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Bicycle use in Germany: explaining differences between municipalities with social network effects
1University of Louisville.
Summary
Social network effects significantly boost cycling for shopping and recreation, but not for commuting. Cycling infrastructure primarily impacts shopping and errand trips, with commuting being policy-independent.
Area of Science:
- Urban planning
- Transportation science
- Sociology
Background:
- Understanding factors influencing bicycle use is crucial for sustainable urban mobility.
- Previous research has not fully accounted for social network effects on cycling behavior.
- This study examines 20 German municipalities with varying bicycle mode shares.
Observation:
- A mode choice model for bicycling was developed using data from the Mobility in Germany 2002 survey.
- Social network or spillover effects, representing a city's bicycling culture, were incorporated.
- An instrumental variable approach was used to model these social network effects.
Findings:
- Social network effects positively influence the probability of cycling for shopping and recreational trips.
- These effects do not significantly impact cycling for school, work, or errands.
- Cycling infrastructure availability is a key factor only for shopping and errand trips.
- Bicycle commuting appears largely unaffected by policy variables.
Implications:
- Promoting cycling culture through social networks can increase its use for specific trip purposes.
- Targeted infrastructure investments are more effective for certain types of bicycle trips.
- Policy interventions for bicycle commuting may require different strategies than those for other trip purposes.
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