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A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011–2020
Jingyu Zhang1,2; Fangyan Liu3; Zhenqi Chen3; Xingyao Xiao3; Xingyao Xiao4; Lei Shi3,5,6,7; Zizheng Guo3,5,6,7
第一作者Jingyu Zhang
通讯作者邮箱[email protected] (Z. Guo)
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
DOI10.1016/j.aap.2023.107332
发表期刊Accident Analysis and Prevention
卷号192页码:107332
期刊论文类型实证研究
收录类别SSCI
Q分类Q1
引用统计
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/46075
专题中国科学院行为科学重点实验室
作者单位1.CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, China
2.Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
3.School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
4.Berkeley School of Education, University of California, Berkeley, CA 94720, United States
5.National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu 611756, China
6.National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China
7.Comprehensive Transportation Laboratory of Sichuan Province, Chengdu 610031, 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
Jingyu Zhang,Fangyan Liu,Zhenqi Chen,等. A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011–2020[J]. Accident Analysis and Prevention,2023,192:107332.
APA Jingyu Zhang.,Fangyan Liu.,Zhenqi Chen.,Xingyao Xiao.,Xingyao Xiao.,...&Zizheng Guo.(2023).A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011–2020.Accident Analysis and Prevention,192,107332.
MLA Jingyu Zhang,et al."A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011–2020".Accident Analysis and Prevention 192(2023):107332.
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