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Desirable bikeshare routes: Nonlinear impacts of micro-level street environments
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DOI：10.1016/j.tra.2026.104962.png)
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Abstract
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• Road damage is detected from street view images with 98.4% accuracy. • Lush trees attract cyclists while excess shrubs expel bikers. • Streets visually perceived complex and human-scale attract cyclists. • Sidewalk is a must, while road damage is severe where cyclists aggregate. • Perceived accessibility/order/richness are excitement factors.
Keywords:
Dockless bikeshare (DBS)
Cyclists
Route choice
Non-linear effects
Micro-level street environment
Road damage detection
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