2020/10/28 by Justin Tyndall · 1 voice · 1 citation
Economics, Econometrics and Finance · Social Sciences · #Economic and Environmental Valuation #Transportation Planning and Optimization #Urban Transport and Accessibility
paper · doi:10.1177/0042098020957583
openalex publication_date 2020/10/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/10
Cycling to work is uncommon in most areas of the USA but relatively common in a particular set of metros and neighbourhoods. Explanations for this spatial heterogeneity often focus on differences in local geography, with some areas being allegedly more suitable for cycling. I estimate the role of topography and climate in determining the share of a metro’s workers who cycle to work and the probability a particular worker chooses to cycle. I combine a USA-wide data set of commute flows with detailed elevation and climate data. I find that climate and topography play essentially no role in explaining cycling mode share across metros. Across workers, the hilliness of a commuter’s route is found to be statistically irrelevant to cycling mode choice.