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基于FDA模型的地铁列车洪淹事故致因分析*
引用本文:夏侯遐迩,王一凡,陈佳龙,唐令怡,李启明.基于FDA模型的地铁列车洪淹事故致因分析*[J].中国安全生产科学技术,2022,18(10):24-30.
作者姓名:夏侯遐迩  王一凡  陈佳龙  唐令怡  李启明
作者单位:(东南大学 土木工程学院,江苏 南京 211189)
基金项目:* 基金项目: 国家自然科学基金项目(72101054,51978164);教育部人文社会科学研究青年基金项目(20YJCZH182)
摘    要:为了从安全信息视角探究地铁列车洪淹事故原因,基于FDA(Forecast-Decision-Action)事故致因模型和真实事故案例,构建由个体(地铁行车人员)、自组织(地铁运营企业)和他组织(应急主管部门)3个事故致因子模型组成的地铁列车洪淹事故FDA致因模型,并针对安全管理重要环节提出事故预防建议。研究结果表明:阻断事故致因主链或子链、保证必要安全信息充分且完备、防范安全欺骗行为,可有效预防地铁列车洪淹事故,通过实证案例分析验证FDA模型可显著提升地铁防洪应急管理水平。

关 键 词:FDA事故致因模型  地铁列车洪淹事故  应急管理  安全信息  事故链

Causes analysis of subway train flooded accidents based on FDA model
XIAHOU Xiaer,WANG Yifan,CHEN Jialong,TANG Lingyi,LI Qiming.Causes analysis of subway train flooded accidents based on FDA model[J].Journal of Safety Science and Technology,2022,18(10):24-30.
Authors:XIAHOU Xiaer  WANG Yifan  CHEN Jialong  TANG Lingyi  LI Qiming
Institution:(School of Civil Engineering,Southeast University,Nanjing Jiangsu 211189,China)
Abstract:In order to explore the causes of subway train flooded accidents from the perspective of safety information,based on the FDA (Forecast-Decision-Action) accident causation model and actual accident cases,a FDA accident causation model of subway train flooded accidents was constructed,which was composed of three accident causation sub-models including the individual (subway operation personnel),self-organization (subway operation enterprise) and other organizations (emergency management department).Moreover,the accident prevention suggestions were put forward aiming at the important links in safety management.The results showed that destroying the accident causation main chain or sub-chain,the guarantee of sufficient and complete necessary safety information and the prevention of safety fraud behavior could effectively prevent the occurrence of subway train flooded accidents.The actual case analysis validated that the model could significantly improve the emergency management level of subway flood control.
Keywords:Forecast-Decision-Action (FDA) accident causation model  subway train flooded accident  emergency management  safety information  accident chain
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