Spatio-Temporal Usage Patterns of Dockless Bike-Sharing Service Linking to a Metro Station: A Case Study in Shanghai, China
Spatio-Temporal Usage Patterns of Dockless Bike-Sharing Service Linking to a Metro Station: A Case Study in Shanghai, China
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DOI：
10.3390/su12030851
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发表时间：
2020-01
期刊：
影响因子：
3.9
通讯作者：
Q. Yan;Kun Gao;Lijun Sun;Minhua Shao
中科院分区：
文献类型：
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作者：
Q. Yan;Kun Gao;Lijun Sun;Minhua Shao
无桩共享单车（DLBS）系统是地铁站和旅行者目的地（或出发地）之间的纽带。本文旨在揭示地铁站点无桩共享单车服务的时空使用模式，为科学规划和管理无桩共享单车系统提供支持。使用功能强大的可视化工具来分析工作日和周末使用模式的差异。研究了在地铁站附近使用无桩共享单车的出行距离分布，以揭示无桩共享单车系统的服务区域。采用凝聚层次聚类分析方法，分析了不同地区地铁车站使用模式的差异。结果显示，周末无桩共享单车的使用模式与工作日不同。周末使用无桩共享单车系统的平均出行距离明显大于工作日。旅行距离分布可以很好地拟合广义极值（GEV）分布族的Fréchet分布。共享单车的使用特征与地铁站周边的土地利用和人口密度相关。无论是市区还是郊区，在人口密集、土地开发密集的地区，比如郊区的大学城，共享单车的需求都很大。本研究增进了对DLBS系统作为最终目的地（或始发地）和地铁站之间的连接的使用模式的理解。研究结果对DLBS的运行和需求管理具有一定的指导意义。
The dockless bike-sharing (DLBS) system serves as a link between metro stations and travelers’ destinations (or originations). This paper aims to uncover spatio-temporal usage patterns of dockless bike-sharing service linking to metro stations for supporting scientific planning and management of the dockless bike-sharing system. A powerful visualization tool was used to analyze the differences in usage patterns in workdays and weekends. The travel distance distributions of using dockless bike-sharing near metro stations were investigated to shed light on the service area of the dockless bike-sharing system. Agglomerative hierarchical clustering was applied to analyze differences in usage patterns of metro stations located in different areas. The results show that the usage patterns of dockless bike-sharing on weekends are different from those on workdays. The average travel distance using the dockless bike-sharing system at weekends is significantly larger than that of workdays. The travel distance distribution could be nicely fitted by the Fréchet distribution of the Generalized Extreme Value (GEV) distribution family. The usage characteristics of shared bikes are correlated with land use and population density around metro stations. No matter in urban or suburban areas, there is a great demand for bike-sharing in densely populated areas with intensive land development, such as university towns in suburban areas. This study improves the understandings regarding the usage patterns of the DLBS system serving as a link between the final destinations (or originations) and metro stations. The results can be helpful to the operation and demand management of DLBS.