Analysis of temporal and spatial usage patterns of dockless bike sharing system around rail transit station area; [轨道交通站点辐射范围内共享单车时空使用模式分析]

被引：5
作者：
Ji Y. [1 ]
Cao Y. [1 ]
Liu Y. [1 ]
Ma X. [1 ]
机构：
[1] School of Transportation, Southeast University, Nanjing
来源：
Journal of Southeast University (English Edition) | 2019年 / 35卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Cluster; Dockless bike sharing system; Rail transit station; Usage pattern;
D O I：
10.3969/j.issn.1003-7985.2019.02.013
中图分类号：
学科分类号：
摘要：
In order to study the spatiotemporal characteristics of the dockless bike sharing system (BSS) around urban rail transit stations, new normalized calculation methods are proposed to explore the temporal and spatial usage patterns of the dockless BSS around rail transit stations by using 5-weekday dockless bike sharing trip data in Nanjing, China. First, the rail transit station area (RTSA) is defined by extracting shared bike trips with trip ends falling into the area. Then, the temporal and spatial decomposition methods are developed and two criterions are calculated, namely, normalized dynamic variation of bikes (NDVB) and normalized spatial distribution of trips (NSDT). Furthermore, the temporal and spatial usage patterns are clustered and the corresponding geographical distributions of shared bikes are determined. The results show that four temporal usage patterns and two spatial patterns of dockless BSS are finally identified. Area type (urban center and suburb) has a great influence on temporal usage patterns. Spatial usage patterns are irregular and affected by limited directions, adjacent rail transit stations and street networks. The findings can help form a better understanding of dockless shared bike users' behavior around rail transit stations, which will contribute to improving the service and efficiency of both rail transit and BSS. © 2019, Editorial Department of Journal of Southeast University. All right reserved.
引用
收藏
页码：228 / 235
页数：7
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