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Interval type-2 fuzzy TOPSIS approach with utility theory for subway station operational risk evaluation

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Abstract

As a distributing center for passengers, the subway station directly affects the entire subway system’s safe operation. Accurate operational subway station risk evaluation has an important significance in risk avoidance and accident emergency response. By analyzing the application of interval type-2 fuzzy TOPSIS (IT2-FTOPSIS) method in risk evaluation, the existing research lacks consideration of the utility function and cannot reflect the actual operational risk of the subway station. To overcome these shortcomings, we develop an IT2-FTOPSIS approach with a utility function and utilize it to evaluate the subway station’s operational risk. Finally, the example of Beijing Subway is selected to illustrate the developed risk evaluation approach’s performance. The results show that the same event has different effects on subway station safe operation at different times or spaces. Namely, the same event may have different risk utility values in different situations. Thus, the developed IT2-FTOPSIS model with a utility function can improve the risk evaluation’s accuracy and reflect the subway station’s operational risk state more reasonable than the previous method.

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Authors and Affiliations

  1. School of Automation, Nanjing University of Science and Technology, Nanjing, 210094, China

    Zhenyu Zhang

  2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China

    Xuejun Zhao & Yong Qin

  3. School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan, 250014, China

    Hongyun Si

  4. Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Lixin Zhou

Authors
  1. Zhenyu Zhang
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  2. Xuejun Zhao
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  3. Yong Qin
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  4. Hongyun Si
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  5. Lixin Zhou
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Correspondence to Lixin Zhou.

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Zhang, Z., Zhao, X., Qin, Y. et al. Interval type-2 fuzzy TOPSIS approach with utility theory for subway station operational risk evaluation. J Ambient Intell Human Comput 13, 4849–4863 (2022). https://doi.org/10.1007/s12652-021-03182-0

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