| Abstract: | As a low-carbon and environmentally friendly travel mode, bike-sharing (BS) has developed rapidly in many cities at home and abroad. However, existing studies have paid little attention to the relationship between urban morphology factors and BS ridership, and overlooked the nonlinearity of the relationship. This study analyzes the spatio-temporal characteristics of BS trips based on Boston's BS system data. We use generalized additive mixed model (GAMM) to capture the nonlinear relationship between BS ridership and built environment characteristics. The results show that: (1) BS ridership has a spatial pattern of attenuation from the downtown area to the periphery area. BS travel distances are concentrated at 3km, with a limit of 6km. (2) Temperature, weekday, and weather have significant effects on BS ridership. (3) BS ridership is linearly and positively correlated with total population, road density and metro accessibility, and has a nonlinear relationship with street orientation entropy and average road length. Finally, we provide corresponding policy implications for China based on the empirical findings. © 2023 Editorial Department of World Regional Studies |
