Nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage

Document Type

Journal Article

Publication Date

2025

Subject Area

mode - bike, mode - subway/metro, mode - taxi, place - asia, place - urban, land use - impacts, land use - urban density

Keywords

Metro, shared mobility, built environment

Abstract

Limited attention has been paid to revealing nonlinear relationships between the built environment and the integration of metro and shared mobility. This study applies the random forest model to examine and compare the nonlinear effects of the built environment on metro-integrated bikesharing and ridesourcing usage. It takes Shanghai as the study area, supported by massive user-generated bikesharing and ridesourcing trips. The results show that the distance to the city center and the number of entrances are the two most significant impact factors, while other built environment factors show varying degrees of influence. Interestingly, secondary and primary road densities play a significant role in predicting the usage of bikesharing and ridesourcing services, respectively. Moreover, nonlinear effects of the built environment have been investigated. For example, when secondary road density is below 5.2 km/km2, it has a positive effect on bike-sharing usage. However, this relationship does not hold when the secondary road density exceeds this threshold. This study offer valuable insights for transportation planning and policy-making.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part D Home Page:

http://www.sciencedirect.com/science/journal/13619209

Share

COinS