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Investigation of clusters and injuries in pedestrian crashes using GIS in Changsha, China

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成果类型:
期刊论文
作者:
Hu, Lin;Wu, Xianhui;Huang, Jing*;Peng, Yong;Liu, Weiguo
通讯作者:
Huang, Jing
作者机构:
[Wu, Xianhui; Hu, Lin] Changsha Univ Sci & Technol, Sch Automot & Mech Engn, Changsha, Peoples R China.
[Wu, Xianhui; Hu, Lin] Changsha Univ Sci & Technol, Hunan Prov Key Lab Safety Design & Reliabil Techn, Changsha, Peoples R China.
[Huang, Jing] Hunan Univ, State Key Lab Adv Design & Manufacture Vehicle Bo, Changsha, Peoples R China.
[Peng, Yong] Cent South Univ, Sch Traff & Transportat Engn, Changsha, Peoples R China.
[Liu, Weiguo] Geely Automobile Res Inst Co Ltd, Ningbo, Peoples R China.
通讯机构:
[Huang, Jing] H
Hunan Univ, State Key Lab Adv Design & Manufacture Vehicle Bo, Changsha, Peoples R China.
语种:
英文
关键词:
Pedestrian crashes;Geographic information system (GIS);Logit analysis;Tree-based model;Injury severity;Clusters
期刊:
Safety Science
ISSN:
0925-7535
年:
2020
卷:
127
页码:
104710
基金类别:
National Natural Science Foundation of China, ChinaNational Natural Science Foundation of China (NSFC) [51875049/51775178]; Hunan Science Foundation for Distinguished Young Scholars of China, China [2019JJ20017]; Science and Technology Project of Changsha of China, China [KQ1801055]; Hunan Provincial Innovation Foundation for Postgraduate, China [CX20190676]
机构署名:
本校为第一机构
院系归属:
汽车与机械工程学院
摘要:
Improving the pedestrian traffic environment is important for the sustainable development of the city. This study goes beyond the traditional analysis of traditional traffic accident police reports by integrating them with rich geographic information system (GIS) resources to analyze a sample of 791 pedestrian crashes that occurred in the main urban area of Changsha city, China, from 2014 to 2016. The use of Baidu or Google Street View maps improves the accident reports and facilitates the detailed description of the characteristics that are related to pedestrian crashes. The focus of the anal...

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