation and to measure how traveller parking behaviours change once the ability to reserve space
becomes more widespread. Finally, integration with enforcement will ensure not only back-end cost
savings but also a reliable user experience for travellers.
Below:
Personalisation
– Value Pool
(Source: CVA
Analysis).
Below:
Parking – Value
Pool (Source:
CVA Analysis).
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Realising Potential Value from Intelligent Mobility
VALUE SPACE: SMOOTH DRIVES
CHALLENGE 10: ENABLE SMOOTHER DRIVES.
Description
The start-stop nature of journeys is another significant pain-point for drivers being held up by
congestion or traffic signals. This affects 10% or 3.8bn journeys and is most prevalent in cities where
19% of journeys are affected.
Value Pools
On the 3.8bn journeys affected, travellers would value improvements in journey continuity at
£0.23 per journey – amounting to a total Value Pool of £0.9bn per year. This Value Pool is not directly
realisable at the moment because there is no mechanism for car drivers to pay such an amount and
in return receive a smoother journey. The exception is through toll roads where an amount is charged
for a less congested journey. Technical innovation may, however, be able to solve this by utilising
autonomous drive technology and connectivity that enable smoother journeys through co-operative
driving and vehicle platooning. The £0.9bn Value Pool could be seen as additional traveller spend for
such features and there are further opportunities that could be monetised (e.g. dedicated lanes for
vehicle platoons). Also, system-level developments are likely to be of benefit, such as improved traffic
light phasing and actions to reduce congestion. There are also opportunities for the private sector to
provide drivers and vehicles with relevant information (e.g. optimal speed to approach and awareness
of delays). Both of these are, however, unlikely to result in a revenue stream for the traveller but
would bring benefits to traffic in the UK as a whole.
Implications
Research and Development should continue in autonomous drive, V2V and V2I communications –
along with traveller information. Connected and autonomous vehicles are likely to bring significant
traffic flow improvements and information-based solutions should be considered as part of future
vehicle design – in order to safely and seamlessly provide information to the traveller. To deliver
benefits across the UK, it is important that relevant standards are developed and that lessons
learned concerning flow improvements are shared and disseminated.
VALUE SPACE: IMPROVED PUBLIC TRANSPORT EXPERIENCE
CHALLENGE 11: INCREASE USER EXPERIENCE AND PERCEIVED VALUE
OF PUBLIC TRANSPORT.
Description
2.5bn public transport journeys per year generate a number of pain-points including lack of
personal space, lack of connectivity, and a perception of poor value for money (in particular on rail).
Value Pools
When given the choice between today’s experience and a pain-point free journey, travellers put an
average incremental value of £0.37 per journey on having a better experience. This incremental value
rises to £1 for journeys that are more expensive and longer than one hour – representing a total
Value Pool of £0.9bn and 4% of total traveller spend on public transport each year [12]. An approach
to addressing the lack of personal space is to better dynamically manage demand and supply: with
loading information, travellers would then be able to make value trade-offs using earlier or later
services to avoid congestion. Going beyond this, supply can be managed to be more responsive to
traveller demand through, for example, dynamic timetabling and routing of buses and potentially
for public rail transport in the future. Better and more even utilisation of public transport assets
would meet key traveller needs in terms of decreasing congestion and increasing personal space,
but also allow for a more efficient use of the public transport network as a whole – helping to reduce
operating costs and fares. If pain-points can be removed or mitigated without any increases into
public transport fares the perceived value of public transport will increase significantly.
Implications
Increased availability of real-time data, including loading information, would be a catalysts for
innovation in demand management. This can help to better distribute demand across the public
transport network. Operator contracts and franchises should be used to ensure that this data is
made available as Open Data and more granular data is generated using emerging technologies.
The travel experience could be further enhanced by integrating ticketing to provide travellers with
the flexibility of switching between operators and transport modes. Supply management innovations
should also be encouraged, such as innovative train and bus interiors that allow more flexible space
utilisation (e.g. modular activity-based environments), especially at peak times. Progress in these
areas needs to be measured and confirmed, for example by including a focus on traveller value and
experience alongside operational performance metrics.
Below:
Smooth Drives
– Value Pool
(Source: CVA
Analysis).
Below:
Perceived Value –
Value Pool (Source:
CVA Analysis).
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VALUE SPACE: MULTI-MODAL JOURNEYS
CHALLENGE 12: IMPROVE AND ENABLE MULTI-MODAL JOURNEYS –
REDUCING COMPLEXITY, ENHANCING CONNECTIVITY, AND IMPROVING
SPEED AND RELIABILITY.
Description
Multi-modal travel represents a key opportunity to increase the efficiency of travel in the UK,
which could include the ‘first and last mile’ of a journey being delivered by personal mode (e.g. car,
bike and foot) and the long bulk of the journey being shared (e.g. buses, coaches, rail and shared
rides). Multi-modal travel is, however, fundamentally more complex for the traveller and introduces
a number of pain-points to alleviate. These include the perceived complexity of the journey,
connectivity, and delays when travelling or interchanging.
Value Pools
Travellers on 700 million multi-modal journeys value removal of their pain-points at an average
of £0.76 per journey, giving a total Value Pool of £0.5bn. Removing pain-points related to connectivity
and delays would also impact other public transport journeys that are not multi-modal, which would
provide an even bigger Value Pool of £1.3bn. As with previous Value Pools, it is unlikely that these
can be realised directly by transport operators. Providers of information services and generators
of necessary primary data should be able to access this value if they can provide solutions that
genuinely improve multi-modal journeys.
There are 9bn journeys that are currently completed by car that might be possible to complete
multi-modally instead. Traveller spend on these journeys is relatively low (£0.49) but amounts
to £4.4bn, which could be redistributed to public transport operators. Travellers will have to pay
more to give up their car for part of the journey and travel multi-modally in situations of heavy road
congestion or very limited parking availability. As the UK’s transport network becomes increasingly
congested the need for multi-modal travel to assist travellers in avoiding bottlenecks might increase
– increasing the size of this Value Pool.
Implications
One of the main barriers in multi-modal travel is the fragmentation of multi-modal services
in terms of ticketing and payment. There is a need to integrate systems across transport modes
(e.g. ticketing, booking, and scheduling) but also to develop the business models underpinning
integrated multi-modal journeys. How revenues get distributed between transport operators and
service providers will be an important barrier to overcome if packaged end-to-end fares are charged
to travellers. Immediate improvements in multi-modal journeys could be made through delivering
relevant information before and during journeys. If interchanges can be made shorter, smoother,
or more reliable there is also the opportunity to provide travellers with shorter end-to-end journeys
for which they are willing to pay.
Summary of Value Spaces
EXPLORING THESE 10 IDENTIFIED VALUE SPACES FOR INTELLIGENT
MOBILITY HAS THE POTENTIAL TO UNLOCK A NUMBER OF VALUE POOLS
AND BRING ABOUT A SIGNIFICANT SHIFT IN SPENDING IN THE
TRANSPORT SECTOR AS A WHOLE.
By defining and developing Intelligent Mobility solutions to meet these challenges within
the Value Spaces a total Value Pool of £56bn (revenue opportunities) can be unlocked.
In particular, the following five areas of interest
are worth noting:
Private Vehicles
Already, a large proportion of drivers do not
value private car ownership and view it merely
as a means to an end. This does not, however,
exclude short- to medium-term opportunities
to provide additional vehicle improvements (e.g.
connectivity, autonomous driving and clean
powertrain) – which would represent a £0.5bn
annual source of value for e.g. automotive OEMs
and their research, development and supply chain.
This value is calculated on the annual value of
autonomous feature sales to Default Motorists
(taking into account the typical vehicle replacement
rate) and does not include the value of selling
autonomous features to other segments or the
value of autonomous taxi services.
The shift in value from vehicle ownership to
sharing and other vehicle based transport services
(estimated long term potential 15% shift of
revenue today) is also not necessarily a loss of
value for the automotive sector. For instance, car
sharing has been shown to have minimal impact
on total vehicle miles (and actually an increase was
observed in Germany)[13]. Given vehicle lifetime
is strongly dependent on miles driven, there
would be minimal decline in total vehicle sales.
However, the value shift prompts a number
of critical actions for OEMs:
Become the vehicle of choice for these new
service solutions.
Maintain the service, parts, and finance revenue
from these vehicles.
Understand their place in emerging intelligent
mobility markets: new transport and information
services.
New Transport Services
New transport services can range from
standalone solutions (e.g. car sharing and dynamic
bus services) to ‘Mobility as a Service’ mobility
options that leverage multi-modal transport
solutions. Although this represents a £33.5bn
value opportunity in the UK and many solutions
exist in this space there has been little uptake
to date. To unlock this value there would need
to be a step change in our understanding of both
traveller behaviour and new business models.
In the expected value chain for this market there
will be significant value in key activities such as
manufacturing and servicing vehicles, operations,
insurance, data collection and analytics and user
experience design. Data analytics will be a key
enabler in this space and provide optimisation
of demand and supply and enable better asset
utilisation. This will result in cost reductions for
travellers and hence data analytics is expected to
command a significant share of the value available.
Below:
Multi-modal
Journeys –
Value Pool
(Source: CVA
Analysis).
Below:
£56bn
of total Value Pool
identified in value
analysis (Source:
CVA Analysis).
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Four Transformational Themes
for Intelligent Mobility
Information Services
Information services focus on the utilisation
of data to deliver value to the traveller, influence
traveller behaviours, and optimise transport
systems. This data can come from transport
services (e.g. bus, rail, and taxi), connected
vehicles, transport planning services (e.g.
on smartphones, sat-navs, and computers),
and non-transport sources (e.g. social media
and weather stations). This is emerging as a
significant source of value in the UK transport
sector with £14.1bn of incremental value and
a further £2.7bn of redistributed value. To
unlock this value, data collection, integration,
processing, and visualisation will be key – along
with the information infrastructure to deliver
this. The uniqueness of the assets held (e.g.
skills, IP, access to travellers, type of data) will
govern the value distribution – along with
the ability to deliver exceptional user
experiences. As a whole, the value of data is
expected to be significant, with data quality
being a major driver as it provides the input for
delivering meaningful information to travellers
that is personalised and contextual. Beyond
the direct value of this data, it can also help
to deliver a better relationship with travellers.
Intelligent Infrastructure
Intelligent infrastructure connects and
integrates existing physical infrastructure (e.g.
traffic lights, road sensors, parking bays, and rail
signals) with vehicles and travellers to optimise
flows and utilisation – more effectively than
investing in new traditional infrastructure. The
major transport systems suppliers and smaller
enterprises can help achieve this aim through
systems and data integration. Demonstrating
value of intelligent infrastructure, compared to
traditional infrastructure investments, will be
key and parties involved will need to work closely
with local and central government to deliver
convincing business cases.
Goods Transit
There is an opportunity for innovation in
delivering goods to consumers. 27% of shopping
trips currently being made would rather have
been made ‘virtually’. Improved offers will require
a clear understanding of customer lifestyles
and a focus on business model innovation to
offer viable alternatives. Operational efficiency
attained by this will help reduce costs by
leveraging optimisation engines and information
services to provide real-time system flexibility.
Also, customers will benefit greatly from
improvements in time, reliability, and efficiency
made possible by Intelligent Mobility.
THE FUTURE TRAJECTORY OF INTELLIGENT MOBILITY FOCUSSES ON FOUR
THEMES, WHICH IN COMBINATION HAVE THE POTENTIAL TO TRANSFORM
HOW WE TRAVEL.
Across the framed challenges and identified
Value Spaces for Intelligent Mobility a number
of technologies, products and services have
been highlighted (e.g. shared mobility solutions,
autonomous driving features, and data-driven
services). Whilst some of these are already
market ready others are being developed and
will enter the market in the coming years. This
chapter explores Intelligent Mobility themes
through to 2030.
Experience in other sectors shows that it is
often the integration of many developments
along with a superior customer experience and
innovative new businesses models that lead to
step change in customer benefit. As an example,
in the telecommunications sector there had been
many early innovative developments (e.g. WAP
8
in the late 1990s/early 2000s [14], touch screens
as early as 1992 [15], push email from 1999 [16],
and mobile applications from the late 1990s [17])
that incrementally brought value to consumers.
It was only, however, when hardware,
software, content and services got integrated
in the iPhone that Apple would revolutionise the
way we engage with mobile communication and
connectivity.
Analogously, Intelligent Mobility will require
the integration of different technologies, products
and services that will result in a step change
in mobility. Four concurrent Transformational
Themes have been explored in the study that
explore development paths towards Intelligent
Mobility: Access, Demand and Supply,
Integration and Automation – as shown below.
On their own, the long-term visions for each will
revolutionise how we move people and goods,
but they will exhibit even greater step change
when they are combined.
Opp:
Four
Transformational
Themes for
Intelligent Mobility
(Source: Expert
Panel Workshops,
Expert Interviews,
and CVA Analysis).
Opp:
Exploring
the future of
Intelligent
Mobility at
the Transport
Systems
Catapult.
33
Traveller Needs and UK Capability Study
32
Four Transformational Themes for Intelligent Mobility
Realising Potential Value from Intelligent Mobility
Access Theme
Demand and Supply Theme
Description
The Access theme includes many developments
that extend the way travellers can use mobility
products and services. This future is characterised
by seamless user experiences, new business
models, and access to mobility assets. Privately
owned cars and traditional public transport are
no longer the only mobility options available to
travellers. New mobility services and innovations
within existing mobility options are broadening
their access to different types of mobility.
They rely on existing or slightly modified
vehicle types and smartphone connectivity to
enable access to these mobility assets. A critical
success factor is the user experience, making
it quick and simple for travellers to access
mobility, but also enabling a personalised and
context-aware experience while moving.
The Access theme has the potential to deliver on
many of the Value Spaces identified. In particular,
access to new and different mobility modes is
critical in meeting the lifestyle challenges of the
Progressive Metropolites, Default Motorists and
Dependent Passengers. Additionally, the Access
theme can also be a key enabler and accelerate
low emission vehicle uptake. With shared vehicle
services, ownership and depreciation of the
battery no longer needs to be a traveller concern
and a more seamless integration with charging
infrastructure is possible. Developments within
the Access theme include:
Shared mobility assets (e.g. car and bike
sharing schemes).
Multi-purposing of assets (e.g. peer-to-peer
car sharing or private-vehicle based freight
delivery).
‘Mobility as a Service’, where end-to-end
journeys are available to travellers at the
touch of a button (e.g. taxi hailing apps and
demand responsive buses).
‘Democratisation’ of mobility, customising
and personalising elements of the mobility
value chain (e.g. telematics insurance) to
make them more affordable for specific
traveller types.
Virtual mobility, removing the need to travel
altogether (e.g. video conferencing and goods
delivery solutions).
Description
This theme encompasses developments
that seek to balance demand and supply within
transport systems more effectively.
This involves shifting flows to less congested
routes, reducing peak demand, and reducing
downtime of mobility assets with spare capacity.
Currently, congestion is confined to specific
routes and times of day – even on the London
Underground, congestion is ‘highly regular’ and
‘concentrated in rather short time periods’ [18].
The goal should be to reduce these demand
peaks that cause crowding of public transport,
delayed drives, and other traveller pain-points.
This would ensure that the existing mobility
assets can be fully utilised where spare capacity
is available.
Matching transport demand and supply
can have a significant impact to transport
systems, increasing flows, opening up capacity,
and improving resilience – equivalent to the
effect of physical infrastructure investments
(e.g. road widening). The benefits of tackling
congestion with Intelligent Mobility solutions,
rather than traditional investments needs to
be demonstrated on a case-by-case basis. The
Demand and Supply theme will, equally, be a
major contributor to the success of the Access
theme, where the provision of access in a cost
efficient way can fundamentally change the
value proposition. Effective flow and capacity
management will significantly contribute to
the success and profitability of shared vehicle
schemes and ‘mobility on demand’ services.
Development Path
A continuous development path is expected in
the short-term (2015-2020), refining the traveller
experience, exploring different commercial offers,
and focusing on broadening the appeal of these
offers across different types of journey and use
cases. Many solutions have already reached
significant size in major cities, such as Uber,
ZipCar, and Santander Bikes in London. To
reduce costs and get high utilisation of vehicles,
these players will have to grow their scale and
in achieving this, it is likely that offers will be
extended to user groups beyond the private
traveller (e.g. commercial travel or delivery
services). Other short-term developments
are likely to include those focused on private
vehicles, such as insurance telematics or peer-
to-peer vehicle sharing.
In the medium term (2020-2025), new forms
of access solutions are likely to emerge. The
greatest opportunity is in dynamic shared
transport (e.g. shared taxis and demand
responsive buses), becoming widely available
and accepted by the traveller. Additionally,
there is likely to be further integration between
transport modes and services, allowing the
concept of ‘Mobility as a Service’ to be fully
realised. Combinations of alternative transport
modes and public transport are able to provide
the equivalent convenience and flexibility of
private car ownership.
In the long-term (2025-2030), a rapid
introduction of autonomous shared mobility
solutions is conceivable (e.g. combining Access
and Automation themes), when business models
and user experiences have been validated and
optimised.
Development Path
For this development path a critical enabler
will be to understand traveller behaviour.
For example, in time-shifting demand it is
important to understand how travellers will
react to information and pricing, accounting for
the traveller type, mobility lifestyle and mobility
situation. Until autonomous mobility is available,
geo-shifting demand to less congested routes
will rely on various types of traveller information
delivered for example through smartphones,
in vehicle or electronic message signs to
encourage travellers to take different routes.
Predictive analytics (and prescriptive analytics
in the long run) can provide a higher granularity
to understanding traveller journeys and optimally
match transport supply. With a fundamental
traveller understanding opportunities will
emerge for a range of Intelligent Mobility
solutions that seek to act on both the demand
and supply side. To manage the demand
and supply balance across multiple modes a
degree of transport systems development and
integration is required first.
Enablers
Whilst enabled more by business model
innovations than by technology developments,
mobility solutions in this area rely on connectivity.
Providing ubiquitous connectivity (i.e. seamless
and reliable coverage of mobile data) is therefore
a fundamental enabler. Car and bike sharing
have not yet enjoyed high uptake in the UK and
it is likely that there are simply not enough use
cases where using these types of services is
convenient and cost-effective for travellers. It
is important that local authorities are engaged
and support new access schemes, by enabling
on-street parking, considering the portion of the
population that are not able to use smartphones,
and potentially with further measures such as
special lane access for shared vehicles. Cross-
sector collaboration is also important, giving
access to off-street parking for instance or placing
shared vehicles at train stations. Multi-modal
integration will be a further driver of increased
uptake and the objective should be to encourage
travellers to consider these new mobility options
(either for full journeys or as part of a multi-
modal journey). As such it is important that these
are integrated both physically (e.g. interchanges)
as well as digitally (e.g. journey planning apps).
Opening up data and providing ‘Application
Program Interfaces’ (APIs) are key to accelerate
uptake (e.g. live vehicle availability). Reaching
travellers beyond the urban segments, however,
will be more difficult. Here, employer initiatives
(e.g. cycle to work employee schemes) are likely
to be more successful and shared mobility
solutions based upon private car ownership
(e.g. peer-to-peer car sharing or ride sharing)
should be encouraged.
THE MAJORITY OF DEVELOPMENTS
IN THE ACCESS THEME ARE RELATED
TO BUSINESS MODEL INNOVATIONS,
RATHER THAN TECHNICAL
INNOVATIONS.
GEO-SHIFTING DEMAND, TIME-SHIFTING
DEMAND, AND DYNAMIC SUPPLY
MANAGEMENT TO OPTIMISE ASSET
UTILISATION.
Opp:
Access Theme.
Opp:
Demand and
Supply Theme.
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Four Transformational Themes for Intelligent Mobility
Four Transformational Themes for Intelligent Mobility
There are short-term (2015-2020)
opportunities in better presenting transport
information to travellers that effectively ‘nudges’
their behaviour. A key challenge is how to
engage the traveller if only 12% make an active
choice about their travel. Without reaching a
significant number of travellers the benefits
will centre on the individual. This could provide
significant value for travellers that are more
flexible in how and when they travel – being able
to avoid congestion throughout their end-to-end
journeys.
In the medium-term (2020-2025),
transport systems are expected to become
increasingly connected, including V2V and V2I
communications. This will give a step change
in the ability to dynamically manage demand
and supply in real-time. With live information
from vehicles (e.g. their destination, expected
routing, and time to the next traffic light),
traffic management systems will be in a much
better position to manage flows. Further
measures such as dynamic road pricing could
be introduced and a direct feedback loop to
the vehicle allows for much better traveller
interaction and guidance.
In the long-term (2025-2030), this could
culminate in city ‘central flow’ optimisation
with every vehicle participating in the system.
However, such a ‘command and control’ scenario
is unlikely with a significant number of legacy
vehicles still on the road and no requirement
to participate. It is more likely that ‘localised’
optimisation algorithms are in place and that
advanced measures such as dynamic lane
allocation or flexible one-way systems are
implemented. Furthermore, dynamic and
predictive timetabling of public transport will
enable significantly better supply management.
This will not only address many traveller pain-
points, but also boost the overall efficiency of the
transport network – delivering cheaper journeys
for travellers and more efficient public spending
for government.
Integration Theme
Description
The Integration theme brings together
disparate information, systems, and services to
provide travellers with a seamless end-to-end
experience within the transport network. This
integration covers three key areas: information,
ticketing, and interchanges. For the purposes of
this report Integration refers to the integration
between the different transport modes and
operators that travellers may encounter on their
journeys. Integration in the traffic management
sense (e.g. flow control through V2I communications)
is considered as part of the Demand and Supply
and Automation themes.
Integrated information is relevant to all
transport modes, which allows travellers to
better plan their full journeys and make an
increased number of informed transport modal
choices – even adjust their journeys as they take
place. A lack of integrated ticketing and booking
across transport modes and geographies is
currently a key barrier to multi-modal travel.
Improving the interchange experience through
enhanced indoor navigation or more dynamic
platforming and timetabling will further
encourage multi-modal journeys and remove
key pain-points. However, integration is perhaps
most valuable in combination with the previous
themes discussed. For Access, it unlocks
‘Mobility as a Service’ where travellers can
seamlessly travel across all transport modes
without having to think about payments and
ticketing. It also brings new transport modes
for the first and last mile of travel – significantly
broadening the appeal of multi-modal travel by
making it convenient and flexible. For Demand
and Supply, the integration of data sources is
a key means to system-level optimisations but
also provides the ability to engage with travellers
on their journeys.
Development Path
More and more information is already being
integrated and there are several players who
have taken great strides in providing integrated
travel information – notably Google, Citymapper,
ITO World, TransportAPI, and TrapezeGroup in the
UK. This has been enabled by open data initiatives
such as TfL in London, through purchasing of
commercial data, and through integration of
non-traditional transport data sources (e.g.
smartphone data). There will be continued
evolution in the coverage and quality of traveller
information across all transport modes, including
integration of information beyond transport such
as restaurant or theatre bookings.
How this data is presented and interacted
with by the traveller will also continue to evolve
with expected next steps being the proactive,
dynamic, and context-aware presentation of
information across devices – including wearable
technologies such as smart watches.
Different ticketing systems need to be
integrated, including those of new transport
service providers such as car or bike sharing
schemes and app-based taxi services. Whilst
the Oyster and contactless system in London
is world-leading in ticketing systems, this
could be extended towards nation-wide multi-
modal travel if commercial arrangements can
be made to integrate all possible transport
providers. In the short-term it is likely that
third party providers currently focusing on
end-to-end traveller information will attempt to
integrate ticketing and act as an intermediary.
In the medium-term, standardised end-to-end
ticketing could be achieved, with a long-term
vision of a full ticketing system for mobile
devices that does not require physical payment
and optimises costs for the traveller.
Developments in physical interchange are
highly situational and continuous development
is expected in the short- and medium-term.
Step change can be achieved once dynamic
timetabling and routing is common place in
public transport.
Enablers
The fundamental enabler of the Demand
and Supply theme is the availability of open,
reliable, and highly granular data. Transport
systems will be able to manage travel flows
significantly better if real-time data can be
aggregated (e.g. congestion levels and incidents
on road and rail). Currently unavailable data that
would significantly enhance capabilities include
data on the types of vehicle (e.g. differentiating
between cars, taxis, buses and cyclists on the
road), intended destinations, and live loading
or capacity data of all public transport vehicles.
This could be further enhanced by integrating
predictive and prescriptive capabilities, but
significant analytical capabilities will be required
(both in terms of computational power as well
as algorithm design and data visualisation).
There is significant value in not just using
this data for centralised traffic control systems
but also in making it open to encourage third
party developers to create intelligent journey
solutions. To ensure demand can be adequately
managed (e.g. incentivising traveller behaviour)
a good understanding of traveller psychology
and behaviour is necessary. Understanding
how travellers react to guidance or to dynamic
pricing is important, as is the ability to predict
behavioural changes when incidents occur
in the transport network. There is both a role
for academic research to understand the
fundamentals but also to conduct business
experiments to validate and refine their theories.
Demand and Supply developments will radically
change entire transport systems.
There is a requirement for more active
engagement from local and central government
to support developments in this area. This
increased involvement should be leveraged as
an effective means to collate and disseminate
behavioural and psychological understanding.
Also, a city or national approach to Demand
and Supply could prove fruitful and, in doing
so, would provide travellers with a consistent
traveller experience. Finally, a step change in the
effectiveness could be achieved in combination
with autonomous mobility. A connected and
autonomous vehicle will be able to better follow
central guidance, adjust its speed in real-time
to enable smoother flows, and provide better
throughput of more vehicles on the road (e.g.
platooning). With a fleet of autonomous taxis that
are always on the move, parking infrastructure
could be minimised and the right vehicle for the
right traveller type and journey could be provided
(e.g. smaller pods for individual travellers).
THERE IS SIGNIFICANT VALUE IN
MAKING DATA OPEN TO ENCOURAGE
THIRD PARTY DEVELOPERS TO CREATE
INTELLIGENT JOURNEY SOLUTIONS.
INTEGRATION FOCUSES ON IMPROVING
THE EXPERIENCE OF END-TO-END
JOURNEYS – REMOVING MULTI-
MODAL PAIN-POINTS AND PROVIDING
RELEVANT INFORMATION TO MAKE
JOURNEYS BETTER.
DEVELOPING INTEGRATED TICKETING IS
AS MUCH A COMMERCIAL CHALLENGE
AS A TECHNICAL ONE.
Opp:
The Demand and
Supply of future
mobility options
will both have to
be considered
for Intelligent
Mobility.
Opp:
Integration
Theme.
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Traveller Needs and UK Capability Study
Four Transformational Themes for Intelligent Mobility
Four Transformational Themes for Intelligent Mobility
Enablers
In the short-term, connectivity becomes a
fundamental enabler to provide reliable delivery
of information to travellers at important stages
in their journeys. This connectivity needs to be
able to provide seamless coverage (both on and
off the transport network) and have sufficient
speed to deliver the information. The availability
of transport data will be pivotal and open data
has proven to be an effective means. Whilst TfL
is seen as the leader in this space there are a
large number of transport operators across the
country who do not yet provide adequate live
data and APIs to access their data. Collaboration
between players, such as transport operators,
vehicle manufacturers, and traveller information
providers would help to establish workable
standards and ensure that learnings are
appropriately disseminated to stakeholders.
Enablers
Key to successfully bring autonomous cars
to market readiness is validation and real-life
learning. The underlying technology is largely
ready and only requires cost reduction through
scale production. Significant progress needs
to be made, however, with on-road testing
to understand vehicle behaviour in different
conditions (e.g. road types, traffic situations, and
weather) and how people interact with different
levels of autonomous vehicles. The USA
is ahead
in this area with Google’s driverless
cars having
driven over a million miles already [19].
Facilitating end-to-end ticketing and
pricing is a significant technical, commercial,
and political challenge that spans multiple
stakeholders. There will be a need for
government interventions to help overcome
this, both to define the national approach and
to stimulate change throughout the sector. It
is key to establish a mechanism that allows
fair distribution of revenues between operators
on a multi-modal journey. To measure the
success of continued integration multi-modal
key performance indicators (KPIs) measuring
the end-to-end journey experience need to
be established. This will provide a better
understanding of which elements of a multi-
modal journey need to be prioritised for
improvements and how lack of integration
impacts travellers.
It is critical that similar activities are
supported in the UK. To accelerate the market
readiness of autonomous cars legislative and
insurance barriers regarding accident liability
need to be fully resolved. Physiological issues
around motion sickness will need to be fully
understood as well. Finally, the UK has an
opportunity to accelerate adoption and benefits
delivered from Automation (e.g. by mandating
minimum automation standards and connectivity
levels).
Automation Theme
Combining the Four Transformational Themes
Description
This theme is the most dependent on technology
and the types of autonomous functions on the
horizon range from increasingly sophisticated
driver assist features to fully autonomous drive.
Drivers who use autonomous features could
benefit from reduced fatigue, additional productive
time, and specific use case benefits such as
automated valet parking – not to mention the
increased safety of autonomous drive technology.
A shift in operating costs (e.g. driver salaries,
insurance) is conceivable as well for transport
service operators (e.g. taxis) if they adopt fully
autonomous vehicles. When sufficient penetration
is reached, there is a significant opportunity to
boost overall transport efficiency (with autonomous
V2V and V2I communications), which would deliver
faster flows and greater capacity (e.g. through
vehicle platooning).
Combining Automation with Access (assuming
connectivity) will bring a step change in benefits.
When travellers can rely on shared autonomous
transport to provide their end-to-end mobility
needs, there will be a declining demand for private
vehicle ownership – providing a change to the
automotive industry.
The expected development paths of the four
themes will all help to realise some level of
traveller benefits. The Demand and Supply
theme, however, is expected to offer the greatest
potential benefits in meeting traveller needs
from now until the considered 2030 time horizon
for this study. The reason for this is because
the theme is expected to address system-level
benefits at scale across all transport modes,
whereas the other themes will only deliver
benefits to a portion of the Intelligent Mobility
market. Whilst each of the themes delivers
traveller benefits, when they are combined a
much greater impact is attainable. There are a
number of key synergies between the themes
that can deliver a step change in end-to-end
journey and traveller experience.
Development Path
Full technology readiness for autonomous
driving is difficult to predict but it is likely that
in the short-term (2015-2020) there will be
incremental developments in driver assist
features and use-case specific applications of
autonomy (e.g. motorway platooning). In the
medium-term (2020-2025) it is expected that the
first consumer-ready autonomous vehicles could
be launched. Automotive OEMs are developing
increasingly sophisticated driver assist systems
that will eventually lead first to partial and then
full autonomy. At the same time digital players
(e.g. Google, Apple, and Uber) are aiming to leap-
frog many of the initial stages of Automation
development by focusing on fully autonomous
vehicles first. Much of the required underlying
technology is principally ready but it is the
real-life testing and validation that is needed
(e.g. autonomous vehicles building experience
in how to deal with real road situations). With
increasing consumer acceptance and technical
sophistication, it is expected that autonomous
services will emerge in the long-term (2025-
2030). Looking beyond 2030, as autonomous
vehicles become sufficiently common, system-
level optimisation will emerge and make travel
smoother and quicker for all.
Integration can play an important part in
broadening the ability for the Demand and Supply
theme, as traveller flows and capacity across
modes can be more efficiently matched. In the
long-term (2030 and beyond) there will also be
large synergies with the Automation theme when
autonomous vehicles reach a significant scale
in the UK – providing an opportunity to optimise
the flows of these vehicles when they are fully
autonomous. When combined with the Access
theme, Integration enables the traveller to make
use of ‘Mobility as a Service’ – the seamless
access to different mobility options for travellers.
This will make alternative transport modes
an increasingly viable option for travellers and
allow them to forego private vehicle ownership
completely.
AUTOMATION ON ITS OWN ONLY BRINGS
LIMITED TRAVELLER AND TRANSPORT
SYSTEMS BENEFITS.
Opp:
Four
Transformational
Themes (Source:
Expert Panel
Workshops,
Expert Interviews,
and CVA Analysis).
Opp:
Automation
Theme.
3938
Traveller Needs and UK Capability Study
Four Transformational Themes for Intelligent Mobility
Four Transformational Themes for Intelligent Mobility
Capabilities for
Intelligent Mobility
The combination of the Access and
Automation themes will enable ‘Autonomous
Taxis’ – leading to dramatic cost reduction by
eliminating the labour cost associated with the
driver and reducing insurance costs. This would
bring significant value to all travellers as they are
freed from the pain-points and costs associated
with private car ownership.
When all four themes are combined beyond
2030 a step change would be achieved for
travellers in the UK. Such a future would
conceivably include multi-modally integrated,
flow-optimised, zero emissions fleets of
driverless vehicles. Travellers would be able
to seamlessly move between transport modes,
utilising cost-effective public transport with
individual first and last mile autonomous taxi
solutions. Such a future would deliver significant
value to the traveller, optimise capacity, improve
safety, and lower emissions across UK transport
systems. Whilst this future is unlikely to be fully
realised by 2030, the development paths towards
this vision create a significant opportunity for
improving the end-to-end journey of travellers
and improve the UK transport systems more
generally.
Across the four themes there are individual
short-term enablers that warrant attention to
help accelerate their development paths. In
the medium-term, however, there is a need for
Intelligent Mobility (by means of combining the
themes) to become a cornerstone of transport
policy. Continuous innovation and structured
learning will be important especially in three
Core Combinations (Mobility as a Service’, ‘Inter-
modal Demand Management’, and ‘Autonomous
Taxis’), which will ensure that new developments
reach investment, market, and business
readiness quicker and meet traveller needs.
WHEN ALL FOUR TRANSFORMATIONAL
THEMES ARE COMBINED A STEP-
CHANGE CAN BE ACHIEVED FOR
TRAVELLERS IN THE UK BEYOND 2030.
Capability Description Examples
DATA COLLECTION, STORAGE AND MANIPULATION
Sensing
Capability
Sensing capability across
environmental, count and classification
(e.g. vehicles and people), to detection,
tracking and vision.
Laser-based sensors
Radar
Infrared
Ultrasound
Weather and emissions sensors
Localisation
& Mapping
Technologies enabling an understanding
of the local environment (e.g. ‘where
you are and what is around you’).
Satellite Imaging and Earth Observation
GNSS
9
Integrated positioning
SLAM
10
High resolution local mapping
Computer vision
Data Privacy
& Security
Secure flow of data (data security) as
well as the safe storage of data (data
protection).
Encryption techniques
Data anonymisation and protection
techniques
Cyber security measures
Information
Processing
Processing and storage of information.
Usually involves the processing of large
volumes of data.
Data centre and storage
CPU
11
technologies
Cloud computing
Data compression
Quantum computing
VEHICLE EFFICIENCY
Low Emissions
Propulsion
Low emission propulsion systems
and associated technologies.
FCEV
12
BEV
13
PHEV
14
ICE
15
Unconventional / Other
Material Science
Set of technologies involved in the
creation and development of new
materials.
Lightweight materials
Multifunctional Materials (e.g. conductive
and negative emissions)
Nanotechnology
Manufacturing
Techniques
Advancements in manufacturing
technology and processes (e.g. rapid
prototyping).
Additive Manufacturing and 3D Printing
Advanced robotics (e.g. collaborative
robotics)
Platform modularisation involving design
technique
THE FOUR TRANSFORMATIONAL THEMES FOR INTELLIGENT MOBILITY WILL
REQUIRE A NUMBER OF KEY CAPABILITIES TO BE TARGETED AND DEVELOPED.
In the study, several capabilities have been identified that act as fundamental enablers for Intelligent
Mobility. Here these capabilities are explored and prioritised for development in the UK. The following
table represents a summary of each capability as well as examples.
Opp:
Capabilities for
Intelligent Mobility
(Source: Expert
Panel Workshops,
Expert Interviews,
and CVA Analysis).
Opp:
Combined
Transformational
Themes (Source:
Expert Panel
Workshop, Expert
Interviews, and
CVA Analysis).
41
Traveller Needs and UK Capability Study
40
Capabilities for Intelligent Mobility
Four Transformational Themes for Intelligent Mobility
Capability Description Examples
DATA UTILISATION
Real-time
Control
Technologies and processes that enable
real-time intelligent control of vehicles
or systems.
Complex event processing
Decision-making algorithms
Motion stabilisation
Navigation &
Path Planning
Systems and processes enabling
routing, path planning, image
processing and analysis and obstacle
detection.
Path planning algorithms
Image processing and analysis
Obstacle detection and avoidance
Analytics &
Simulation
Systems, algorithms and processes
ranging from the handling and analysis
of big data, predictive and prescriptive
analytics, and machine learning.
Big data
Predictive modelling
AI
16
Data
Visualisation
Ways of structuring and displaying
large amounts of data or information in
a consumable and meaningful way that
can be used to inform stakeholders,
decision makers, operators or the
traveller.
Visual perception understanding
Image generation and rendering
TRAVELLER INTERACTION
HMI &
Interaction
Design
Technology, techniques and design
methods that enhance the driver/
passenger experience, enables better
driver/passenger information and can
help to influence traveller behaviour.
Voice and gesture recognition
Augmented reality
Eye tracking
Human condition monitoring
Information and entertainment displays
Computer brain interfaces
Human-Centred Interactive Systems Design
Traveller
Behaviour &
Psychology
Techniques, methods and technologies
used to improve the understanding of
traveller decision making processes
and behaviour.
Crowd behaviour modelling
Choice modelling
Price elasticity modelling
Heuristics, selection and decision-making
models
INFRASTRUCTURE ENABLERS
Energy Storage
& Distribution
Technologies and methods that enable
efficient storage, distribution or
recovery of energy.
Battery chemistry
Hydrogen storage and distribution
Charging (e.g. fast charging and inductive
charging)
Energy recovery
Smart grid
Connectivity
& Networks
Ability to connect different systems,
travellers, goods, infrastructure with
the goal of establishing ‘ubiquitous
connectivity’.
Cellular systems (e.g. 3G, 4G, and 5G)
Satellite connectivity
WiMAX
17
Systems
NFC
18
Fibre optic
Mesh networks
SDN
19
(e.g. Radio and Network)
Television white-space
Standards and communication protocols
(e.g. V2I, V2V, and V2X)
Access Automation Integration
Demand &
Supply
Connectivity
& Networks
High High High High
Connectivity is a key enabler to all revolutions as most
Intelligent Mobility functions require some form of basic
connectivity.
HMI &
Interaction Design
High High High High
High quality HMI & Interaction Design is crucial for all
themes.
Traveller
Behaviour &
Psychology
High Medium High High
Understanding traveller behaviour is crucial to better
manage Demand & Supply, provide better access and
integrate different transport modes (Integration). It also
requires a good understanding of how drivers interact
with Automation.
Localisation
& Mapping
Medium High Medium High
Localisation & Mapping is particularly important
to enable the Automation theme as well as better
management of Demand & Supply.
Data Privacy
& Security
Medium High Medium Medium
Although most themes could be enabled by a basic level
of functionality, Data Privacy & Security are often crucial
to build the required level of traveller trust and ensure
system security – in particular for the Automation
theme.
Analytics &
Simulation
Medium Medium Medium High
Analytics & Simulation is the backbone behind many
Intelligent Mobility functions and therefore is important
throughout most themes – in particular for the Demand
& Supply theme.
Information
Processing
Low High Medium Medium
Information processing operates in the background
of most revolutions.
Most likely it would be most heavily relied upon for
automation as well as to a lesser extent for integration
(for functions such as dynamic timetabling) and supply
demand management (i.e. traffic flow optimisation).
Sensing
Capabilities
Low High Low Medium
Sensing Capabilities are key enablers of the Automation
theme but it can also improve the Demand & Supply
theme through better counting and classifying vehicles.
Data
Visualisation
Low Low Medium Medium
Data Visualisation is not key to enable any of the themes
but is often a valuable addition.
Real-time
Control
High Low
Real-time Control is mostly needed to improve
autonomous vehicles.
Navigation &
Path Planning
Medium Low
Navigation & Path Planning is predominately required
for autonomous vehicles.
Material Science
Low Low
Material Science provides advanced materials that enable
the Access theme and improved vehicle builds.
Manufacturing
Techniques
Low Low
Advanced Manufacturing Techniques provide improved
manufacturing for new types of vehicle.
Energy Storage
& Distribution
Low Low
Energy Distribution & Storage is not an essential
enabler of Intelligent Mobility.
Low Emissions
Propulsion
Low Low
Low Emissions Propulsion is not an essential enabler
of Intelligent Mobility.
Capability Assessment
To establish a prioritisation amongst the
capabilities for development in the UK,
two dimensions were considered:
Importance for Intelligent Mobility:
expected ability to enable Intelligent
Mobility developments both in terms of
bringing new solutions to market as well
as realising value.
UK Competitive Positioning of Capability:
an assessment of UK strengths compared
to other countries, including potential for
future development in the UK.
Bringing these two dimensions together
creates a Capability Priority Matrix for
Intelligent Mobility. Core Capabilities are
those that provide substantial benefits to
delivering Intelligent Mobility where the UK is
comparatively strongly positioned. Whilst all
the capabilities shown in the table below are
relevant to Intelligent Mobility, some are more
important than others in the context of the
four Transformational Themes. As an example,
Real-time Control is very important for enabling
autonomous driving but is much less important
to enable new forms of car sharing services or
integrated ticketing.
2
1
Below:
Capability
Assessment
(Source: Expert
Panel Workshops,
Expert Interviews,
and CVA Analysis).
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Capabilities for Intelligent Mobility
Capabilities for Intelligent Mobility
The ranking in the previous table shows
how important Connectivity & Networks is to
deliver Intelligent Mobility, which reflects that
a basic level of connectivity is a fundamental
underpinning to most Intelligent Mobility
applications (ubiquitous more so than speed
of). Most applications of Intelligent Mobility also
contain some form of HMI & Interaction Design
and Traveller Behaviour & Psychology to be
successful. At the other end of the spectrum,
Energy Storage & Distribution as well as Low
Emissions Propulsion capabilities were assessed
as being less central to enable most Intelligent
Mobility functions. Indeed, very few Intelligent
Mobility applications require these capabilities.
Few Intelligent Mobility applications for example
require a clean powertrain or sufficient coverage
of charging points as fundamental enablers (e.g.
autonomous vehicles can be run on conventional
powertrains). It is important to stress that this
ranking is not a reflection of the overall potential
market size for these capabilities (current
or future) but merely a ranking based on the
importance of a particular capability as an
enabler for Intelligent Mobility. It equally does
not negate the important contributions that both
of these capabilities are likely to make to reduce
overall emissions.
UK Competitive Positioning
The assessment of the UK’s competitive positioning is based on qualitative information provided
during 100 Expert Interviews with senior stakeholders in areas related to Intelligent Mobility.
The results were then further validated through Expert Panel workshops and reviewed by the study’s
Industry Review Group and Project Steering Board. This section outlines the rationale behind the
ranking for each capability.
‘World Class’
HMI & Interaction Design
The UK’s leading position is represented by
a mature UK design industry and the ‘Silicon
Roundabout’ in London continues to grow along
with world leading expertise in app and high-
tech solutions. The UK as a whole benefits
from great diversity. Static and non-static
information displays is an area where the UK has
traditionally also excelled in with the information
displays during the London 2012 Olympics being
frequently cited by experts. Other examples
include some of the UK’s success in app design
with transport apps such as Citymapper, Hailo,
and Kabbee. Whilst the UK is positioned on a
world class level, strong contenders exist in
some of the Nordic countries as well as the USA.
Ahead of Most Countries
Analytics & Simulation
The UK has a clear strength in the analytics
involved in Urban Traffic Control. The London
SCOOT system is widely regarded as leading
system and was frequently cited by the experts
interviewed in this study. The UK is equally well
regarded for the scientific analysis involved in
UTC and train/air/marine systems. The UK also
has a significant capability in machine learning
at University level, although much research
and innovation is being carried out by large
multinationals with mostly a US focus (Microsoft,
IBM, and Google).
Localisation & Mapping
In the mapping space the UK is strongly
positioned with a world leading mapping
institution (Ordnance Survey). In addition to
static mapping, the UK is strongly positioned
in academia with world class research
being conducted at several universities on
simultaneous localisation and mapping (SLAM).
Navigation & Path Planning
Many of the future and current GNSS location-
based services will be driven by international
initiatives, such as the European Galileo project.
The UK has key strengths in path planning on a
research and academic level.
Energy Storage & Distribution
Several UK universities are undertaking world
class battery chemistry research, though the
expertise around battery assembly, integration
and manufacturing is largely concentrated in
Asia-Pacific (e.g. Korea and China).
Low Emissions Propulsion
The UK leads Europe in the design and
manufacture of advanced powertrains, with the
UK being the second biggest producer of ICEs
in Europe (2.5 million per year). The UK is also
continuously acquiring skills in BEV and PHEV,
in addition to the UK’s strong legacy in low
emissions ICE. Other countries such as Germany
and Japan were cited as being equally advanced
if not slightly ahead with hybrid and electric
vehicle powertrains.
Data Privacy & Security
The UK has key strengths in cyber security
but, due to national security and defence, these
capabilities are often less publicised. The
UK’s Academic Centres of Excellence in Cyber
Security Research (ACE-CSRs) are driving
continuous further development. Whilst there
are key data privacy and security skills in the
UK outside of transport, V2V communications
security is less well developed.
‘On Par with Most Countries
Information Processing
The UK does have some strengths in this
capability with a large number of semi-
conductor businesses in the UK, most notably
ARM. However, a large proportion of these
businesses are under foreign ownership. The UK
is conducting advanced research in this field at
many universities but in the private sector most
players are global with a USA focus (e.g. Intel) –
which prevents the UK from being ahead of most
countries in this space.
Material Science
The UK is at the forefront of research in many
advanced materials, in particular lightweight
materials (e.g. aluminium, magnesium, polymeric
composites, nanotechnology, and graphene).
Several expert interviews noted, however,
that the UK is lacking behind in the
commercialisation of the research and supply
chains must be established to support this
endeavour (e.g. as for carbon where demand
from aerospace and Formula 1 has supported
steady growth).
Manufacturing Techniques
Whilst the UK was cited as having a leading
position in fundamental technology research
(TRL
20
1-3) it is seen as weaker in the latter
stages of technology development (TRL
4-7). Additive Manufacturing and 3D printing
capabilities were described as broadly on par
with other countries such as China and the USA.
Formula 1 and its low volume and high quality
SME
21
manufacturing industry was mentioned
as a great example of the UK excelling in a highly
technical niche of the manufacturing space.
Connectivity & Networks
Although the UK was seen as conducting
leading research and development in this space
(e.g. 5G Innovation Centre in Surrey) similar
basic research is being conducted in Japan,
Korea and China – along with other European
countries. The UK was seen as behind most
countries when it came to the commercialisation
of new telecommunications and networking
technologies, as most of the valuable IP in this
area is owned and created by large
telecommunications equipment providers
abroad (e.g. Nokia, Ericsson, and Huawei).
Real-time Control
The UK is at the forefront of Real-time Control
research through Oxford University and many
other universities. The UK is positioning itself as
a leader in this capability through autonomous
vehicle trials such as the ‘UK Autodrive’
project but the USA, Sweden and Germany
are also contenders for a top position in this
field (e.g. DARPA Robotics Challenge, Google
Car, Volvo Drive Me, and Audi RS7). The UK
focus has generally been towards autonomous
vehicle navigation without dependence on
communicating with the environment (e.g. V2I).
Opp:
Assessment of
UK strengths
compared to
other countries,
including
potential
for future
development in
the UK (Source:
Expert Panel
Workshops,
Expert
Interviews, and
CVA Analysis).
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Traveller Needs and UK Capability Study
Capabilities for Intelligent Mobility
Capabilities for Intelligent Mobility
‘Moderate Capability with Opportunity to Grow’
Data Visualisation
Although SMEs (e.g. ITO World) and academia
(e.g. University College London’s CASA
22
) in the
UK have key capabilities, the UK as a whole was
seen to be not quite on par with other countries.
The UK has potential to catch up in this field,
especially when leveraging its strong capability
in HMI & Interaction Design.
Traveller Behaviour & Psychology
The experts see the UK as having some expertise
and noteworthy research (e.g. the Behavioural
Insights Team, Nottingham University’s HFRG
23
,
and University of Leedss CMC
24
) but as being
somewhat behind other countries leading in this
field – in particular some of the Nordic countries
such as Sweden and Finland.
Capability Priority Matrix
The Capability Priority Matrix is a useful graphical tool for presenting the relative benefits
capabilities provide to delivering Intelligent Mobility value.
High benefit capabilities are in the top right
of the Capability Priority Matrix, where the
capabilities will potentially have a high impact
and the UK shows competitive strengths. The
value of the Capability Priority Matrix lies in
focusing the discussion on where the UK should
target its efforts to drive global leadership in
Intelligent Mobility. It also provides a snapshot
of key investment areas for the UK that can
most effectively further Intelligent Mobility
developments. In particular, it is a useful
framework for making explicit judgments about
the potential benefits of capabilities and their
functions and applications – with the ability
to benchmark against other capabilities and
countries. The vertical axis looks at the potential
benefit of the capability to Intelligent Mobility,
rated as either essential, high, medium, low, or
restricted. The horizontal axis groups capabilities
in accordance with the UK’s competitive strength.
A cluster of six Core Capabilities emerged as
priority development areas. With four of these
the UK was assessed as being at least ahead
of other countries in their development (HMI
& Interaction Design, Localisation & Mapping,
Data Privacy & Protection, and Analytics &
Simulation). The UK was judged to be on par with
other countries and having moderate capability
with opportunity to grow with the two remaining
Core Capabilities (Connectivity & Networking
and Traveller Behaviour & Psychology). Because
these two are critical enablers of Intelligent
Mobility (and many other sectors of the economy)
they were considered priority development
areas as well. In fact, developing expertise and
experience in Traveller Behaviour & Psychology
will be a key competitive advantage in delivering
Intelligent Mobility solutions globally. Information
Processing is located at the centre of the
Capability Priority Matrix and investment in this
space should be carefully considered.
Another cluster of four capabilities emerged
that are important to transport more generally
and specifically to autonomous vehicles (Real-
time Control, Navigation & Path Planning,
Energy Storage & Distribution, and Low
Emissions Propulsion). These have the potential
to also provide value outside of transport (e.g.
energy storage) but not specifically to Intelligent
Mobility (compared to some other capabilities).
The UK’s relatively strong positioning in these
areas makes them nevertheless capabilities
that should be further developed. However, the
business case for further investment is likely to
require value from other areas than Intelligent
Mobility and will have to be assessed in a more
general transport or other context.
‘Limited Capability with Difficulty to Catch up’
Sensing Capability
Although the UK is comparatively
academically strong, particularly in vision-based
sensors, the UK has not developed a strong ‘tier
one’ capability that can deliver the scale required
for the automotive and transportation sectors.
UK universities also face tough competition from
other universities in Europe and elsewhere.
A centre of excellence for sensor technology has
so far not emerged and the UK faces competition
on the commercial side from ‘tier one’ automotive
suppliers from abroad. Improvements
in the
manufacturing process and production of larger
volumes will increasingly commoditise the
sensor market and drive down prices.
Opp:
Capability Priority
Matrix (Source:
Expert Panel
Workshops,
Expert Interviews,
and CVA
Analysis).
Below:
Transport
Systems
Catapult
bringing the
UK together
to support
innovation
in smart
infrastructure.
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Traveller Needs and UK Capability Study
Capabilities for Intelligent Mobility
Capabilities for Intelligent Mobility
Investing in Intelligent Mobility
(Recommendations)
A NUMBER OF KEY ACTIONS ARE REQUIRED TO ESTABLISH THE UK AS
A LEADER IN THIS HIGH GROWTH SPACE.
The study has identified many ways in which Intelligent Mobility can bring benefits to the traveller
and players investing in this space. It has also described possible trajectories on how this emerging
market can develop in the UK. Intelligent Mobility is also expected to become a valuable export
market for the UK. To capture the value identified in this study investments and interventions should
be targeted in three areas:
Research and Development
Six Core Capabilities have been identified as priority development areas to position the UK as a
global leader in Intelligent Mobility. Across these capabilities there are key development needs
and actions to focus targeted investments and policy interventions on.
Experimentation
and Business
Model Innovation:
experimentation, technical
demonstration and
validation, business model
innovation, and real-life
learnings in important
application areas of
Intelligent Mobility.
Policy and Legislation:
putting in place key
policy measures and
government initiatives that
will enhance and enable
the success of Intelligent
Mobility.
Research and
Development: in key
technical capability areas
ensuring the UK can be a
world leader in IP critical
to the Intelligent Mobility
supply chain.
Capability Development Needs Actions
HMI &
Interaction
Design
Need for continuous learning rather
than sudden step change.
Design choices that incentivise
optimal travel behaviour on a
system-level.
HMI aiding transition towards fully
autonomous vehicles.
Focus on establishing UK as brand
to attract key talent.
Foster collaborative environments
that bring industry talent together.
Establish centres of excellence.
Traveller
Behaviour &
Psychology
Better understanding of crowd
dynamics and response to incentives
(elasticities).
Tools to understand implications for
business propositions.
Target funding for UK demonstration
projects (mitigating first mover
disadvantages).
Creation of a common knowledge
base of traveller behaviour insights.
Connectivity
& Networks
Reliable and ubiquitous connectivity
(moving and stationary).
Compatibility across technologies
(e.g. cellular, satellite, Wi-Fi, and
NFC).
Demonstrate the business case
for infrastructure investments in
connectivity.
Opportunity to merge existing
technologies into innovative new
systems.
Increase funding and support for
demonstrators from central and
local government.
Focus on patenting and protecting
key developments and develop
models and frameworks for securing
IP for UK industry.
Localisation
& Mapping
Predictable and affordable high
precision positioning and tracking
down to centimetres, both indoors
and outdoors (acknowledging the
current European Galileo project).
Aim to develop high resilience and
reliability (e.g. weather and low
connectivity).
Need for a common UK map
containing highly detailed 3D
mapping data for virtual validation
of technology performance.
Investment should be focused
at university level with a view to
spinning out opportunities.
Encourage collaboration for location-
based data exchanges between
private sector suppliers (e.g. mobile
phone data, fleet management,
and logistics) and public sector
infrastructure operators.
Data Privacy
& Security
Focus on V2V and V2I
communications cyber security as
well as system-level security (e.g.
traffic control centres).
Continue investments in existing
UK centres of excellence in cyber
security.
Provide guidelines and standards for
protecting individual private data.
Ensure travellers right to anonymity
where appropriate.
Analytics
& Simulation
Support skills development and
where possible protect IP in this
space.
Understand transferability of
algorithms across sectors and use
cases.
Consider establishing centre of
excellence.
Develop relevant skills throughout
education.
2 31
Opp:
Six Core
Capabilities
(Source: Expert
Panel Workshops,
Expert Interviews,
and CVA Analysis).
Opp:
The Transport
Systems
Catapult
‘Manchester
Table’ helps
decision-
makers invest
in Intelligent
Mobility.
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Investing in Intelligent Mobility (Recommendations)
Experimentation and Business Model Innovation
Developments in Intelligent Mobility depend
not only on technical innovation but also on
innovations in business models and user
experiences.
Gathering real-life learnings on traveller
behaviours through structured experiments
is considered vital to achieve an evidence-
based approach to innovation. Experimentation
is already a widely used approach by many,
including in areas such as policy development
[20]. In doing so, Intelligent Mobility solutions
can be prototyped and developed with real users
to understand what drives success based upon
validated and falsified hypotheses. As such,
experimentation differs from pilots and technical
demonstrations, where expectations are more
focused on successful validation rather than
allowing failure for the sake of learning. The
entrepreneurial approach of “fail fast and fail
early” has demonstrated that it encourages
learning and accelerates innovation.
Looking across the four Transformational
Themes there are some key considerations
for experimentation. For the Access theme,
experimentation will naturally focus on
business model innovation and personalised
customer experience. It is fundamental
to the success of new Intelligent Mobility
solutions (e.g. for Progressive Metropolites
and Dependent Passengers). The Demand
and Supply theme is heavily dependent on
influencing traveller behaviours and gaining
a fundamental understanding through in-
market experiments will be key. Whilst it is
relatively easy to isolate sections of roads for
experimentation there are regulatory barriers
to overcome when considering options such as
dynamic pricing in public transport. Automation
is the most technical theme and testing and
learnings on real roads will be a critical next
development step in order to make autonomous
drive technology market ready. Additionally,
understanding how travellers behave in
semi-autonomous vehicles and translating
that into interior design features require an
element of experimental learning. In relation
to the Integration theme the level and depth of
integration that travellers’ desire needs to be
established in experiments, especially when
combined with other themes.
Funding and supporting Intelligent
Mobility therefore needs to cover in-market
experimentation on top of traditional R&D.
‘Traditional funding’ aligns to an overall roadmap
and targets specific technical incremental
developments to increase technology readiness
levels. ‘Innovation Funding’ is different and
focuses on real-life learning activities rather
than discrete technology demonstrators –
supporting iterative scaling of investment,
market, and business readiness levels. This type
of funding also focuses on removing barriers for
experimentation, ensures national dissemination
of learnings, and encourages local authorities
to procure for innovation (i.e. the Value Space)
rather than the finished product or service.
Ultimately it comes down to a difference in the
measurable unit of progress – with the former
being ‘execution’ and the latter being ‘learning’
whilst scaling towards a successful business.
Policy, Legislation and Regulation
In particular, open data and multi-modal
ticketing represent two fundamental enablers
that government interventions could help to
accelerate.
Open Data
Throughout this study, data has been shown
to be a fundamental and key enabler for the
majority of Intelligent Mobility solutions. Opening
up transport data is one way of encouraging
data-driven innovation with positive results from
a traveller perspective. Currently, TfL
25
are
seen as the ‘champions’ of open data. Through
the publication of static/live transport data, and
the provision of APIs for developers they have
stimulated a wealth of innovation with many
different apps presenting this data to travellers.
This has enabled travellers in London to use
the network with increased confidence and
reassurance and has brought significant benefits
to multi-modal travel information.
There is a need to further open data and
there is a significant lack of live data beyond
TfL that is holding back progress in journey
information (e.g. from rail operators or local
authorities). As the Internet of Things revolution
and crowd sourcing continue to grow the volume
and granularity of data, information will grow
exponentially.
Currently, the value of data and commercial
interests to protect it are key barriers to
overcome. Many of those who generate data are
keeping it closed, with a view to monetise it in
the future. Additionally, there is a view that open
data providers should be entitled to some of the
behavioural insights generated by the users of
their data (e.g. which choices travellers make,
under which circumstances). This could include
gaining access to processed and analysed
traveller behaviour insights of their transport
users.
These issues could be tackled by creating
a carefully designed and managed ‘transport
data exchange’. Such a platform would define
licencing permissions and reward mechanisms
– establishing a market place for transport
information including both open data and
transport data that companies want to monetise
(not personal data). It would also allow the
development of service layers with the provision
of analysed and enriched data that help achieve
transport systems benefits (e.g. preferred traffic
routing for flow optimisation and supply of key
traveller behaviour insights). Some players may
decide to provide their piece of the ‘data puzzle’
for free in return for access to some of the
learnings that are being generated.
Such an exchange would encourage new mobility
entrants to participate and allow transport
operators to benefit from the learning and
insights of the development community.
Multi-modal Ticketing
Another key barrier to overcome is to establish
a means for travellers to have more integrated
end-to-end and multi-modal journeys – including
the means to seamlessly and spontaneously
change between the different modes of transport
available. This not only benefits existing multi-
modal travellers but will encourage increased
adoption and provision of new and alternative
transport modes (e.g. city bikes). The key to
delivering this is integrated ticketing that spans
across transport operators and geographical
boundaries. Whilst there is already a shared
vision of an ‘Oyster card’ equivalent integrated
ticketing system across the UK, there is a serious
need to not only implement an appropriate
payment mechanism but also to design a multi-
modal ticketing interchange that allows all
possible mobility players to participate (including
new modes such as shared car, taxi or bike) and
enables future developments, such as dynamic
timetabling and pricing.
Two interventions should be considered:
Mandating Interoperable Payment and
Ticketing Standards: for example, smart
card payments or universal APIs that allow
travellers to purchase multi-modal tickets
during journeys with route components from
any service provider.
Creating a Central Ticketing Platform and
Multi-Modal Marketplace: for example, where
transport operators provide live times and
capacity into a common platform. This could
eventually extend to establish a transport
operator ‘bid system’ for end-to-end journeys
or portions of it. This would provide travellers
with the freedom to switch between transport
operators – for example allowing travellers on
overcrowded trains to get off and complete the
last portion of their journey on a dynamically
timetabled bus.
Such a ticketing interchange could deliver a step
change in multi-modal travel experience and
deliver system-level efficiencies.
EXPERIMENTATION DIFFERS FROM
PILOTS AND DEMONSTRATIONS, WHERE
EXPECTATIONS ARE MORE FOCUSED ON
SUCCESSFUL VALIDATION RATHER THAN
ALLOWING FAILURE FOR THE SAKE OF
LEARNING.
ESTABLISH A MARKET PLACE FOR
TRANSPORT INFORMATION INCLUDING
BOTH OPEN AND CLOSED DATA THAT
COMPANIES WANT TO MONETISE.
DESIGN A MULTI-MODAL TICKETING
INTERCHANGE THAT ALLOWS ALL
MOBILITY PLAYERS TO PARTICIPATE.
Whilst many innovations in Intelligent Mobility will emerge naturally from market forces because
of the significant value available, there are a number of actions that the UK stakeholders might
consider. As mentioned several times throughout the report, there are fundamental enablers to
Intelligent Mobility:
Standardisation: establishing standards in a
number of emerging areas such as V2V and
V2I communications.
Multi-Modal Journey KPIs: progress against
meeting the identified traveller needs in this
study should
be measured and incentivised by
establishing multi-modal journey KPIs across
transport systems.
Connectivity: providing reliable and ubiquitous
connectivity.
Open Data: encouraging and even mandating
open data.
Multi-Modal Ticketing: facilitating multi-
modal ticketing and integration between
different transport operators.
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Investing in Intelligent Mobility (Recommendations)
Methodology
Conclusions and Stakeholder Implications
The UK has the opportunity to take advantage of the emerging Intelligent Mobility market, driving significant
value to travellers, but also establishing a strong domestic and export industry. Key findings include:
THIS REPORT IS BASED ON A RIGOROUS METHODOLOGY DESIGNED TO
GIVE AN OBJECTIVE ASSESSMENT OF TRAVELLER NEEDS, PAIN-POINTS,
AND ATTITUDES AS WELL AS KEY CAPABILITY NEEDS AND COMPARATIVE
UK POSITIONING.
Fundamentally, the methodology is designed
to derive investment priorities by understanding
the linkages between Intelligent Mobility
capabilities and the impact these will ultimately
have on meeting traveller needs and addressing
pain-points.
The analysis in the study relied on data
and insights derived as follows:
Market Research: Traveller needs, pain-
points, and attitudes from the traveller
research.
Expert Interviews: Transformational
Themes for Intelligent Mobility alongside
UK Capabilities were determined through
interviews with experts and stakeholders
in this space.
Expert Panel: Analysis and development of
conclusions were shaped by an Expert Panel.
Desktop Research: Literature reviews were
also conducted to add depth to the study.
Analysis of the research outputs followed
a structured process to determine investment
prioritisation and other recommendations.
Throughout this analysis process, detailed
analytical frameworks were used to answer
specific questions (e.g. to prioritise capabilities
for Intelligent Mobility). An Expert Panel
provided quality assurance through regular
review of findings and input to conclusions and
recommendations being made. Just like the
Expert Interviews, the Expert Panel was made
up of a number of representatives from across
academia, industry and government.
Stakeholder Imperatives
Central
Government
• Fund research and development activities and skills development in the six Core Capabilities for Intelligent Mobility.
• Focus on filling the gaps in provision of reliable, fast, and ubiquitous connectivity.
• Establish a data exchange mechanism and mandate open data where appropriate (e.g. in rail franchises).
• Create a central ticketing platform and multi-modal marketplace and encourage multi-modal integration to
support expected advancements in dynamic pricing and timetabling.
• Foster cross-industry collaboration to unlock value from Intelligent Mobility.
Local
Government
• Encourage and support new business and participate in experimentation
with new Intelligent Mobility solutions in private and public transport.
• Shift focus towards procuring against challenges rather than procuring for solutions.
• Push for integration and innovation in public transport (e.g. demand responsive services).
Infrastructure
Operators
• Focus on measuring progress against traveller needs and end-to-end journey experience across transport modes.
• Understand the extent to which potential investments in Intelligent Mobility can give better value for money than
traditional infrastructure investments.
• Encourage innovation by opening up data streams.
• Set up mechanisms to gather learnings and influence traveller behaviours based on data insights.
Transport
Operators
• Understand desired position in emerging Intelligent Mobility ecosystems, focusing on multi-modal transport and
collaboration with new digital integrators.
Collaborate across the industry, by opening data and creating seamless end-to-end journeys (focus ticketing, pricing,
integrated information, commercial models).
• Actively participate and collaborate with digital start-ups, not least by opening up commercially non-sensitive data
and start generating real-time data where missing (and consider how to monetise valuable data).
• Reduce complexity of planning by increasing availability of information (in particular expected arrival time, expected
level of personal space) and include every element of the journey (car parking, etc.)
Automotive
Industry
• Continue developing autonomous drive technology and focus on market readiness, consider target segments.
• Produce vehicles that are suitable for a variety of new mobility modes, such as autonomous taxis or dynamically
timetabled and routed minibuses.
• Consider the role of the connected vehicle in an integrated end-to-end mobility world.
• Establish a presence in new areas of the mobility value chain beyond vehicles sales, finance and service.
• Develop strategy for data generation and utilisation.
• Take a leading position in defining and implementing standards in V2V
3
and V2I
4
communications.
Rail Industry
• Focus on traveller experience on multi-modal journeys, in particular integration of ‘new’ modes (bike share, car
share, taxi apps, autonomous mobility) and speed & reliability of interchange.
• Focus on enabling productive time: connectivity, seamless interchange, dynamic timetabling.
• Focus on accessibility of rail: ‘easy to get to’ / first&last mile.
• Enable digital lifestyles (e.g. journey experience personalisation) and engage travellers with transport choices.
Transport
Systems
Suppliers
• Prioritise data generation and integration from all possible sources.
• Develop desired position in a world that focuses more on decentralisation
than central ‘command and control’ traffic systems.
• Consider collaboration and integration with new mobility providers and focus
on how to deliver on end-to-end journey experiences.
Academia
• Prioritise traveller behaviour understanding as a core discipline to develop expertise in.
• Focus on skills gaps in algorithms and analytics to educate tomorrow’s Data Scientists.
• Ensure technical degree programmes include a sufficient amount of business and commercial understanding.
Start-ups
• There is a significant opportunity for innovative and agile new entrants in Intelligent Mobility.
Build strong relationships with key players (e.g. automotive OEMs, transport operators, and local authorities)
and understand the different speeds at which these players move.
The Intelligent Mobility market has a large potential
market size with a significant value opportunity in the
UK alone.
There is strong traveller ‘pull’ for innovations in
mobility, including the large Progressive Metropolite
and Default Motorist segments.
Engaging travellers with modal choice and enabling
better end-to-end multi-modal journeys need to
become key objectives
Four key Transformational Themes in Intelligent
Mobility have been identified, focusing on access,
integration, demand/supply management and
automation.
Many of these require capabilities from the digital
and adjacent sectors, rather than the traditional
transport space.
The UK is well positioned from a skills, experience
and capability perspective to realise value from
this market.
There is a healthy appetite for innovation and
experimentation in the UK which needs to be
fostered and could become a core strength, along
with a collaborative culture between different
players in mobility.
To bring these to market successfully, a number of
key interventions are required, specifically focusing
on open data and multi-modal integration.
The transport landscape is, however, changing
rapidly and to drive UK global leadership in Intelligent
Mobility there are a number of imperatives for different
stakeholders as shown below:
Opp:Intelligent
Mobility imperatives
for the UK (Source:
Expert Workshops,
Expert Interviews,
and CVA Analysis).
Below:
Gathering insights
during one of the
study’s Expert
Panel workshops.
53
Traveller Needs and UK Capability Study
52
Methodology
Investing in Intelligent Mobility (Recommendations)
Expert Interviews
100 expert interviews were conducted with the aim to understand:
The requirements to
enable the development
paths within the themes.
Transformational Themes
for Intelligent Mobility
that are expected between
now and 2030.
The types of experts selected for interview were representative of different stakeholder groups
across the Intelligent Mobility spectrum and included academia, industry and government – along
with special interest groups and social scientists. For each type of expert a specific interview
guide was developed, allowing for both structured understanding of the space and enough loose
conversation to discover new learnings.
Market Research
Typical market research exercises have samples of 1,000-2,000 respondents. This study employed
a large scale market research exercise, which comprised of a UK-representative sample size of
10,000 travellers. This provided high confidence in the results and allowed analysis of a number
of sub-groups (e.g. travellers using specific transport modes, particular geographies, or specific
traveller types).
Core to the research design was the need
to understand:
The fundamental attributes that are
important in a traveller’s decision on how to
travel from A to B (including e.g. cost, time
taken, comfort, privacy, and productive time).
The actual pain-points experienced once a
specific transport mode was chosen (which
Intelligent Mobility might be able to address).
Traveller needs, pain-points, and attitudes –
were assessed using market research. Conjoint
modelling was used to determine the monetary
value that travellers put on having their
fundamental journey attributes met and their
pain-points addressed. Using the Hierarchy of
Traveller Needs framework (Enabling Lifestyles,
Enhancing end-to-end journeys, and Removing
Pain-Points), the research data was analysed
on a number of dimensions (e.g. traveller types,
mobility lifestyles, mobility situations, and
journey types).
This resulted in a set of 12 key challenges.
The size of the Value Pools unlocked by
addressing these challenges was then modelled
based on the conjoint data.
To ensure that the findings can be
extrapolated to travel in the UK as a whole, the
questionnaire relied on a journey diary exercise
from which one random journey was selected
for each respondent. All analysis was weighted
towards the National Travel Survey to ensure
full representation of travel in the UK.
The dataset itself represents a core asset
for the UK and allows for deep exploration of
traveller needs, pain-points, and attitudes in
much greater detail than possible to summarise
in this report.
Moving forward, such analysis can be
performed on the dataset to answer specific
questions or derive specific insights that
different stakeholders may have.
The UK’s comparative
position and potential to
drive further development
in Intelligent Mobility.
2 31
Literature Review
As part of an extensive desktop research conducted in the study, a number of reports were reviewed
in order to compile an appropriate overview of existing insights. This included, for example:
Travelling in a Changing World: Key Findings report from the ‘Ideas in Transit’ (2012).
The COMPASS Project’s ‘D3.2 key trends and emerging traveller needs’ (2012).
The AECOM Report on ‘Integrated Passenger Information: Delivering the Rail End to End
Journey’ (2010).
Several research documents referenced in the Transport Direct research compendium
and research projects, reports, and papers from CTS at UWE.
McKinsey’s report on ‘Open data: Unlocking innovation and performance with liquid
information’ (2013).
Arthur D. Little’s reports on ‘the Future of Urban Mobility 2.0: Imperatives to shape
extended mobility ecosystems of tomorrow’ (2004) and ‘Creating a Better Journey’ (2013).
The Market Analysis of the Intelligent Transport Systems and Services (ITSS) Sector (2008).
KPMG’s reports on ‘self-driving cars: the next revolution’ (2011) and ‘self-driving cars:
are we ready?’ (2013).
Roland Berger’s report on ‘SHARED MOBILITY: How new businesses are rewriting the rules
of the private transportation game’ (2014).
Institution of Mechanical Engineers’ report on Intelligent Transport: Intelligent Society (2012).
The European Commission’s report on ‘Intelligent Transport Systems in Action’ (2011).
‘The Intelligent Transport Systems (ITS) for sustainable mobility’ report by the United Nation’s
Economic Commission for Europe (2012).
Transport Focus’ (former Passenger Focus) reports on ‘bus passenger views on value for
money’ (2014), ‘transport integration in Scotland – what passengers want’ (2014), and
‘the Future of Transport’ (2012).
Chartered Institute of Logistics and Transport report on ‘Logistics and transport: VISION
2035’ (2011).
DfT’s ‘Door to Door: a strategy for improving sustainable transport integration’ (2013).
The European Automotive Partners Research Association Future Road Vehicle Research
(FURORE) R&D Technology Roadmap (2005).
Ricardo’s reports on ‘UK Automotive Industry in 2020: Focusing on Supply Chain and Skills
& Technology’ (2006) and ‘Automotive technologies: the UK’s current capability’ (2010).
Below:
With a focus on
the ‘users of
mobility systems’,
traveller
needs and UK
capabilities have
been explored in
this study.
5554
Traveller Needs and UK Capability Study
Methodology
Methodology
Acknowledgements
FINALLY, WE WOULD LIKE TO THANK A FEW PEOPLE AND ORGANISATIONS
SPECIFICALLY.
We have appreciated the efforts of Alan Nettleton, Charles Carter, George Aitken and Yusuf
Che-Noh during the interviews. Thanks to John Austin, Gauthier Vernier, George Aitken and Jamie
Chan-Pensley for proof-reading. Jenny Powles, Nick Spickernell, Peter Hollinswaite, Stephen Hart,
and Helen Faber for their everlasting support to make this project successful. We are grateful for
the thought leadership in Human-Centred Design and Human Factors that Jamie Chan-Pensley has
provided the project team with. Finally, we would like thank Jerry Hardcastle for his support in his
previous Chairmanship of the Automotive Council Technology Group.
Project Steering Board
Karla Jakeman, Innovate UK
James Turner, Innovate UK
Nick Jones, Innovate UK
Ian Yarnold, Department for Transport
Claire Rees, Department for Transport
Ashley Roberts, Department for Business,
Innovation and Skills
Jon Maytom, Department for Business,
Innovation and Skills
Industry Review Group
Maurizio Pilu, Digital Catapult
Dan Hill and John Lynch, Future Cities
Catapult
Kieran Arnold, Satellite Applications Catapult
John Miles, Arup
Suzie Hunter and Carl Sanderson, BMW
David Skipp and Graham Hoare, Ford
Helen Finch, Antonis Michailidis and
Anthony Harper, Jaguar Land Rover
Chris Reeves and George Gillespie, MIRA
David Moss and Simon Fraser, Nissan
Name Organisation
Hazel Collier BVRLA
Andree Woodcock Coventry University
David Skipp Ford
John Stanger Ford
John Lynch Future Cities Catapult
James Hardy Future Railway, RSSB
Nicolas Zurlinden Heathrow Pods
Sukhvinder Ubhi Highways England
Paul Blakeman Imtech Traffic & Infra UK and
Ireland
Antonis Michailidis Jaguar Land Rover
Helen Finch Jaguar Land Rover
Mike Schofield Mike Schofield & Associates
Anthony Baxendale MIRA
Santino Pietrosanti Network Rail
Sam Churchill Network Rail
James Baker Nissan
Jordy Van Kuijk Red Ninja
Colin Ferguson Route Monkey
Kate Armitage Route Monkey
Ashweeni Beeharee Satellite Applications Catapult
Kieran Arnold Satellite Applications Catapult
Bryan Matthews University of Leeds
Erik Thomasson University of Leeds
Adele Wearing University of Leicester
Maria Teresa Raventos University of Leicester
Lyudmila Mihaylova University of Sheffield
Daniel Chick Zipabout
Expert Panel
Name Organisation
Rahim Tafazolli 5G Innovations Centre,
University of Surrey
Michael Ward Advanced Forming Research
Centre
Alexander Jan Arup
Alex Burrows Atkins
John McCarthy Atkins
Philip Woods BAE Systems
Alastair Scott BMW
Carl Sanderson BMW
James Cover BMW
Richard March BMW
Harry Scrope Brompton Dock
Adrian Vinsome Cenex
Graham Hillier Centre for Process Innovation
Andy Pitt Crossrail
Daren Wood DeltaRail
Michael Hurwitz Department for Transport
Clive Burrows FirstGroup
David Skipp Ford
Erica Klampfl Ford
Pim van der Jagt Ford
Richard Brown Ford
Graham Hoare Ford
James Hardy Future Railway, RSSB
Richard Evans Go-Ahead Group PLC
Robin Gissing Heathrow
Chris Featherstone Heathrow Pod
Eddie Obeng Henley Business School /
Pentacle Ltd
Liam Day Highways England
Manjeet Kumari-Lal Highways England
Meg Downing Highways England
Daniel Ruiz Imtech
Marc Roberts Imtech
David Elson Innovate UK
Dan Mercer Iridium Communications
Mike Jacklin ITO World
Peter Miller ITO World
Alexandros
Mouzakitis
Jaguar Land Rover
Chris Holmes Jaguar Land Rover
Mick Cameron Jaguar Land Rover
Antony Harper Jaguar Land Rover
Allan Jones JTP Rail
Rob Furlong Knowledge Transfer
Networks
Kevin Hightower Lockheed Martin
Tracy Ross Loughborough University
Mark Ireland Manufacturing Technology
Centre
Francis McKinney McKinney Associates
Anthony Townsend New York University
James Baker Nissan
Jasdeep Sawhney Nissan
Mark Pagett Nissan
Expert Interviewees
Name Organisation
Richard Picton Nissan
Robert Farmer Nissan
Simon Fraser Nissan
Evtim Peytchev Nottingham Trent University
Sarah Sharples Nottingham University
Freddie Talberg PIE Mapping
Paul Priestman PriestmanGoode
Richard Westgarth QinetiQ
Xavier Quayzin QinetiQ
Guy Woodroffe Rail Delivery Group
David Keene RDM Group
Colin Ferguson Route Monkey
Simon McBeth Sanef ITS Operations
Kieran Arnold Satellite Applications Catapult
Tim Sherwood Satellite Applications Catapult
Nick Burrett SES Satellites
Stephen Skippon Shell
Paul Brookes Siemens
David Wong SMMT
Kris Beuret Social Research Associates
Matthew Clark Steer Davies Gleave
Tony Duckenfield Steer Davies Gleave
Allan Williams Sustrans
Upendra
Dharmadhikary
Tech Mahindra
Nick Jones Technology Strategy Board
Mike Short Telefonica
Johanna Zmud Texas A&M Transportation
Institute
Douglas Gilmoure TomTom
Chris Douglas Transport & Travel Research
Ann Frye Transport Associates'
Network
Peter Warman Transport Associates'
Network
Andrew Ulph Transport for London
Glynn Barton Transport for London
Kuldeep Gharatya Transport for London
Leon Daniels Transport for London
Rosie Trew Transport for London
Vernon Everitt Transport for London
Michael Hewitson TransportFocus
Caitlin Cottrill University of Aberdeen
Greg Marsden University of Leeds
Jonathan Paragreen University of Sheffield
Friederike Ziegler University of Sheffield
Lyudmila Mihaylova University of Sheffield
Nick Hounsell University of Southampton
Martin Phillips Virgin Trains
Claire Lewis Visteon
Richard Dashwood Warwick Manufacturing
Group
Paul Jennings Warwick Manufacturing
Group
David Jones Xerox
Daniel Chick Zipabout
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Traveller Needs and UK Capability Study
Acknowledgements
Acknowledgements
References Endnotes
Note: Where no sources are provided in the report, this indicates findings from the traveller research
or expert interviews performed as part of this study.
Additional information about text in the report (as denoted by superscript numbers after the text)
can be found below.
Ref No Source
[1]
Transport Systems Catapult, “Market Breakdown,” [Online]. Available: https://ts.catapult.org.uk/
market-breakdown. [Accessed 22 07 2015].
[2]
Automotive Council UK, “Intelligent Mobility: a National Need?,” 2011.
[3]
EY, “The Big Data Backlash,” 2013.
[4]
K. Stokes, E. Clarence, L. Anderson and A. Rinne, “Making Sense of the Collaborative Economy,”
NESTA, 2014.
[5]
D. Wosskow, “Unlocking the sharing economy,” 2014.
[6]
Statista, “Share of mobile phone users that use a smartphone in the United Kingdom from
2010 to 2017,” [Online]. Available: http://www.statista.com/statistics/257051/smartphone-user-
penetration-in-the-uk/. [Accessed 22 7 2015].
[7]
Network Rail, “Performance,” [Online]. Available: http://www.networkrail.co.uk/about/
performance/. [Accessed 22 7 2015].
[8]
Department for Transport, “Road Traffic Forecasts 2015,” 2015.
[9]
Centre for Retail Research, “Online Retailing: Britain, Europe, US and Canada 2015,” [Online].
Available: http://www.retailresearch.org/onlineretailing.php. [Accessed 27 7 2015].
[10]
innovITS, “Impact Study on Intelligent Mobility,” 2013.
[11]
The Telegraph, “Motorists spend 106 days looking for parking spots,” [Online]. Available: http://
www.telegraph.co.uk/motoring/news/10082461/Motorists-spend-106-days-looking-for-parking-
spots.html. [Accessed 22 7 2015].
[12]
Office for National Statistics, “Family Spending, 2014 Edition,” [Online]. Available: http://www.ons.
gov.uk/ons/rel/family-spending/family-spending/2014-edition/index.html. [Accessed 27 7 2015].
[13]
McKinsey&Company, “Mobility of the Future,” 2012.
[14]
M. J. Calvin Chan, “Introduction to WAP,” [Online]. Available: http://webdocs.cs.ualberta.
ca/~zaiane/courses/cmput499/work/presentations/wap/. [Accessed 23 7 2015].
[15]
Mashable, “The Touching History of Touchscreen Tech,” [Online]. Available: http://mashable.
com/2012/11/09/touchscreen-history/. [Accessed 23 7 2015].
[16]
The Telegraph, “The history of BlackBerry,” [Online]. Available: http://www.telegraph.co.uk/
technology/blackberry/11347347/The-history-of-BlackBerry-in-pictures.html. [Accessed 23 7 2015].
[17]
Encyclopædia Britannica, “Palm OS (Operating System),” [Online]. Available: http://www.
britannica.com/technology/Palm-OS. [Accessed 23 7 2015].
[18]
I. Ceapa, C. Smith and L. Capra, “Avoiding the Crowds: Understanding Tube Station,” in ACM
SIGKDD Intl. Workshop on Urban Computing, 2012.
[19]
Google Plus, “Google Self-Driving Car Project,” [Online]. Available: https://plus.google.
com/+SelfDrivingCar/posts/iMHEMH9crJb. [Accessed 23 7 2015].
[20] Ofcom, “Using experiments in consumer research,” 2010.
[21] MIRA, “Intelligent Mobility”.
[22] Schneider Electric, ARUP, The Climate Group, “Urban Mobility in the Smart City Age,” 2014.
[23] Financial Times, “Bus and train operators wary of jumping on driverless bandwagon,” 2015.
Ref No Source
1
Travellers encompass all types of travel including local and long distance journeys across all
modes of transport
2 Intellectual Property
3 Vehicle to Vehicle
4 Vehicle to Infrastructure
5 CVA prior research
6 Original Equipment Manufacturers
7 Split Cycle Offset Optimisation Technique
8 Wireless Application Protocol
9 Global Navigation Satellite System
10 Simultaneous Localisation and Mapping
11 Central Processing Unit
12 Fuel Cell Electric Vehicle
13 Battery Electric Vehicle
14 Plug-in Hybrid Electric Vehicle
15 Internal Combustion Engine
16 Artificial Intelligence
17 Worldwide Interoperability for Microwave Access
18 Near Field Communication
19 Software Defined Networks
20 Technology Readiness Level
21 Small and Medium-sized Enterprises
22 Centre for Advanced Spatial Analysis
23 Human Factors Research Group
24 Choice Modelling Centre
25 Transport for London
26 Vehicle to Vehicle
27 Vehicle to Infrastructure
59
Traveller Needs and UK Capability Study
58
Endnotes
References
Your Thoughts...
61
Traveller Needs and UK Capability Study
60
Your Thoughts...
Your Thoughts...
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