Examining the impact of station location on dockless bikesharing-metro integration: Evidence from Beijing

Abstract

To address the unbalanced distribution of dockless bike sharing around metro stations, existing studies usually examine local-scale characteristics while neglecting the correlation between station location and travel demand which exert a more substantial influence on travel behavior. This study bridges this gap by conducting a comprehensively analysis of the impacts and underlying mechanism of station location on DBS-metro integrated demand. The results uncover a notable negative correlation between station location − measured by both proximity to the city center and distance from subcenters and DBS-metro integration demand. Moreover, job-housing imbalance and public transport allocation around metro stations, inherently influenced by station location, further shape DBS-metro integration demand. Notably, our results show significantly higher demand during the morning peak compared to the evening and at metro stations with medium-level ridership, highlighting the heterogeneous patterns. In addition, subcenters compensate to some extent for the decline in transport resources caused by distance from the city center. These insights bear critical implications for policy formulation concerning on-demand public transport services and the exploration of transport equity, facilitating a more informed approach towards rectifying transportation disparities.