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CHEN Ding-jun, SUN Yun-hao, LI Jun-jie, NI Shao-quan. Construction of evaluation index system for emergency rescue capacity of rail transit under serious epidemic situation[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 129-138. doi: 10.19818/j.cnki.1671-1637.2020.03.012
Citation: CHEN Ding-jun, SUN Yun-hao, LI Jun-jie, NI Shao-quan. Construction of evaluation index system for emergency rescue capacity of rail transit under serious epidemic situation[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 129-138. doi: 10.19818/j.cnki.1671-1637.2020.03.012
shu

Construction of evaluation index system for emergency rescue capacity of rail transit under serious epidemic situation

doi: 10.19818/j.cnki.1671-1637.2020.03.012
  • 1.

    School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

  • 2.

    National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

  • 3.

    National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Funds:

National Key Research and Development Program of China 2016YFC0802208

National Natural Science Foundation of China 61703351

Science and Technology Plan Research and Development Project of China Railway Corporation K2018X012

Chengdu Science and Technology Project 2019-RK00-00019-ZF

More Information
  • Author Bio:

    CHEN Ding-jun(1982-), male, associated professor, PhD, chen-dingjun@163.com

  • Corresponding author: NI Shao-quan(1967-), male, professor, PhD, shaoquanni@163.com
  • Received Date: 2020-03-01
  • Publish Date: 2020-06-25
    Abstract
  • The pre-selection evaluation indicators of railway emergency rescue capability under serious epidemic situation were constructed from three aspects, including railway emergency preparation capability, railway emergency response capability and railway emergency recovery capability. In order to improve the scientificity, feasibility, independence and reliability of the indicators, the transitive closure method was used to select the indicators. The evaluation indicator system of railway emergency rescue capability under serious epidemic situation was established, including 3 first level indicators, 15 second level indicators and 49 third level indicators, and the indicator weights were calculated by analytic hierarchy process based on triangular fuzzy number. Analysis result shows that, in the first level indicators, the weights of railway emergency preparation capability, railway emergency response capability and railway emergency recovery capability are 0.26, 0.53 and 0.21, respectively, and the weight of railway emergency response capacity is the largest. During the epidemic period, the transportation of medical staff and materials should be guaranteed, and the effective measures are taken to prevent the further spread of the epidemic. Among the second level indicators of the railway emergency preparation capability, the weight of emergency materials indicator is the largest with the value of 0.29. In the preparation stage, it is necessary to prevent the situation from getting worse, do a good job in emergency materials storage, increase the proportion of emergency materials funds, clarify the right and responsibility of each emergency organization, and timely improve and update the emergency plan. The weight of operation recovery is 0.47, which accounts for the largest proportion in the second level indicators under the railway emergency recovery capacity. In the recovery stage, the number of operating trains should be increased, the information of operating trains should be open timely, and the resumption special train should be set up. The system provides a scientific and effective reference for improving the railway's emergency rescue capability under serious epidemic situations.

     

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