Risk Assessment of Passenger Behaviors That Influence Accident Type and Severity in Metro Operation.

IF 2.8 3区心理学 Q2 PSYCHOLOGY, CLINICAL Psychology Research and Behavior Management Pub Date : 2023-01-01 DOI:10.2147/PRBM.S419194

Ying Lu, Yi Zhang, Xuepeng Jiang, Yong Wang

{"title":"Risk Assessment of Passenger Behaviors That Influence Accident Type and Severity in Metro Operation.","authors":"Ying Lu, Yi Zhang, Xuepeng Jiang, Yong Wang","doi":"10.2147/PRBM.S419194","DOIUrl":null,"url":null,"abstract":"Background: The unsafe behavior of passengers frequently causes metro operation accidents. This research aims to establish a model for evaluating the risk of unsafe behavior among subway passengers and for assessing the severity of different types of accidents caused by passenger unsafe behavior.Methods: A risk assessment model that combines the Interaction Matrix (IM) model with a Monte Carlo algorithm was established to quantitatively test the risk of unsafe behavior among passengers. Based on the initial data of 234 cases, the behavioral risks in accidents were simulated, and the resulting risks follow a normal distribution. After analyzing the differences in behavioral risk distribution characteristics, the targeted risk mitigation countermeasures were obtained.Results: Results showed that there are 12 kinds of unsafe behaviors related to 4 metro operation accident types. Among them, crowded stampede caused by four kinds of passengers' unsafe behavior has the highest risk mean (μ) of 5.14, followed by escalator injury (4.72), pinched by a shielding barrier (4.42) and fall injury (4.14).Conclusion: The severity of different types of accidents caused by different unsafe behaviors of passengers was obtained, which can provide a basis for targeted risk mitigation strategies and measures.","PeriodicalId":20954,"journal":{"name":"Psychology Research and Behavior Management","volume":"16 ","pages":"3697-3715"},"PeriodicalIF":2.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/0a/40/prbm-16-3697.PMC10494999.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychology Research and Behavior Management","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.2147/PRBM.S419194","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Background: The unsafe behavior of passengers frequently causes metro operation accidents. This research aims to establish a model for evaluating the risk of unsafe behavior among subway passengers and for assessing the severity of different types of accidents caused by passenger unsafe behavior.

Methods: A risk assessment model that combines the Interaction Matrix (IM) model with a Monte Carlo algorithm was established to quantitatively test the risk of unsafe behavior among passengers. Based on the initial data of 234 cases, the behavioral risks in accidents were simulated, and the resulting risks follow a normal distribution. After analyzing the differences in behavioral risk distribution characteristics, the targeted risk mitigation countermeasures were obtained.

Results: Results showed that there are 12 kinds of unsafe behaviors related to 4 metro operation accident types. Among them, crowded stampede caused by four kinds of passengers' unsafe behavior has the highest risk mean (μ) of 5.14, followed by escalator injury (4.72), pinched by a shielding barrier (4.42) and fall injury (4.14).

Conclusion: The severity of different types of accidents caused by different unsafe behaviors of passengers was obtained, which can provide a basis for targeted risk mitigation strategies and measures.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

地铁运营中影响事故类型和严重程度的乘客行为风险评估

背景:乘客的不安全行为是地铁运营事故频发的原因。本研究旨在建立地铁乘客不安全行为风险评估模型，并对乘客不安全行为引发的不同类型事故的严重程度进行评估。方法:建立相互作用矩阵(IM)模型与蒙特卡罗算法相结合的风险评估模型，定量检验乘客不安全行为的风险。基于234例的初始数据，模拟了事故中的行为风险，结果风险服从正态分布。通过分析行为风险分布特征的差异，得出有针对性的风险缓解对策。结果:4种地铁运营事故类型中存在12种不安全行为。其中，4种乘客不安全行为导致的拥挤踩踏事故风险均值(μ)最高，为5.14，其次是扶梯伤害(4.72)、被遮挡物夹伤(4.42)和坠落伤害(4.14)。结论:得出不同乘客不安全行为导致的不同类型事故的严重程度，为有针对性地制定风险缓解策略和措施提供依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Psychology Research and Behavior Management Multiple-

CiteScore

4.50

自引率

4.70%

发文量

341

审稿时长

16 weeks

期刊介绍： Psychology Research and Behavior Management is an international, peer-reviewed, open access journal focusing on the science of psychology and its application in behavior management to develop improved outcomes in the clinical, educational, sports and business arenas. Specific topics covered in the journal include: -Neuroscience, memory and decision making -Behavior modification and management -Clinical applications -Business and sports performance management -Social and developmental studies -Animal studies The journal welcomes submitted papers covering original research, clinical studies, surveys, reviews and evaluations, guidelines, expert opinion and commentary, case reports and extended reports.