decision making in the digital age - civitas · urban planners and policy makers, and users...
TRANSCRIPT
Decision making in the digital age: The role of data in transport policies and decisions
for non-motorised modes
Moderation: Bonnie Fenton, Rupprecht Consult
Presentations: Kain Glensor, Wuppertal Institute (EMPOWER)
Paulo Ferreira, INESC-ID (TRACE)
Kristin Tovaas, Rupprecht Consult (FLOW)
CiViTAS Conference 2017 – Torres Vedras – 27.9.2017
• The source of many mobility-related decisions
• Many data sources exist for motorised modes
• But:
– To what extent is data available on walking and cycling in cities?
– What can/should such data be used for?
– What are the consequences for planning and decision making if such data isn’t available?
Why data?
Cycling and walking are playinga larger role in people's
transport choices.
Transport modelsdetermine action.
FLOW: Bringing two worlds together
Support partners• Rupprecht Consult
(coordinator)• Gdansk University of
Technology• Budapest U of Tech and
Economics• Wuppertal Institute• Traject • Polis
Technical• PTV• Forum of European National
Highway Research Laboratories
CitiesCycling and walking • Walk21 • European Cyclists’
Federation
FLOW partnership
TRACE – Goals and ChallengesTRACE will trigger innovative
cycling and walking promotion initiatives and planning practices by
expanding the knowledge and leveraging the potential of cycling and walking tracking
• The related challenges should be tackled in various fields:
– How can features enabled by tracking technology meet stakeholders’ interests?
– How can those features meet the interests, capabilities and behaviour levers of individuals?
– Consequently, in what ways can they promote behaviour change and increase the attractiveness of walking and cycling?
– What are the Information and Communication Technologies’ (ICT) challengesput by those features and related barriers and needs, and how can they be overcome?
TRACE Consortium
Participant No Participant organization name Participant organization short name
Country
1 (Coordinator)
INESC-ID – Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa INESC-ID PT
2 TIS.PT – Consultores em Transportes Inovação e Sistemas TIS PT
3 Mobiel 21 - organisation for sustainable mobility M21 BE
4 Polis Polis BE5 The Faculty of Transport and Traffic Engineering - University
of BelgradeFTTE RS
6 LuxMobility LuxM LU7 IJsberg Consultants Ijsberg NL8 Gemeente Breda (Municipality of Breda) Breda NL9 Câmara Municipal de Águeda (Municipality of Águeda) Águeda PT
10 Energy Agency of Plovdiv EAP BG11 SRM Reti e Mobilità Bologna SRM IT12 Southend on Sea Borough Council SSBC UK
EMPOWER project
• What?• Encourage citizens to reconsider their travel choices
• Reduce the use of (conventionally fuelled) cars
• Increase accessibility and attractiveness
• User satisfaction with the service
• Include vulnerable groups
• How?• Positive incentives
• Smartphone-based tracking apps• SMART
• Better points
• MolBUBI
• Biking Friend, Go Bike Denmark, Endomondo
• ...
EMPOWER project
• Where?
• Netherlands: Enschede
• Sweden: Gothenburg
• Finland: Helsinki
• UK: Milton Keynes, Scotland-wide, Reading & Newcastle
• Italy: Milano & Bologna
• Denmark: Odense
• Belgium: Antwerp
• Hungary: Budapest
Applying the FLOW assessment tools: data collection challenges and solutions
CiViTAS Forum 2017
27 September 2017, Torres Vedras
•Kristin Tovaas, Rupprecht Consult
Lack of data
Based on assumptions
Lack of political understanding and support
“Proving” that congestion reduction is caused by walking or
cycling measures
Defining pedestrian/ cyclist congestion
Challenges
Always a simplification of the world!
Modelling human behaviour isn’t easy
FLOW tools
✓ Multimodal definition of congestion & its operationalisation
✓ Improved micro and macro modelling software
✓ Impact assessment tool
Challenges – collecting cycling data
Challenges – collecting walking data
Data sources – cycling
Data sources – walking
Paulo Ferreira
CIVITAS Forum 2017, Torres Vedras
Global WP View
Users Needs
Develop
Implementand
Evaluate
INESC IDTISIJSBERG
TISM21POLIS
TISM21LuxMFTTEBredaÁguedaEAPSRMSSBC
INES
C ID
PO
LIS
TRACE Tools• Traffic Snake Game (TSG)
• PositiveDrive (PD)
• Cycle-to-Shop (Biklio)
• Tracking Analysis Tool (TaToo)
Positive Drive is the first gamification tracking app that only positively rewards behaviour in traffic
…
for a period of two weeks, children earn dots per day when
to build network of recognition and benefits to urban bicycle users
…linking them to local businesses and
… forming a cycling community
trackingdata
Toolmapmatching
indicatorsmap
indicators
visualizationtool
Traffic Snake Game
PositiveDrive
▪ Very easy in use: tracks automatically or manually (press GO! and finish)
▪ Positive Drive registers routes for walking, cycling, cars and public transport, working at home and carpooling
▪ Shows map with total distance, speed, earned (s)miles & Point of Interests; all shareable through social media
Biklio
Biklio seeks happier and freer cities by recognizing bicycle users and
connecting them to benefitsavailable in their community
By becoming a Biklio Spot, Bikliousers will see you
in the app.
Biklio Spots offerbenefits to people who
arrive in the areaby bicycle.
Pilots
TaToo
• Instrument to make walking and cycling tracking data valuable to urban planners and policy makers, and users themselves
• Translate tracking data into useful indicators and analyses
• That influence planning and policy processes
trackingdata
TATooMapmatching engine
Indicators engine
map
indicators
visualization tool (GIS)
Implementation by PTV SISTeMA
THANK YOU!
For further information contact the project coordinator at INESC ID:
Paulo Ferreira, Phone: +351 21 3100230, Email: [email protected]
EMPOWER: Tracking apps
• Detailed date of users’ travel behaviour and choices
– >120 data fields for each trip
Evaluation is easy... Right?
– Data paradox
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Filling the gap
• No valid comparison data = no solid case for causal link between incentive and effect!
• Sources of comparison data– Surveys
– App data without incentivising behavioural change
– Traffic counters and other data sources
– ...?
• Still valid and useful data? – Cheaper than comparable methods?
30
• Round 1:
– initial discussion round
• Round 2:
– building on round 1
• Round 3:
– drawing out key points
World café format
Table 1:• What is the potential of walking and cycling data collected through
tracking apps?• How do you find a balance between expensive data collection and
robust assessment? What role can tracking apps play?Table 2:• How does/could non-motorised travel data change bicycle and
pedestrian transport planning?• What role does the data gap play in setting the agenda in mobility
planning?Table 3:• Can digitally collected data address current problems (and if so, which
ones?) or are apps just trendy toys? • How can/do behaviour change campaigns fit together with data for
planning?
World café questions
• Table 1:
• Table 2:
• Table 3:
World café key points
Thank you!
FLOW: Bonnie Fenton, Kristin Tovaas, Rupprecht Consult
TRACE: Paulo Ferreira, INESC-ID
EMPOWER : Kain Glensor, Wuppertal Institute
CiViTAS Conference 2017 – Torres Vedras – 27.9.2017
