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    Causal Factors of Near Misses and Accidents in Urban Railway Construction: A Complex Network Approach

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 007::page 04025081-1
    Author:
    Pan Zhang
    ,
    Michael C. P. Sing
    ,
    Shengyu Guo
    ,
    Isabelle Y. S. Chan
    ,
    Ivan W. H. Fung
    DOI: 10.1061/JCEMD4.COENG-15706
    Publisher: American Society of Civil Engineers
    Abstract: Near misses occur much more frequently than accidents, often by factors of hundreds or thousands, and they typically share common causes with accidents. It is believed that eliminating the causes of near misses can make a significant contribution toward accident prevention. However, existing studies on causal factor analysis have mainly focused on accidents, with little attention paid to near misses. To address this gap, this study aims to explore causal factors of near misses and accidents in urban railway construction using a complex network approach. A two-layer urban railway construction safety risk network (URCSRN) was established based on the chain relationships in near misses and accidents, and its topological features were analyzed and revealed. Besides, the network robustness assessment was conducted through random and deliberate attacks. Results showed that both the accident layer network and the near-miss layer network in the URCSRN were scale-free networks. A positive degree correlation existed between the accident layer network and the near-miss layer network. A total of 11 critical factors leading to near misses and accidents were identified and found to exhibit spatial-temporal and worker typer-related characteristics. This study is beneficial for revealing the same contributing factors of near misses and accidents and the occurrence patterns of these factors among diverse worker types, in different construction phases and areas. It can provide practice guidance for safety managers to take safety measures to prevent similar near misses and potential accidents. Also, this study offers empirical evidence to support the common cause hypothesis and improves accident causation theory. Using a multilayer network to examine near misses and accidents simultaneously provides a new perspective for construction incident analysis.
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      Causal Factors of Near Misses and Accidents in Urban Railway Construction: A Complex Network Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4307261
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    contributor authorPan Zhang
    contributor authorMichael C. P. Sing
    contributor authorShengyu Guo
    contributor authorIsabelle Y. S. Chan
    contributor authorIvan W. H. Fung
    date accessioned2025-08-17T22:39:47Z
    date available2025-08-17T22:39:47Z
    date copyright7/1/2025 12:00:00 AM
    date issued2025
    identifier otherJCEMD4.COENG-15706.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307261
    description abstractNear misses occur much more frequently than accidents, often by factors of hundreds or thousands, and they typically share common causes with accidents. It is believed that eliminating the causes of near misses can make a significant contribution toward accident prevention. However, existing studies on causal factor analysis have mainly focused on accidents, with little attention paid to near misses. To address this gap, this study aims to explore causal factors of near misses and accidents in urban railway construction using a complex network approach. A two-layer urban railway construction safety risk network (URCSRN) was established based on the chain relationships in near misses and accidents, and its topological features were analyzed and revealed. Besides, the network robustness assessment was conducted through random and deliberate attacks. Results showed that both the accident layer network and the near-miss layer network in the URCSRN were scale-free networks. A positive degree correlation existed between the accident layer network and the near-miss layer network. A total of 11 critical factors leading to near misses and accidents were identified and found to exhibit spatial-temporal and worker typer-related characteristics. This study is beneficial for revealing the same contributing factors of near misses and accidents and the occurrence patterns of these factors among diverse worker types, in different construction phases and areas. It can provide practice guidance for safety managers to take safety measures to prevent similar near misses and potential accidents. Also, this study offers empirical evidence to support the common cause hypothesis and improves accident causation theory. Using a multilayer network to examine near misses and accidents simultaneously provides a new perspective for construction incident analysis.
    publisherAmerican Society of Civil Engineers
    titleCausal Factors of Near Misses and Accidents in Urban Railway Construction: A Complex Network Approach
    typeJournal Article
    journal volume151
    journal issue7
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15706
    journal fristpage04025081-1
    journal lastpage04025081-17
    page17
    treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 007
    contenttypeFulltext
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