This document discusses smart mobility and resilience in the face of global challenges. It outlines population growth, aging populations, increasing healthcare needs, more cars on roads, increasing energy demands, and urbanization as major trends. Mobility is key to accessing facilities and supporting quality of life. The document calls for urban resilience and adapting to stresses through smart and efficient transportation infrastructure and services that facilitate interactions while reducing environmental impacts. Big data and new technologies are seen as ways to better understand urban systems and plan resilient and sustainable cities.

1. Smart Mobility for Resilience
OntheCuspofChange
Professor Samer Bagaeen FRICS MRTPI

2. Mobility describes the ability of
people and goods to move around an
area, and in doing so to access the
essential facilities, communities and
other destinations that are required
to support a decent quality of life and
a buoyant economy.
Mobility incorporates the transport
infrastructure and services that
facilitate these interactions.

3. 1. GLOBAL CHALLENGES
3
POPULATION
GROWTH,
MIGRATION,LIVING
STANDARDS AND
SCARCITY OF
RESOURCES
AGING POPULATION
By 2050, the number of people above the age
of 60 is expected to hit double from 981
million now, to 2 billion.
HEALTHCARE
By 2030, chronic diseases will account for over
37 million deaths a year in developing
countries.
MOBILITY
By 2050, there will be over 2.5 billion cars
roaming the earth, while mostly being
concentrated in urban areas.
RESOURCE SUSTAINABILITY
By 2050, energy demand will increase by 80%
due to the increase in emerging economies.
URBAN DENSITY
By 2050, 70% of the world’s population will
live in urban areas.
Copyright © 2018 Accenture All rights reserved.

4. 2. Change is coming….
Urban mobility has evolved substantially over the past fifty
years, from an early interest in catering for growing car
ownership and use through major road expansion, to the
current emphasis on reducing car use and cutting back on
road provision, encouraging sustainable travel and
promoting liveable cities with a high quality of life.

5. 5
3. Urban areas are unique

6. 4. Urban Resilience as a response
“the capacity of individuals, communities, institutions, businesses, and systems within a city to survive, adapt, and grow no
matter what kinds of chronic stresses and acute shocks they experience.”
‘The capacity of individuals, communities, institutions, businesses,
and systems within a city to survive, adapt, and grow no matter
what kinds of chronic stresses and acute shocks they experience’

7. 2TODAY
1 Mainframe 5 Big Data, Analytics, Visualization
2 Client‐Server and PCs 6 IoT and Smart Machines
3 Web 1.0 eCommerce 7 Artificial Intelligence
4 Web 2.0, Cloud, Mobile 8 Quantum Computing
5. WE ARE ALSO IN AN UNPRECEDENTED PERIOD OF
TECHNOLOGYINNOVATION

8. Landsec – 6
“If we try to focus
on everything, we
focus on nothing”
John Doerr
Legendary venture capitalist

9. 1748

13. The era of Big Data - of
increasingly vast streams of
information generated by
people and their devices -
is raising thorny questions
for city planners – more
and better ways of
representing cities

14. A smart city is an efficient city, a liveable city, as
well as an economically, socially and
environmentally sustainable city
• This vision can be realised today, using
innovative operational and information
technology, and leveraging meaningful and
reliable real-time data generated by citizens and
city infrastructure
• This change will require a new paradigm, which
looks at the planning fabric of cities in a totally
new way
• This, in turn, requires a breakthrough in how
cities, businesses, citizens and academia think
and work together

21. This kind of infrastructure delivery
is not possible everywhere…
Basic infrastructure and service
provision shortfalls faced by many
southern cities present a
challenging context for ‘smart’
solutions
Global south challenge: Are
smart cities relevant?

22. We've all heard the claims:
Sensors will eliminate traffic congestion
New mapping technologies will identify,
and help to correct, urban problems no
one could see before.
Social media and crowdsourcing will
target big and little problems, down to
which potholes to fix

23. These claims have so far failed to live
up to their hype
Yet, Big Data can help to provide a clearer picture of how cities work,
and could work better

24. The transition towards smarter
cities is about reinventing our
cities such that:
citizens are no longer considered as users, but as
key stakeholders;
technology is no longer looked at as a static asset,
but as a dynamic enabler;
business is no longer viewed as a provider, but as
a partner;

25. Challenges
▪Data quality is still poor / lack of
infrastructure
▪Difficult to engage citizens
▪Delegation to technologists may not
achieve optimal outcomes
Opportunities
▪Get the basics right
▪Appropriate collaboration
▪Technology

26. User groups
Service type Travellers (citizens and businesses) Transport operators Urban planners
Smart parking
e.g. SFpark
Improved ability to locate best
available street parking, based on
price and proximity.
Improved ability to manage street
parking, reduce congestion and
enforce fines.
Use data to plan parking
provision based on demand.
Smart ticketing
e.g. Oyster card, Suica
Easier payment for transport
services across modes.
Benefit from faster payments and
greater integration of payment
systems across modes.
Use data to plan future
infrastructure and service
provision based on demand.
Real time
journey planner
e.g. Citymapper, moovit
Ability toplanAtoB(toC)
travel in real time.
Usedatatoplanfuture
operations.
Use as a mechanism to influence
traveller behaviour and distribute
travellers across modes.
Use data to plan future
infrastructure and service
provision based on demand.
Command & control
centre
e.g. Minnesota Urban
Partnership Agreement.
Receive in-journey information
via Variable Messaging Systems
(VMS) to help manage travel
expectations and route plans.
Improved ability to actively
manage traffic and travel in
real time based on prevailing
conditions and predictive
analytics.
Use data to plan future
infrastructure based on past
travel patterns under different
conditions.

27. There is an economic case for smart cities
Important to identify the economic impact of smart
cities and align ‘smart’ solutions as an enabler for
these impacts (rather than technology being the
starting point)
Needs driven approach to ‘smartness’ crucial in the
global south, where immediate needs are vastly
different to those cities where many ‘smart’
solutions have traditionally originated

29. ‘smart’ will look
different at different
scales, geographies, and
sectors

30. Different actors have
different roles to play for
smart solutions to be
effective
Enabled governments,
private sector innovation,
civil society participation,
academic research and
upskilling the workforce
will all underpin the
effectiveness of ‘smart’
solutions

31. THE
More needs to be done to better understand the role of ‘smart cities’ in
the global south, and the role of donors in this space
Global megatrends in digital technology will be critical in shaping cities in
the coming decades, including…..
FUTUREIS

32. “SYSTEMSTHATCANSENSE,COMPREHEND,ACT& LEARN”
LEARN
Improve performance
(quality, consistency, and
accuracy) based on real
world experiences.
SENSE
Perceive the world
by acquiring and
processing images,
sounds and speech.
COMPREHEND
Analyze and understand
the information
collected by adding
meaning and insights.
ACT
Take action in the
physical world based
on comprehension and
understanding.
ARTIFICIAL INTELLIGENCE
AI has the potential to double the annual economic growth rates by 2035
AI can boost labor productivity by 40 percent by 2035
We need to be more like AI knowing that technology will only go as far as we want it to go

33. Thank you
www.samerbagaeen.com