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交通违法事故时空分布特征及其影响因素——以广州市为例
引用本文:张光南,钟俏婷,杨清玄.交通违法事故时空分布特征及其影响因素——以广州市为例[J].交通运输系统工程与信息,2019,19(3):208-214.
作者姓名:张光南  钟俏婷  杨清玄
作者单位:中山大学粤港澳发展研究院港澳珠江三角洲研究中心,广州,510275;中山大学粤港澳发展研究院港澳珠江三角洲研究中心,广州,510275;中山大学粤港澳发展研究院港澳珠江三角洲研究中心,广州,510275
基金项目:国家自然科学基金/ National Natural Science Foundation of China(71573286);教育部人文社会科学重点研究基地重大项目/ MOE Project of Key Research Institute of Humanities and Social Sciences at Universities(16JJDGAT006).
摘    要:为了深入研究我国城市交通事故的时空分布特征及其影响因素,通过对 2010年广州市交通事故原始数据的处理与分析,结合 GIS技术及系统聚类法,本文从道路特征,基础设施情况,以及白天和工作日交通事故比例等方面进行实证分析影响城市交通违法事故的风险因素;并在此基础上,结合广州市未来发展规划提出相关政策建议.结果表明:中心城区交通违法事故密集度最高,呈点状密集分布;交通违法事故的道路分布特征为干道多,支路少;上下班高峰时段,交通违法事故分布存在明显区别;从 9个交通违法事故高发区域归纳出 3大类区域,道路复杂、人多车多的商业地区,高速公路沿线和高架桥附近区域,以及设施齐全、出行方便的市中心.

关 键 词:交通工程  交通违法事故  GIS  系统聚类法  时空分布  影响因素
收稿时间:2018-12-03

Temporal-spatial Characteristics and Influencing Factors of At-fault Traffic Crashes: A Case Study in Guangzhou
ZHANG Guang-nan,ZHONG Qiao-ting,YANG Qing-xuan.Temporal-spatial Characteristics and Influencing Factors of At-fault Traffic Crashes: A Case Study in Guangzhou[J].Transportation Systems Engineering and Information,2019,19(3):208-214.
Authors:ZHANG Guang-nan  ZHONG Qiao-ting  YANG Qing-xuan
Institution:Center for Studies of Hong Kong, Macao and Pearl River Delta, Institute of Guangdong, Hong Kong and Macao Development Studies, Sun Yat-Sen University, Guangzhou 510275, China
Abstract: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 atfault 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.
Keywords:traffic engineering  at-fault crashes  GIS  hierarchical cluster analysis  temporal- spatial characteristics  risk factors  
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