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    Quantitative Analysis of Risk Influential Factors of Evacuation Accidents for Passenger Ships

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 001::page 04024088-1
    Author:
    Zhongyuan Liu
    ,
    Xinjian Wang
    ,
    Wenjie Cao
    ,
    Jiashi Wang
    ,
    Siming Fang
    ,
    Sean Loughney
    DOI: 10.1061/AJRUA6.RUENG-1454
    Publisher: American Society of Civil Engineers
    Abstract: With the increasing use of passenger ships in passenger transport and tourism sighting, the risk of evacuation accidents is higher. To prevent such accidents and reduce casualties, a quantitative analysis method for identifying and evaluating risk influential factors (RIFs) of evacuation accidents is developed by integrating complex network (CN), decision-making trial and evaluation laboratory (DEMATEL), and interpretive structural modeling (ISM) methods. Firstly, 27 RIFs are identified by extracting accident casual chain from global emergency evacuation reports of large passenger ships, and a network model for evacuation accidents is constructed. Secondly, CN is used to conduct a topological analysis of these identified RIFs from a global perspective, and robustness analysis under different attack modes is used to validate the ranking of these RIFs. Finally, DEMATEL and ISM are used to establish a multilayer structure model, 12 key RIFs are identified from causal relationship and structural perspectives, and countermeasures are proposed to mitigate these RIFs. By identifying these key RIFs, this study aims to deepen the understanding of evacuation risk management, provide a theoretical basis for emergency decision makers, optimize the evacuation process, and reduce casualties.
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      Quantitative Analysis of Risk Influential Factors of Evacuation Accidents for Passenger Ships

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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorZhongyuan Liu
    contributor authorXinjian Wang
    contributor authorWenjie Cao
    contributor authorJiashi Wang
    contributor authorSiming Fang
    contributor authorSean Loughney
    date accessioned2025-04-20T09:59:16Z
    date available2025-04-20T09:59:16Z
    date copyright11/23/2024 12:00:00 AM
    date issued2025
    identifier otherAJRUA6.RUENG-1454.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303784
    description abstractWith the increasing use of passenger ships in passenger transport and tourism sighting, the risk of evacuation accidents is higher. To prevent such accidents and reduce casualties, a quantitative analysis method for identifying and evaluating risk influential factors (RIFs) of evacuation accidents is developed by integrating complex network (CN), decision-making trial and evaluation laboratory (DEMATEL), and interpretive structural modeling (ISM) methods. Firstly, 27 RIFs are identified by extracting accident casual chain from global emergency evacuation reports of large passenger ships, and a network model for evacuation accidents is constructed. Secondly, CN is used to conduct a topological analysis of these identified RIFs from a global perspective, and robustness analysis under different attack modes is used to validate the ranking of these RIFs. Finally, DEMATEL and ISM are used to establish a multilayer structure model, 12 key RIFs are identified from causal relationship and structural perspectives, and countermeasures are proposed to mitigate these RIFs. By identifying these key RIFs, this study aims to deepen the understanding of evacuation risk management, provide a theoretical basis for emergency decision makers, optimize the evacuation process, and reduce casualties.
    publisherAmerican Society of Civil Engineers
    titleQuantitative Analysis of Risk Influential Factors of Evacuation Accidents for Passenger Ships
    typeJournal Article
    journal volume11
    journal issue1
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.RUENG-1454
    journal fristpage04024088-1
    journal lastpage04024088-13
    page13
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 001
    contenttypeFulltext
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