China Safety Science Journal ›› 2024, Vol. 34 ›› Issue (4): 160-166.doi: 10.16265/j.cnki.issn1003-3033.2024.04.2513

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Urban rail transit line operation safety evaluation based on combined weighting-extension cloud method

PAN Hanchuan1(), LIU Danyang1, ZHANG Yurui1, LIU Zhigang1, SHANG Bin2,**()   

  1. 1 School of Urban Railway Transportation,Shanghai University of Engineering Science,Shanghai 201620, China
    2 Business School,Shanghai Jian Qiao University,Shanghai 201306, China
  • Received:2023-11-05 Revised:2024-01-11 Online:2024-04-28 Published:2024-10-28
  • Contact: SHANG Bin

Abstract:

In order to solve the problems of lack of timeliness in the evaluation indicators of urban rail transit operation safety and some safety evaluation models ignoring the fuzzy boundaries of evaluation levels, a new evaluation index system for the operation safety of urban rail transit lines was reconstructed, including new indicators such as the implementation of infectious disease prevention and control measures by employees, the degree of cooperation between relevant units, and the completeness of prevention and control equipment. Secondly, the combination weighting of various indicators was carried out using the Best Worst Method (BWM) based on the minimization of dispersion and the anti-entropy weighting method. Then, the extension cloud was applied to determine the safety evaluation level of urban rail transit line operation. Finally, take Shanghai Metro Line 17 as an example for analysis. The results indicate that the comprehensive cloud correlation degrees of various indicators for the operational safety assessment of Shanghai Metro Line 17 are below 0.5, with a confidence level exceeding 0.99, among which the confidence levels for personnel factors, line factors, and management factors are all 1. This suggests that the employed indicator system and evaluation model are closely aligned with the current operational conditions of urban rail transit, accurately reflecting the safety levels of urban rail transit operations. Further analysis of the sensitivity of indicator values reveals that the reliability of station operational equipment has the most significant impact on the actual operational safety of the line. In practical operations, the degree of passenger cooperation in preventing and controlling infectious diseases at stations has the greatest potential to improve the indicator. It can help subway companies establish a more scientific and effective safety evaluation system to ensure the safety of daily line operations.

Key words: combination weighting, extension cloud model, urban rail transit, line operation, safety evaluation, infectious diseases

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