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Critical Hazards Identification and Prevention of Cascading Escalator Accidents at Metro Rail Transit Stations

Author

Listed:
  • Zhiru Wang

    (School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
    School of Business and Economics, Loughborough University, Loughborough LE11 3TU, UK)

  • Ran S. Bhamra

    (School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK)

  • Min Wang

    (Department of Safety Supervision, Beijing Subway Limited, Beijing 100044, China)

  • Han Xie

    (School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China)

  • Lili Yang

    (School of Business and Economics, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

Escalator accidents not only happen frequently but also have cascading effects. The purpose of this study is to block the formation of cascading accident networks by identifying and preventing critical hazards. A modified five-step task-driven method (FTDM) is proposed to break down passenger-related cascading escalator accidents. Three complex network parameters in complex network theory are utilized to identify critical and non-critical Risk Passenger Behavior (RPB) hazards and Other Hazards related with Risk Passenger Behavior (OH-RPB) in accident chains. A total of 327 accidents that occurred in the Beijing metro rail transit (MRT) stations were used for case studies. The results are consistent in critical and non-critical RPB and OH-RPB and prove that through combination of FTDM accident investigation model and complex network analysis method, critical and non-critical RPB and OH-RPB in a complicated cascading hazards network can be identified. Prevention of critical RPB can block the formation of cascading accident networks. The method not only can be used by safety manager to make the corresponding preventive measures according to the results in daily management but also the findings can guide the allocation of limited preventive resources to critical hazards rather than non-critical hazards. Moreover, the defects of management plan and product design can be re-examined according to the research results.

Suggested Citation

  • Zhiru Wang & Ran S. Bhamra & Min Wang & Han Xie & Lili Yang, 2020. "Critical Hazards Identification and Prevention of Cascading Escalator Accidents at Metro Rail Transit Stations," IJERPH, MDPI, vol. 17(10), pages 1-20, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3400-:d:357575
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    References listed on IDEAS

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    Cited by:

    1. Hongwei Li & Yuxi Wang & Yingying Xing & Xiaochen Zhao & Ke Wang, 2021. "Contributing Factors Affecting the Severity of Metro Escalator Injuries in the Guangzhou Metro, China," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
    2. Yan, Dongyang & Li, Keping & Zhu, Qiaozhen & Liu, Yanyan, 2023. "A railway accident prevention method based on reinforcement learning – Active preventive strategy by multi-modal data," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    3. Thomas J. Huggins & Lili Yang & Didier Sornette, 2021. "Introduction to the Special Issue on Cascading Disaster Modelling and Prevention," IJERPH, MDPI, vol. 18(9), pages 1-4, April.
    4. Wang, Wenhao & Wang, Yanhui & Wang, Guangxing & Li, Man & Jia, Limin, 2023. "Identification of the critical accident causative factors in the urban rail transit system by complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).

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