Over the past decade, bike-sharing has garnered significant attention in both research and practice. As a manpower-driven transportation mode, the usage of bikes seems more sensitive to trip length, since one could take a shared bike to a destination where is too far to walk, or choose it for simply replacing walking when going to a nearby place. This paper identifies a threshold of bike-sharing trip lengths from bike-sharing trace data, and employs the Semiparametric Geographically Weighted Poisson Regression model to investigate the relationship between built environment and bike-sharing demand with different lengths by considering the heterogeneity in the relationship. Results show that built environment has heterogeneous effects on the bike-sharing demand in urban areas, and the effects differ across groups with trip lengths. The findings contribute to understanding the relationships between built environment and bike-sharing demand, and providing support for the placements and dispatching of shared bikes.
Exploring the relationship between built environment and bike-sharing demand: Does the trip length matter?
TRANSPORTATION PLANNING AND TECHNOLOGY
F. WANG ET AL.
Transportation Planning and Technology ; 48 , 5 ; 826-852
2025-07-04
27 pages
Article (Journal)
Electronic Resource
English
Modeling Bike Sharing System using Built Environment Factors
Tema Archive | 2015
|Short-Term Forecasting of Dockless Bike-Sharing Demand with the Built Environment and Weather
DOAJ | 2023
|Exploring the impacts of built environment on bike-sharing trips on weekends: The case of Guangzhou
Taylor & Francis Verlag | 2024
|