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A multi-level analysis on the causes of train-pedestrian collisions in Southwest China 2011-2020.
Zhang, Jingyu; Liu, Fangyan; Chen, Zhenqi; Yu, Zhenhua; Xiao, Xingyao; Shi, Lei; Guo, Zizheng.
Affiliation
  • Zhang J; CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Liu F; School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
  • Chen Z; School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
  • Yu Z; School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China.
  • Xiao X; Berkeley School of Education, University of California, Berkeley, CA 94720, United States.
  • Shi L; School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China; National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu 611756, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Sout
  • Guo Z; School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China; National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu 611756, China; National United Engineering Laboratory of Integrated and Intelligent Transportation, Sout
Accid Anal Prev ; 193: 107332, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37801815
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Traffic / Pedestrians Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male Country/Region as subject: Asia Language: En Journal: Accid Anal Prev Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidents, Traffic / Pedestrians Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans / Male Country/Region as subject: Asia Language: En Journal: Accid Anal Prev Year: 2023 Document type: Article Affiliation country: China