Bicycle Use in Germany: Explaining Differences between Municipalities with Social Network Effects

This paper aims to account for important factors influencing bicycle use and focuses in particular on differences between 20 selected German municipalities with considerable variation in their bicycle mode share. Using data from the nation-wide survey Mobility in Germany 2002, a mode choice model fo...

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Bibliographic Details
Published in:Urban studies (Edinburgh, Scotland) Scotland), 2011-02, Vol.48 (2), p.427-437
Main Authors: Goetzke, Frank, Rave, Tilmann
Format: Article
Language:English
Subjects:
Automobiles
Bgi / Prodig
Bicycles
Bicycling
Bicycling - education
Bicycling - history
Bicycling - physiology
Bicycling - psychology
Choices
Cities
Commuting
Culture
Cycling
Decision making models
Economic models
Environment
Externality
Federal Republic of Germany
Germany
Germany - ethnology
History of medicine
History, 21st Century
Human geography
Independent variables
Infrastructure
Instrumental variables
Interpersonal Relations - history
Local government
Metropolitan areas
Mobility
Modal choice
Municipalities
Physical Fitness - history
Physical Fitness - physiology
Physical Fitness - psychology
Public policy
Rail transit
Raves
Resource sharing
Schools
Shopping
Social Networks
Social organization
Social Support
Surveys
Traffic control
Transportation - history
Trip purposes
Urban economics. Equipment. Transportation
Urban geography
Urban Health - history
Urban Population - history
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Summary:This paper aims to account for important factors influencing bicycle use and focuses in particular on differences between 20 selected German municipalities with considerable variation in their bicycle mode share. Using data from the nation-wide survey Mobility in Germany 2002, a mode choice model for bicycling is developed. In an extension to previous research, social network or spillover effects as a measure of the city's bicycling culture are also taken into account. These effects are modelled using an instrumental variable approach. It is shown that social network effects increase the probability of cycling for shopping and recreational trip purposes, but not for school, work or errands. Furthermore, it is found that cycling infrastructure matters only for shopping and errand trips. Finally, commuting trips by bicycle seem to be largely independent of any policy variables.
ISSN:0042-0980
1360-063X
DOI:10.1177/0042098009360681