The nonlinear relationship between built environment and cycling propensity for different travel purposes - based on extreme gradient boosting decision tree
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View abstract on PubMed
Summary
This summary is machine-generated.This study reveals the built environment significantly influences bicycle use for compulsory and discretionary trips. Understanding these factors can guide urban planning to promote cycling.
Area Of Science
- Urban Planning
- Transportation Science
- Environmental Science
Background
- Bicycles offer flexible, low-carbon, short-distance travel.
- Previous models often overlooked nonlinear built environment impacts on cycling.
Purpose Of The Study
- Investigate socio-economic, travel, and built environment factors influencing bicycle choice.
- Analyze nonlinear relationships and threshold effects for compulsory and discretionary trips.
Main Methods
- Utilized 2018 Daily Trip Survey data from Xianyang, China.
- Employed advanced modeling techniques to capture nonlinearities.
Main Results
- Cycling choice models achieved 89% (compulsory) and 80% (discretionary) accuracy.
- Built environment impacts cycling more for compulsory than discretionary trips.
- Key variables include non-vehicle isolation belts, lane parking, population density, and POI diversity.
Conclusions
- The built environment's influence on cycling varies by trip purpose.
- Nonlinear relationships and threshold effects are crucial for understanding cycling behavior.
- Findings support targeted urban planning interventions to boost bicycle adoption.
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