Convergence and divergence pattern and influencing factors of free-floating bike share around subway stations in Beijing

Authors: Xiaoyue Tan*, , Jin Chen, Beijing Normal University, Qiang Li, Beijing Normal University
Topics: Transportation Geography, Planning Geography, Spatial Analysis & Modeling
Keywords: bike sharing, Convergence and divergence patterns, Multinomial logit model, Land use, built environment
Session Type: Paper
Day: 4/4/2019
Start / End Time: 3:05 PM / 4:45 PM
Room: Congressional B, Omni, West
Presentation File: No File Uploaded

Free-floating bike sharing (FFBS) is a newly emerged bike sharing system. Despite the popularity and rapid development of this system in China, few studies have investigated the spatio-temporal patterns of FFBS and influencing factors around subway stations. Understanding these patterns and relationship is helpful for operation management and increasing utilization rate. Using trip data around subway stations in Beijing, we explored the spatio-temporal patterns of FFBS on weekdays and weekends respectively. Also, land use and other related factors were examined to explain the pattern using the multinomial logit model. Generally, we found that the shared bike trips displayed distinctive convergence and divergence patterns on weekdays and weekends. There are 5 patterns on weekdays and 3 patterns on weekends respectively, the major difference among weekday patterns is the convergence or divergence behavior on morning and evening peak hours, whereas the main difference among weekend patterns is whether it is well-distributed in the whole morning and night. Model results show that the convergence behavior was positively influenced by population density, while the divergence behavior was negatively influenced by employment density in morning peak hours. This relationship is opposite in evening peak hours. In addition, intense convergence or divergence behavior was negatively influenced by land use diversity. We also found that some transportation features and density of points of interest (POI) show a significant impact on these patterns. The findings can be beneficial to transit authorities to optimize management strategy of BBFS and to expand or built FFBS in a new area.

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