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  • 标题:Analysis and Research on Causes of Metro Accidents Based on 24 Model
  • 本地全文:下载
  • 作者:Xiaoxiao Tang ; Chenlei Li ; Lei Li
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:253
  • 页码:1-5
  • DOI:10.1051/e3sconf/202125301063
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:In order to strengthen the operational safety of the metro system, a 24 model is proposed for metro accident in this study, which is conducive to scientifically and efficiently carrying out metro accident analysis and targeted preventive measures. Referring to the 24 model, the elements that threaten the safety of metro operations are classified, and then performed in individual-level and organizational-level causal analysis one by one on “Shanghai Metro 9·27 Accident”, including unsafe human behavior, unsafe material condition, safety knowledge, safety awareness, safety management system, safety culture. The analysis results indicate that the various cause modules defined by the 24 model accomplish metro accident analysis systematically and accident prevention should start from identifying the unsafe material conditions, controlling the unsafe human behaviors, learning safety knowledge, cultivating safety consciousness, perfecting safety management system and so on.
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