针对铁路行车人因事故受多因素交互影响的问题,提出了一种基于信息熵和DEMATEL法耦合的铁路行车人因事故关键因素实证分析方法。首先依据铁路行车人因事故认知行为模型,从感知、决策、计划和执行4个过程分析铁路行车人因事故的影响因素;然后综合运用信息熵和DEMATEL法构建关键因素量化识别模型,利用中心度和原因度两个参数分析铁路行车人因事故的关键影响因素;最后,结合2008—2013年铁路行车人因事故数据进行实证分析。结果表明,机车操作人员相关情形记忆失误、情景诊断失误、未严格执行操作规则和采取错误行动是铁路行车人因事故的关键影响因素。 Aiming at the problem that railway drivers are influenced by many factors interactively due to accident, this paper presents an empirical analysis method based on information entropy and DEMATEL method. Firstly, according to the cognition behavior model of railway driver due to accident, the influencing factors of railway driver due to accident are analyzed from the four processes of perception, decision-making, planning and execution. Then, the quantitative identification model of key factors is constructed by using information entropy and DEMATEL method. Degree and cause degree of the two parameters analysis of railway traffickers due to the accident of the key factors; Finally, combined with 2008-2013 railway drivers empirical analysis of the accident data. The results show that the locomotive operator related to the situation of memory failure, scene diagnosis errors, not strictly enforced the rules of operation and take the wrong action is the railway driver of the key factors for the accident.