Smart Cities UK 2018- Stream 3

1. Stream 3 - Citizen
Engagement

2. Chair's Welcome - Speaker: CEO
and Cofounder Benjamin Snow,
Civocracy

3. Designing a city for smart citizens -
Speaker: Eleanor Wright
Project Partner Aralia System’s

4. #SmartSecurity & #SmarterStreets
Two Case studies
Designing a city for smart citizens

5. Case study 1:
Our focus – A safer city
Smart Security for Public Safety
Intelligent Security + People powered
decisions = Smart Security

6. About Aralia Systems
Founded 1995
Full screen content video analytics
Physical Security Information
Management

7. About D4SC
Founded 2013 in London.
Award winning urban innovation company.
Patent-pending system using Big Data with active citizen
participation
www.D4SC.io

8. Smart Security = Top down + Bottom up

9. A ‘Smart Security’ User Story
“As a city authority I'd like to extract footage of road accidents. Get people to
confirm”

11. ANY SMARTER SAFE CITY
PROBLEM
A. How to make cities safer, save lives by
engaging with citizens, cities and business?
B. How to apply human + sensor intelligence to
improve safety to create resilience for a city?
C. How to analyse and predict city’s needs to
change behaviours to make any global safe
smart city?

12. Currently this is a hard problem
to solve…
..as Citizens,
Government and
Service provider don’t
work together to
improve the city
infrastructure in real-
time when its being
actively used by
citizens.
ANY CITY PROBLEM
Copyright: Design For Social Change Ltd
www.d4sc.io

13. Changify + Aralia is a tailor-made fast
easy citizen engagement platform for…
SOLUTION FOR SMARTER SAFE CITY

14. 2. HOW Bringing together Big + Little data*
* Realtime crowdsourced opted-in social insights
+ ARALIA

15. HOW: CHANGIFY + ARALIA SOLUTION
Copyright: Design For Social Change Ltd
www.d4sc.io

16. 3. SOLUTION: OUR
INNOVATION
Aggregate
Data from
multiple sources
(Big + Little data)
Aggregate
Predict emergent needs*
*patent pending algorithm
Prioritise Feedback
loops
Together with
people participation
to create transparency

17. BUSINESS CASE: B2B model API calls with job prioritisa
Beijing
21,516,000
CALL
CENTRE
DIGITAL
CHINA
+ D4SC
CHANGIFY
LOW HIGH
HIGH
LOW
Service Cost
ONE TO
ONE
INTERVIEW
Service Quality
BESPOKE
SOLUTIONS/
ISSUE
ARALIA

18. PROVEN
Award- winning UK tech
MARKET ADOPTION
Award winning UK companies with expansion in SE Asia.
PARTNERSHIPS
Global smartcity integrators
GLOBAL STANDARDS
Author smart city PAS
Security: ONVIF

19. We make it easy:
1. Spot, Snap, Swipe to
vote
2. Prioritise the change
3. Verify with feedback
loop
Copyright: Design For Social Change Ltd
www.d4sc.io

20. 14. SOLUTION PROPOSITION -
OPPORTUNITY
Copyright: Design For Social Change Ltd
www.d4sc.io
Copyright: Design For Social Change Ltd
www.d4sc.io

21. Case study 2:
Our focus – Safer Streets
Smart Citizens for Safer Roads
#SmarterStreets with Amey

39. Intelligent Security + People powered decisions = Smart Security
Priya Prakash
CEO
Design for Social Change
Priya.prakash@design4socialchange.com
Thank you
+
Eleanor Wright
Head of Market development
ARALIA SYSTEMS
eleanor.wright@aralia.co.uk

40. Addressing Congestion in the Smart
City - Speaker: Dan Clarke, Smart
Cambridge Programme Manager,
Connecting Cambridgeshire

42. Collaboration

43. Energy
Air Quality Social Care
Health
Quality of Life
Transport
Transport as a ‘Smart City’ building block
Economy

44. The mobility challenge

45. Jobs
Until 2031
+ 44,000 Jobs
£36,000
+35,0000
GVA per
capita
Homes
Greater Cambridge -
Growth

46. The Key Challenge
?
?
?
£41,000
Vehicle reduction: a reduction in the
number of vehicles in the city
(absorbing the impact of Cambridge’s
growth and additionally making a 10 to
15% reduction in 2011 numbers

47. Addressing the challenge
• Create – an evidence base – Data
• Really understand behaviours
• Harness new technology and
emerging mobility models
• Infrastructure Investment
• Demand Management – Road
Pricing etc
• Public transport system which
gives travellers what they want

48. Future Funding Strategy
Autonomous vehicles (AVs)
Mobility as a Service (MaaS)
Smart logistics
IoT and connectivity transforming services
Unleashing the power of data
Transforming place

49. Short Term – 1-2% modal shift
Behaviour Change
• Really understanding decisions travellers make – Big
Conversation
• Using information to nudge behaviours
• Better, more reliable real time information
Creating an environment for Innovation
• Open Data
• Open to experiment
• Network of collaborators

50. Examples – Digital Wayfinding

51. Example – Variable Message Signs
Car park queue prediction +
Journey Time = Actual Travel
Time
V’s
Park and Ride travel time

52. Medium Term – 5-10% modal
shift
• Mobility as a Service - Better than the public car
• Autonomous Public Transport – Supporting the
existing public transport system
• New logistics models
• Future signals infrastructure – prioritise sustainable
modes
• Demand Responsive Transport and Car Share

53. Autonomous Vehicles – Why?
• Initially re-inforce the public transport network and
to create last mile links
• On-demand, out of hours
• More flexibility
• Potential for rural transport – hub and spoke model
• Eventually lower cost
• Dispersal system

54. Autonomous Mini Bus

55. Cambridge North
Central Station
Whittlesford Parkway
Waterbeach
Madingley P&R
N/Mkt P&R

56. Challenges
• User experience
•Acceptance of no-driver
•Safety out of hours
•Integration into wider transport system
• Managing expectation
• Business case
• Complex environment

57. Mobility as a service
• Understand what you want?
• City Model – City led, Market led – combination
• Creating a market - putting in place the building
blocks
• Smart Ticketing
• Data
• Collaboration – EEH and ‘One Cities’
• MOST IMPORTANT – understand your users

58. ZUME - Atkins
• Small scale MaaS trial in Cambridge by Atkins
• extensive commuter research to understand common
pain points; this involved the team spending time in
Cambridge carrying out face-to-face interviews, ‘ride-
alongs’ and surveys, in order to collect customer
insights.
• trial participants began their daily commute with on-
demand car-sharing – using branded vehicles provided
by a local taxi firm – from their home to a park & ride,
completing their journey via public transport and by
walking to their workplace.
• Ticketing and Payments fully integrated

59. Long Term ?%
• Autonomous Cars – Positive or Negative?
• Mass Rapid Transit – Underground proposal

60. Mass Rapid Transit

62. E- Tourism and the role it can
play on boosting the economy -
Speaker: Richard Veal, Managing
Director, New Mind tellUS

63. Smart Cities 2018
Stamford Bridge, London
Richard Veal, MD

64. Established 1999
Tourism Focus
60 Employees
About New Mind | tellUs

65. Established 1999
Tourism Focus
60 Employees
Leading Supplier of
Technology Solutions
to Tourism Sector
About New Mind | tellUs

66. > 150 UK Destinations

67. All stats courtesy of Digital Tourism Think Tank
The e-Tourism Solution

68. All stats courtesy of Digital Tourism Think Tank
The e-Tourism Solution

69. Accommodation
Attractions
ActivitiesEvents
Eateries
P.O.I.s
Nightlife
EntertainmentTransport
Shops
What are Tourism Providers?

70. >150,000 records
Created / Curated by
the local DMO
Rich / Accurate /
Relevant
Updated by the Tourism
Providers
All stats courtesy of Digital Tourism Think Tank
Only Aggregated Db of UK Tourism

71. UK Tourism Providers Database

72. Name /
Address
Type /
Category
Facilities
Gradings
/Awards
Images /
videos
Social Media
Feeds
Reviews
Geo-location
Availability/
Pricing / Offers
Openings
What data do we hold?

73. Provider Data Example 1

74. Provider Data Example 2

75. Pilot Project – Buzzin (Manchester)

76. Thank You
Richard Veal – richard@newmind.co.uk
Twitter: @newminddms

77. Real estate is getting smart: Planet
Idea's approach and experience in
Italy and Brazil- Daniele
Russolillo,Programme Manager,
Planet Idea