摘要
作为城市轨道交通的重要支柱之一,地铁已经成为现代城市生活中不可缺少的一部分。一旦地铁运营发生事故,不仅会带来巨大的经济损失,也会威胁到人民的生命安全。本文将STAMP模型与三角模糊DEMATEL-ISM模型相结合,以更加深入地分析地铁运营事故,对地铁事故影响因素进行等级划分,绘制地铁事故影响因素多级阶梯图,深入剖析地铁事故因素之间的逻辑关系,从而有针对性地提出地铁事故的预防措施。以上海地铁10号线列车追尾事故为案例进行分析,结果表明:STAMP模型与三角模糊DEMATEL-ISM模型的结合解决了传统STAMP模型无法突出重点的缺陷,也解决了传统ISM模型对二因素影响关系分类的局限性,可以更加全面深入地分析该事故各致因因素间的影响结果,从而有针对性地预防事故的发生。
As an important pillar of urban rail transit,the metro has become an indispensable part of modern city life.Therefore,if accidents occur in the metro,they will not only bring huge economic losses,but also threaten people’s lives.In this paper,the STAMP and triangular fuzzy DEMATEL-ISM models are combined to analyze metro accidents in depth and classify the influencing factors into a multi-level ladder diagram.After these,precautions to prevent such metro accidents can be proposed.Finally,the result is obtained by analyzing the accident on Shanghai metro line 10.It is determined that the traditional STAMP model cannot highlight the key factors,and the traditional ISM has limitations in classifying the relationship between two factors.However,the combination of the STAMP and triangular fuzzy DEMATEL-ISM models can solve these problems and analyze the impact of the accident in depth for the purpose of accident prevention.
作者
于耀程
帅斌
黄文成
YU Yao-cheng;SHUAI Bin;HUANG Wen-cheng(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China)
出处
《交通运输工程与信息学报》
2021年第2期46-52,共7页
Journal of Transportation Engineering and Information
基金
国家自然科学基金(71173177)
西南交通大学研究生创新实验实践项目(YC201507103)
西南交通大学研究生学术培养提升计划(跨学科创新培育)专题项目(2018KXK04)
西南交通大学2018年优秀博士培育项目。
