3. Global Data Sharing Initiative
Managed access to data provided by the public and private
sector from both London and Singapore.
This first and largest of its kind data sandbox will be open to the
global data, development and innovation community from 12
April 2016.
DATA CITY | DATA NATION
www.datacitydatanation.org
sharing
closed data between
organisations
4. New Insight into Public Services and Private Products
We want to deliver insight into every aspect of city life: how public and
private services and products are delivered in London and Singapore.
We want to drive technology solutions to challenges like
improvements in public transport, lower pollution levels, safer drone
paths, cyber security etc. This will ensure that public services remain
relevant to the individual and that corporates and SME’s gain from
new data enabled solutions. E.g. – Citymapper.
In discussions with 50+ corporates in London
DATA CITY | DATA NATION
www.datacitydatanation.org
sharing
closed data between
organisations
5. Monthly Data Challenges
The data sandbox will be opened up to the data research community
and disruptive SMEs around a monthly challenge. These challenges
are:
• Transport & Mobility (April 2016);
• Safety & Security (May 2016);
• Healthcare & Wellness (June 2016);
• Construction & Energy (July 2016);
• Population (August 2016);
• Best of the Best Showcase (September 2016).
DATA CITY | DATA NATION
www.datacitydatanation.org
sharing
closed data between
organisations
6. DATA CITY | DATA NATION
www.datacitydatanation.org
sharing
closed data between
organisations
Transport & Mobility Timeline
12 April
Programme launch
6 May
Submissions deadline
16 May
Pitch event
Judging periodCommunicate
7. DATA CITY | DATA NATION
www.datacitydatanation.org
sharing
closed data between
organisations
Transport & Mobility: Introducing the Partners
8. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation
#Transport
#Mobility
@DigiCatapult
For more information:
DCDN@DIGICATAPULT.ORG.UK
9. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Andrew Collinge
Assistant Director, Greater London Authority
10. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Priya Prakash
Design for Social Change
11. Design for Social Change
Citizen Canvas
Collaborative city-making with data to
help simplify and speed up city pilots
Priya Prakash
Design for Social Change Ltd.
@D4SC #CitizenCanvas
priya.prakash@design4socialchange.com
18. the stakeholder problem
“Based on engagements with city stakeholders
worldwide, Cisco found that the complexity of cities
(multiple parties, stakeholders, and processes)
remains the most significant barrier to adopting
Smart City solutions.
What they lack is structured thinking“
39. Get in touch if you’d like to bring Citizen Canvas or D4SC
toolkit to your smart city pilot/project.
Priya Prakash
CEO @D4SC
DESIGN FOR SOCIAL CHANGE
priya.prakash@design4socialchange.com www.D4SC.io
Thank you | Download from www.citizencanvas.org
40. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Isabel Dedring
Director, Global Transport Leader, Arup
41. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Philipp Rode
Executive Director, LSE Cities
42. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Q & A
43. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Will Farrelly
Ford Motors, Smart Mobility User Experience
56. “How can we accurately identify, filter and
characterise transport delay events across
large-scale, dynamic, multi-modal
transportation systems?”
57. “…and how can we help users understand the
likely impact
of a transport delay event on
their personal journey ?”
(e.g. time delay, congestion, etc)
59. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Rikesh Shah
Lead Relationship Manager, TfL Online
60. DATA CITY/DATA NATION
Ford and TfL – London Mobility Challenge
Rikesh Shah
Lead Digital Relationship Manager – TfL
61. 61
Our purpose
‘Keep London working and growing and make life better’
Plan ahead to meet the challenges of a
growing population
Unlock economic development and growth
Meet the rising expectations of our customers
and users
62. What our customers want
Understand what we stand for
Excellent
reliability and customer
experience
Value for Money
Progress & Innovation
Trust
62
63. Our customers have gone mobile
63
39 %
of Londoners
own a tablet.
up 9% in the past 12 months80 %
of Londoners own a
smartphone
76 %
access the internet
on a smartphone
57 %
89 %
of Londoners use the
TfL website on their mobile
of mobile internet users
use apps
64. Technology in London
64
94 %
of Londoners use
the internet.
81 %
of Londoners use
the TfL website.
86 % Use the internet for
maps and directions
Social Media in London
25% use Twitter
56% use Facebook
16% use LinkedIn
TfL website key facts
10 million users a month
20 million visits a month
100 million pages a month
65. Transport for London Social Media
65
2m followers
24 hours a day
23 Twitter handles
8,000 mentions per week
6,000 new followers
per week
66. Open Data – Good for organisations, customers
and developers
Operational realtime systems and data repositories
Individual system APIs and reference data
Unified single API
Single Sign On
Responsive webThird party apps
Access layer
66
67. 67
Why open data – travel information
Public data
Reach
Optimal use of transport
network
Economic benefit
Innovation
68. 68
Outcomes
• 8,000 registered developers producing 460 apps serving
millions of Londoners
• Estimated value of customer time saved up to £58m per
annum on £1m spend
• Greater reach, innovation and customer choice
• Economic value of ‘Digital London’
69. PUBLIC TRANSPORT CHALLENGE
69
Register at tfl.gov.uk/developers
Reference data includes
• Stations, stops and piers locations
• Timetables
• Future works on Tube, Roads
Live data:
• Bus movement
• Tube movements,
departures, status
• River boat status and
arrivals
• Journey Planner API
How can we accurately identify, filter and characterise transportation
delay events across large-scale, dynamic, multi-modal transportation
systems?
71. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Q & A
72. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Daryl Arnold
CEO Newton Circus
73. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation #Transport #Mobility @DigiCatapult
Q & A
74. DATA CITY | DATA NATION
www.datacitydatanation.org
sharing
closed data between
organisations
Transport & Mobility Timeline
12 April
Programme launch
6 May
Submissions deadline
16 May
Pitch event
Judging periodCommunicate
75. DATA CITY | DATA NATION
www.datacitydatanation.org
#Datacitynation
#Transport
#Mobility
@DigiCatapult
For more information:
DCDN@DIGICATAPULT.ORG.UK
Notas del editor
Founde
And these are our four areas of focus, which we will explain a bit more about and what we are doing in these areas.
Founders = us and Newton Circus. You can talk through this.
Good morning – I am Priya Prakash, Founder of D4SC – The Urban Innovation company bringing Changify to drive people powered decisions for smarter cities.
[Introduction]
Good Morning. I’m Will Farrelly, User Experience Innovation at Ford Smart Mobility
Ford are very excited to be at the Digital Catapult today, for the launch of the Transport Data Challenge.
We’ll share new mobility and transport user research insights, and the data analytics challenge.
[World is a Changing Place]
So just for context, why is Ford interested in today’s Transport Data Challenge ?
Global trends such as Urbanisation and Sustainability affecting customers’ lives and access to transport and their mobility options.
In parallel we see the huge impact of mobile digital technology creating innovative new products and services.
One organisation can’t solve these challenge - we need to work together to overcome some of the inherent mobility challenges that exist today.
Ford believe that collaborative innovation is required to achieve the goal of “Smarter Journeys for All”.
[Ford Smart Mobility]
Ford Smart Mobility is Ford’s plan to be a leader across both automotive and mobility (creating new value opportunities)
Ford see huge opportunities in connectivity, autonomous vehicles, customer experience -- and relevant for today -- multi-modal transport, data and analytics.
We do this by applying user and technology focussed research and design projects, the goal being to create new innovative mobility solutions – it’s why we’re here today.
As part of the Data Catapult Challenge, Ford are looking for new mobility data technology solutions - and as part of today’s challenge announcement there will be a significant cash prize fund for the most innovative solutions.
[Multi-Modal User Experience]
One current Ford Smart Mobility project is “Multi-Modal User Experience”.
Ford conducted global research across three distinct mega-cities with diverse transport systems and infrastructure – Shanghai, Chicago and London – focussing on multi-modal users and their daily journeys.
The objective being to understand what people are thinking, what are they doing, and their unmet needs for multi-modal journeys (…and opportunities for innovation)
[The Value of Time]
One big insight is that urban multi-modal user value their journey time differently …not by looking at their watches and looking at the minutes tick by, but by how that journey feels, and how they perceive their journey time…
[Emotion and Context]
For the majority of regular multi-modal travellers, the value of time is not rational …it is emotional, it is contextual
We all know how different the Central Line at Liverpool Street feels going to work at 8:30 am on a Monday morning, vs. a social trip home at 2:30pm on a Sunday afternoon …if feels very different.
[Emotional Impact]
Most urban multi-modal journeys take generally the same amount of time (30mins +/- 10mins)
…what distinguishes most regular journeys is not time, but their emotional impact …i.e. is it crowded, is there a seat available, can I get a 4G signal, is there unexpected disruption ?
[Dynamic]
Another key insight is that multi-modal transport systems are dynamic in nature – when one thing changes everything changes
There is a transport time-table, but every transport element is sensitive to unplanned delays, which often manifest themselves as disruption, unpredictability and stress across the system.
[Expert Knowledge]
Our research also told us that multi-modal users feel they have expert knowledge of their city transport system
The critical personal journey and transport information that you can only get from experience (not available from the transport provider)
[Expert Knowledge]
What do we mean by “Expert Knowledge” – Angie from Chicago….
The little journey hacks; the short-cuts and personal understanding of impact of choosing different transport options for your regular journeys (e.g. knowing when Uber is likely to be surge charging, when to avoid a particular train station, knowing when getting off two stops earlier and walking the last 5 mins is much faster than taking the tube all the way, etc)
For multi-modal users, this is all about overcoming uncertainty and having the right information that allows them to choose the most appropriate transport option.
[Confidence vs. Uncertainty]
However, from a user perspective, perceived expert knowledge doesn’t necessarily equate to confidence
To end travellers, the transport system is perceived as fragile, uncertain, and often difficult to make informed journey decisions (which option to take)
We need to be thinking beyond transport time, location and cost, and start creating information systems that reflect the natural uncertainty and disruptions inherent to multi-modal transport systems.
In other words, we need to “Design for Delay”
[Designing for Delay]
By “Designing for Delay”, we want to give people a sense of “Keep me Moving” – making people feel they are making seamless progress towards their destination.
People need help knowing how to continue in case the transport system fails, or their personal journey is disrupted, and when to change their plans for a better options.
How can data analytics give us a deeper understanding of transport delay events and their likely impact to end users ?
That sounds like a challenge !
[Challenge Part One]
[Challenge Part Two]
xxxx
[Thank You / Q&A]
Introduction
TfL is delighted to be involved in this data challenge to help solve some important areas of focus for the Capital
3. A little bit of background...we have committed to syndicating open data to third parties (where technically, commercially and legally viable) and to engaging developers to deliver and innovate using open data. We have been applying this policy since 2010.
4m daily journeys on the Tube, 6.5m on buses – there are 500m more journeys on PT today than five years ago.
We aren’t just buses and Tube. TfL is responsible for Trams, London Overground, DLR, Emirates Airline, Cycle Hire, rivers, regulating TPH, streets i.e. key roads, cycling and road safety in the Capital
c) Population expected to grow to 10m by 2030. This is 2 full trains every week load of people arriving each week and staying here
d) We have to keep looking towards the future, and continue the investment, to ensure our transport network keeps pace with the growing number of people who need it. Only through this can the network continue to be a driver of the UK's economy, and maintain London's position as a world-leading city. This will support economic growth across London and wider across UK
e) People expect more – we are a customer focused organisation; we have to meet their needs
f) We put customers at the heart of everything we do; every journey matters. The open data policy means we can get relevant information out customers even quicker.
Everything we do is underpinned by customer trust but to gain that people need to understand what we stand for as an organisation
We have excellent customer satisfaction with our operational modes which we need to continue
Some people believe we make a profit – we have to emphasis that we don’t make a penny – everything is reinvested into improving public transport (this data is an asset – we reinvest this into improving London)
Innovation – we have to provide customers with new innovative outputs – open data is an example of that
It’s vital we know what our customers are doing. We spend a lot of effort into understanding this through a wide range of channels.
Customer trends in London are changing really fast.
Remember – an iPhone is only 8 years old. People got their information completely differently then i.e. collected a leaflet at a local station
Transport is key element as to why people use the internet
The growth of social media means we need to continually assess what this means for TfL.
We are doing some really good activity in social media. We are now reviewing our strategy so we can engage, provide customer service, marketing and real time info
So we have introduced open data – how does it work?
We have 50 data feeds – constantly increasing
In today’s context:
Customers want to be kept informed so they can re-plan their journey
We need to get the right information in their hands, at the right time, through their channel of choice
Lots of data you can use – register at via tfl’s website
Drive creativity, have fun – so many different types of data. Always, think customer!
We also have some roads data for the other challenge
- Roads status
- 12,000 sensors around junctions inform the system about traffic movement (currently closed data)
- A more immediate challenge (mention dataex for the marathon!)
Comms – visit #tflopen data or visit the tfl digital blog