My presentation about the Utrecht Bicycle Transport Model at Velo-City 2017, 15 June 2017.

1. EXPLORING THE BICYCLE
TRANSPORT MODEL
@Herbert_Tiemens
Velo-City 2017
CROW-session

2. WHY DEVELOPING CYCLING
MODELING IN NETHERLANDS
Lack of data about cyclists ! not well
represented in decision making process
Cost-/Benefit analysis
Cycling taken for granted in existing
models (2012 situation)
Take cycling seriously!
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3. GOAL OF MODEL
Rough insight in numbers of utility cyclists
Missing link calculation
Road/ network improvements
BICYCLE TRANSPORT MODEL

4. BRUTUS: AGENT BASED
MODELING
Modeling individuals
“Monte Carlo” engine for:
Activities
Mode choice
Route choice
Sample expanding to whole population
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5. EMERGENCE
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6. DATA SOURCES
Land use:
Provincial employment survey
Schools DUO
Sports
Indiviual trips: CBS OViN (2010-2013)
Network: Route planner Cyclist federation
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12. TITEL
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13. ATTRIBUTES
Beauty Hinder car traffic
FIETSVERKEERSMODEL

14. ROUTE CHOICES
Gravity model doesn’t apply for cyclists
“Bikeability” of streets, based upon
different parameters
Satisfiers
Dissatisfiers
15 juni 17 14Credits: Noor Scheltema

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ATTRIBUTES
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Road type
Hinder
Beauty/Lighting
Crossing delays based
upon street width
Combination
Cyclist Union (easy
cycling)

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17. ROUTE CHOICE MODEL
Example
No deterministic value, but reflect
route choice of 100 cyclists
between A and B
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FIETSVERKEERSMODEL

18. MODEL RESULTS
FIETSVERKEERSMODEL
General map
Cases

19. CALIBRATION BY COUNTINGS
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21. MY QUESTIONS
Other ways to calculate “Bikeability”?
Better sources for diary data (privacy!)?
Calibration by open source data
(countings, GPS-logs, parking data)
Peak-hour / Daytime / Evening?
herbert.tiemens@provincie-utrecht.nl
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