中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (2): 134-138.doi: 10.16265/j.cnki.issn1003-3033.2018.02.023

• 安全工程技术科学 • 上一篇    下一篇

熵-TOPSIS-耦合协调法评价铁路危险品运输系统风险

黄文成, 帅斌** 教授, 孙妍, 李美霖, 庞璐   

  1. 西南交通大学 交通运输与物流学院,四川 成都 610031
  • 收稿日期:2017-10-28 修回日期:2017-12-20 出版日期:2018-02-28 发布日期:2020-11-17
  • 通讯作者: ** 帅斌(1967—),男,四川乐山人,教授,博士生导师,主要从事危险品运输路网建模与规划、危险品运输系统评价等方面的研究。E-mail:shuaibin@home.swjtu.edu.cn。
  • 作者简介:黄文成 (1992—),男,四川眉山人,博士研究生,主要研究方向为交通运输系统评价、危险品运输网络建模及仿真。E-mail:1261992248@qq.com。
  • 基金资助:
    国家自然科学基金资助(71173177),西南交通大学研究生创新实验实践项目(YC201507103)。

Evaluation of risk in railway dangerous goods transportation system by integrated entropy-TOPSIS-coupling coordination method

HUANG Wencheng, SHUAI Bin, SUN Yan, LI Meilin, PANG Lu   

  1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 610031, China
  • Received:2017-10-28 Revised:2017-12-20 Online:2018-02-28 Published:2020-11-17

摘要: 为定量获取铁路危险品运输系统风险情况,首先,将铁路危险品运输系统分为人、机、物、环、管5个子系统,并阐明各子系统风险因素;然后,综合利用熵权法、逼近理想解排序法(TOPSIS)和耦合协调度模型,提出熵-TOPSIS-耦合协调综合评价法;其次,应用该方法评价我国铁路危险品运输系统风险;最后,就评价结果提出改善建议。结果表明:近年来我国铁路危险品运输系统由有序向无序发展,安全性逐步提升,但人和管理子系统较为薄弱,需采取改善措施,降低耦合效果,保证运输安全。

关键词: 铁路危险品运输, 系统风险评价, 熵权法, 逼近理想解排序法(TOPSIS), 耦合协调度模型

Abstract: The paper uses a quantitative approach to evaluate the risk in railway dangerous goods transportation system. First, the railway dangerous goods transportation system is divided into five subsystems: personnel, machine, material, environment and management, and the risk factors in each subsystem are identified. Then, an entropy-TOPSIS-coupling coordination comprehensive evaluation method is worked out by integrating the entropy method, the TOPSIS and the coupling coordination degree model. Following this, the method is used to evaluate the risk in railway dangerous goods transportation system in China. Finally, some suggestions are put forward for improvement. The results show that the railway dangerous goods transportation system in China has become safer in recent years as it grows from ordered to disordered, but the personnel and management subsystems are relatively weak and need to be improved, thus to reduce the coupling effect and ensure transportation safety.

Key words: railway dangerous goods transportation, system risk evaluation, entropy method, technique for order preference by similarity to an ideal solution (TOPSIS), coupling coordination degree model

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