Research
Revealing the impact of weather on changes in individual-level habitual cycling frequencies using a Bayesian framework
Yangqian Cai, Mads Paulsen · 2026
Summary
This study uses longitudinal GPS data from 698 cyclists in Switzerland to investigate how weather conditions influence changes in habitual cycling frequency. Using Bayesian changepoint detection, it identifies the effects of snowfall, precipitation and temperature, while highlighting differences associated with e-bike ownership and cycling experience.
- Topics
- Data & MonitoringBehaviour & Mobility Management
- Target audience
- Policy makersMaintenanceResearchersPromoters & advocates
- Mode
- Cycling
- Conditions
- Year-roundWinterSnowyIcySlushyColdWetDarkHot
- Population group
- Adults
- Trip purpose
- All
- Countries
- Switzerland(Switzerland, multiple locations)
- Language
- English
- Access
- Open access
- License
- CC BY 4.0
- DOI
- 10.1016/j.tbs.2026.101373
- Organisations