Temporal-spatial Characteristics and Influencing Factors of At-fault Traffic Crashes: A Case Study in Guangzhou

被引：0
作者：
Zhang G.-N. [1 ]
Zhong Q.-T. [1 ]
Yang Q.-X. [1 ]
机构：
[1] Institute of Guangdong, Hong Kong and Macao Development Studies, Sun Yat-Sen University, Guangzhou
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2019年 / 19卷 / 03期
基金：
中国国家自然科学基金;
关键词：
At-fault crashes; GIS; Hierarchical cluster analysis; Risk factors; Temporal-spatial characteristics; Traffic engineering;
D O I：
10.16097/j.cnki.1009-6744.2019.03.031
中图分类号：
学科分类号：
摘要：
Towards more in-depth research for temporal-spatial characteristics and potential influencing factors of traffic accidents in urban cities, this paper analyzes the traffic accident data of Guangzhou city in 2010. Using geographic information system (GIS) technique and hierarchical cluster analysis, this paper analyzes the risk factors associated with at-fault crashes, including characteristics of the road, infrastructure situation and the accident rate on weekdays and during the daytime. According to the analysis results and future development plan of Guangzhou, several proposals are put forward to improve the road safety situation in Guangzhou. Analysis results show that the highest incidence of at-fault crashes occurs in the central city with a spotty distribution. For road features, more at-fault crashes occur on main roads rather than on accessory ones, and the distribution of at-fault accidents during the morning peak is significantly different from that during the afternoon peak. Through examining the identified nine crash hotspots in Guangzhou, this paper identifies three main patterns of at-fault crashes. The first one is the crowded business district with complex roads. The second one is close to expressways and trestles. The third one displays downtown characteristics including well-equipped facilities and convenient transportation. Copyright © 2019 by Science Press.
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页码：208 / 214
页数：6
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