1. Bike-ability
Cities for zero emission and public health
Advisory Board 02-12-2010
Gertrud Jørgensen
Inger Grønkjær Ulrich

2. Sick-Nielsen

3. Sick-Nielsen

4. Sick-Nielsen

5. Sick-Nielsen

6. Goal and Questions
Create knowledge
for planners and policymakers
About
• People: Who bikes, where and why?
• Urban environment: how does it cater for bicycles?
• Relations: between people and urban environment, what
makes cities bike-able?
To help enhance bikeability of cities

7. Or to investigate ..
Effects of..
• Social, cultural and demographic variables in the urban population
• The urban spatial structure (population density, built environment, urban
functions, and amount, location and quality of bicycle facilities)
• Specific changes in bicycle infrastructure (new paths, bridges)
• Changes to the route attributes (traffic lights, separation of bicycle
lanes, greening )
…on the amount and quality of bicycling in cities

8. Five workpackages
• WP1 Cycling behaviour and its preconditions: motives, lifestyles,
opportunities and constraints.
• WP2 Environmental determinants for bikeability: Individual cycling
behaviour in selected neighbourhoods.
• WP3 Choice modelling for simulation of bicyclist behaviour:
Simulating flow of individual bicyclists in urban areas as a response to
changes to the urban environment
• WP4 Interventions to the bicycling infrastructure: Municipal
strategies for bikeability and evaluation of specific infrastructure
• WP5 Planning Guidance and Dissemination: presenting results to
policymakers and planners.

9. WP relations
WP5 Planning Guidance and Dissemination
WP1: WP2
Cyclist behaviour – Environmental
what, how, why ? determinants and
specific behaviour
WP4 WP3
Interventions to Simulation of behaviour
infrastructure

10. WP relations
n
lse en WP5 Planning Guidance and Dissemination
S Nie ens
as arst
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Th ne A ldma
Tri a Go WP1: WP2
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Ez Cyclist behaviour – Environmental
what, how, why ? determinants and
specific behaviour
WP4 WP3
Interventions to Simulation of behaviour
infrastructure

11. WP relations
WP5 Planning Guidance and Dissemination
WP1: WP2
Cyclist behaviour – Environmental n
d se
what, how, why ? determinants and nu
K
specific behaviour ie S
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WP4 WP3
Interventions to Simulation of behaviour
infrastructure

12. WP relations
WP5 Planning Guidance and Dissemination
WP1: WP2
Cyclist behaviour – Environmental
what, how, why ? determinants and
specific behaviour
WP4 WP3
Interventions to Simulation of behaviour
infrastructure
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13. WP relations
WP5 Planning Guidance and Dissemination
WP1: WP2
Cyclist behaviour – Environmental
what, how, why ? determinants and
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WP4 WP3
Interventions to Simulation of behaviour
infrastructure hl
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16. Who we are
18 researchers from
• Forest & Landscape Denmark, University of Copenhagen (4 researchers, 1 post
doc, 2 PhD’s)
• Architecture, Design and Media technology, Aalborg University (3 researchers)
• Development and Planning, Aalborg University (1 researcher, 1 post doc)
• Sports Science and Clinical Biomechanics, University of Southern Denmark (1
researcher, 1 PhD)
• Delft University of Technology (the Netherlands)
• Danish Cancer Society
• Danish Cycling Federation
• I-CE, Interface for cycling Expertise (the Netherlands)
Budget
• The project is financed by The Danish Council for Strategic Research
• Granted support: 12.998 Mill Kr ~ 6,5 mill $
Time frame
• 2010 till 2013

17. Scientific advisory board
Director, Professor Michael Batty, Centre for Advanced Spatial
Analysis, University College London (expertise: GPS, Simulation,
Planning)
Associate professor Wolfgang Haider, School of Resource and
Environmental Management, Simon Fraser University, British
Columbia (expertise: Choice experiments)
Research Associate Dave Horton, Lancaster Environment
Centre, Lancaster University (expertise: Bicycle sociology)
Professor James F. Sallis, Department of Psychology, San
Diego State University (expertise: health and active living;
environmental interventions) – not present today

18. Challenges
Different backgrounds, disciplines, theories and – not
least - methods
•Surveys & Statistics
•Interviews
•Choice modelleing
•GPS based studies
•Interventions – evaluations
•Simulation
•Case studies
Can we bridge the gaps? Can we use data and results
across workpackages? Can we make one project? Can
we make valid results?