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Cause Mechanism of Metro Collapse Accident Based on Risk Coupling

Author

Listed:
  • Ming Fang

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Yi Zhang

    (Institute of Survey and Design, Guangdong Architectural Design & Research Institute Co., Ltd., Guangzhou 510010, China)

  • Mengjue Zhu

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Shaopei Chen

    (School of Public Administration, Guangdong University of Finance & Economics, Guangzhou 510320, China)

Abstract

A metro collapse accident is the main type of metro construction accidents. How to scientifically analyze the key cause factors and their interaction coupling mechanism of the existing metro collapse accidents is crucial to reduce the occurrence of metro collapse. Based on the Fault Tree Analysis (FTA) and the Behavior security “2-4” Model (24Model), the FTA-24Model accident cause analysis framework was constructed by combing their respective characteristics. To be more specific, a logical analysis program was developed to analyze the accident causes by the four-module analysis method. An empirical study was carried out by taking the “12.1” major cave-in accident at the construction site of the Metro Line 11 in Guangzhou as an example. Compared with the case accident report, the FTA-24Model framework analysis method can not only systematically deduce the logical relationship between the accident causes and provides a panorama of the accident cause chain and its evolution process, but also identify the key causes of accidents and their coupling risk effects. For a metro construction accident, this method can not only effectively investigate the accident causes, but also provide a reference for the formulation of prevention strategies.

Suggested Citation

  • Ming Fang & Yi Zhang & Mengjue Zhu & Shaopei Chen, 2022. "Cause Mechanism of Metro Collapse Accident Based on Risk Coupling," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2102-:d:748361
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    References listed on IDEAS

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    1. Zhou, Ying & Li, Chenshuang & Ding, Lieyun & Sekula, Przemyslaw & Love, Peter E.D. & Zhou, Cheng, 2019. "Combining association rules mining with complex networks to monitor coupled risks," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 194-208.
    2. Miller, Mahalia & Baker, Jack W., 2016. "Coupling mode-destination accessibility with seismic risk assessment to identify at-risk communities," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 60-71.
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    Cited by:

    1. Yuanwen Han & Jiang Shen & Xuwei Zhu & Bang An & Fusheng Liu & Xueying Bao, 2024. "Study on the Mechanism of Safety Risk Propagation in Subway Construction Projects," Sustainability, MDPI, vol. 16(2), pages 1-27, January.
    2. Xiaoxiao Geng & Yongwei Lv & Li Zhao & Yingchen Wang, 2023. "Measurement and Simulation of Risk Coupling in Port Hazardous Chemical Logistics," IJERPH, MDPI, vol. 20(5), pages 1-27, February.
    3. Jeong-Hun Won & Hyeon-Ji Jeong & WonSeok Kim & Seungjun Kim & Sung-Yong Kang & Jong Moon Hwang, 2022. "Mechanisms Analysis for Fatal Accident Types Caused by Multiple Processes in the Workplace: Based on Accident Case in South Korea," IJERPH, MDPI, vol. 19(18), pages 1-23, September.

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