中小城市公共自行车出行模式与驱动机制研究

doi:10.12082/dqxxkx.2019.180199

Abstract

Abstract:

Given the importance of environment-friendly cities, the development of public bicycle systems (PBSs) has become more popular in recent years around the world. The purpose of this study was to explore the usage patterns of PBSs in small and medium-sized cities in Guangdong province, China, and to infer the driving mechanisms of system attributes and the built environment. The research applied time series analysis of global activity patterns, hierarchical clustering algorithm using Dynamic Time Warping distances as features and spatial data visualization on station-based data, and then compared different systems by employing a random forest algorithm to evaluate the influencing factors. The study objective was to better understand the relationship between public bicycle usage activity and underlying built environment characteristics. In Huicheng District of Huizhou City and Shaoguan City, the public bicycle usage patterns are regular, and bicycle stations are grouped into several clusters based on usage patterns of "morning destination, night origin" "morning origin, night destination" and "steady throughout the day". The PBS in Huicheng District plays various roles by helping users commute to and from jobs and schools, and to make short distance trips. The PBS also is a complementary tool for bus transit facilities. The PBS in Shaoguan City mostly serves as a mode for commuting. The PBS is inefficiently used in Huiyang District of Huizhou City owing to the poor road conditions. This research provides a study framework that can be reproduced in other areas, and offers a way of optimizing PBSs, thereby assisting urban transportation planning and urban land use allocation.

Key words: public bicycle, small and medium-sized cities, spatio-temporal data mining, random forest, driving mechanisms

Luyi WANG, Jiansheng WU, Weifeng LI. Usage Patterns and Driving Mechanisms of Public Bicycle Systems in Small and Medium-Sized Cities based on Space-Time Data Mining[J].Journal of Geo-information Science, 2019, 21(1): 25-35.DOI:10.12082/dqxxkx.2019.180199

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研究区域	惠州市惠城区	惠州市惠阳区	韶关市市区
系统开始运营时间	2012年4月	2013年12月	2013年1月
自行车站点数量	97	37	31
总车位数/个	1762	714	600
自行车数/辆	760	260	270
车位/站点比	18.16	19.30	19.35
车位/自行车数比	2.32	2.75	2.22

Usage Patterns and Driving Mechanisms of Public Bicycle Systems in Small and Medium-Sized Cities based on Space-Time Data Mining

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