Yu Senbin, Han Xianke, Liu Ling, Liu Gehui, Cheng Minghui, Ke Yu, Li Lili
Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China.
College of Engineering, Zhejiang Normal University, Jinhua, 321004, China.
Sci Rep. 2024 Jul 11;14(1):16017. doi: 10.1038/s41598-024-66564-2.
Free-floating bike sharing (FFBS) attracts increasing research focusing on usage patterns, determining factors, and integrated transportation. However, existing researchers tend to overlook the variation in usage characteristics over various time ranges, particularly the usage pattern at night. This paper is conducted to fill the gap through a series of analysis approaches on FFSB in Beijing. The characteristics of the usage pattern, including time-varying usage and traveling distance distributions, are initially illustrated. Subsequently, the spatial patterns of FFBS are visualized and thoroughly analyzed in different time ranges and origin-destination (O-D) flows. A statistical model evaluating the environmental effects of FFBS trips revealed the source of FFBS usage. In addition to focusing on the nighttime, the usage patterns varying day and night are compared through the analysis. The findings explain the usage pattern variation and the unique pattern at night, providing valuable insight for improving the management of the FFBS system.
自由浮动式共享单车（FFBS）吸引了越来越多的研究，这些研究聚焦于使用模式、决定因素和综合交通。然而，现有研究往往忽视了不同时间范围内使用特征的变化，尤其是夜间的使用模式。本文旨在通过对北京自由浮动式共享单车的一系列分析方法来填补这一空白。首先阐述了使用模式的特征，包括随时间变化的使用情况和出行距离分布。随后，对自由浮动式共享单车在不同时间范围和起讫点（O-D）流量下的空间模式进行了可视化和深入分析。一个评估自由浮动式共享单车出行环境影响的统计模型揭示了其使用来源。除了关注夜间，还通过分析比较了昼夜不同的使用模式。研究结果解释了使用模式的变化以及夜间的独特模式，为改善自由浮动式共享单车系统的管理提供了有价值的见解。
