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A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020
Zhang, Jingyu1,2; Liu, Fangyan3; Chen, Zhenqi3; Yu, Zhenhua3; Xiao, Xingyao4; Shi, Lei3,5,6,7; Guo, Zizheng3,5,6,7
第一作者Jingyu Zhang
通讯作者邮箱[email protected] (z. guo)
心理所单位排序1
摘要

Collisions between trains and pedestrians are the primary cause of railway casualties. However, there remains a lack of comprehensive understanding regarding the underlying causes of this phenomenon. This study employs a multi-level approach to investigate the factors associated with the occurrence and severity of train-pedestrian collisions. The investigation is based on 2160 independent cases that occurred in southwest China from 2011 to 2020. Multiple contributing factors related to the victim, train, track, and socio-economic status of the surrounding district were examined, utilizing information from various sources. At the county level, several risk factors were identified in predicting the occurrence rate. These factors include higher population density and a greater number of normal-speed stations. However, the presence of high-speed train stations did not exhibit any significant impact. Additionally, the study found that regulations pertaining to protective fences were highly effective in reducing the occurrence rate. Regarding the prediction of collision severity, certain factors were found to increase the death rate. These factors include young men as victims, engaging in lying down or crossing behaviors, higher train speeds, gentle downhill slopes, lower education levels, and a higher proportion of the labor force. These findings emphasize the necessity of adopting a comprehensive perspective when examining the causes of train-pedestrian collisions. Furthermore, it underscores the significance of considering the notable differences between rapidly developing countries such as China and developed countries. Based on our findings, we also provide corresponding policy suggestions.

关键词Railway collision Train-pedestrian collision Multi-level analysis Mixed-effects models
2023-12-01
语种英语
DOI10.1016/j.aap.2023.107332
发表期刊ACCIDENT ANALYSIS AND PREVENTION
ISSN0001-4575
卷号193页码:12
期刊论文类型实证研究
收录类别SCI
资助项目National Natural Science Foundation of China[T2192932] ; National Natural Science Foundation of China[52072320]
出版者PERGAMON-ELSEVIER SCIENCE LTD
WOS关键词CRASH INJURY SEVERITY ; RAIL GRADE CROSSINGS ; POISSON REGRESSION ; ANALYTIC METHODS ; FATALITIES ; EPIDEMIOLOGY ; PATTERNS ; SUICIDE ; MODELS ; DECADE
WOS研究方向Engineering ; Public, Environmental & Occupational Health ; Social Sciences - Other Topics ; Transportation
WOS类目Ergonomics ; Public, Environmental & Occupational Health ; Social Sciences, Interdisciplinary ; Transportation
WOS记录号WOS:001086960200001
资助机构National Natural Science Foundation of China
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/46324
专题中国科学院行为科学重点实验室
通讯作者Guo, Zizheng
作者单位1.Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Dept Psychol, Beijing 100049, Peoples R China
3.Southwest Jiaotong Univ, Sch Transportat & Logist, Chengdu 610031, Peoples R China
4.Univ Calif Berkeley, Berkeley Sch Educ, Berkeley, CA 94720 USA
5.Natl Engn Lab Integrated Transportat Big Data Appl, Chengdu 611756, Peoples R China
6.Southwest Jiaotong Univ, Natl United Engn Lab Integrated & Intelligent Tran, Chengdu 611756, Peoples R China
7.Comprehens Transportat Key Lab Sichuan Prov, Chengdu 610031, Peoples R China
第一作者单位中国科学院行为科学重点实验室
推荐引用方式
GB/T 7714
Zhang, Jingyu,Liu, Fangyan,Chen, Zhenqi,et al. A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020[J]. ACCIDENT ANALYSIS AND PREVENTION,2023,193:12.
APA Zhang, Jingyu.,Liu, Fangyan.,Chen, Zhenqi.,Yu, Zhenhua.,Xiao, Xingyao.,...&Guo, Zizheng.(2023).A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020.ACCIDENT ANALYSIS AND PREVENTION,193,12.
MLA Zhang, Jingyu,et al."A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020".ACCIDENT ANALYSIS AND PREVENTION 193(2023):12.
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