YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Clarifying Unsafe Behaviors of Construction Workers through a Complex Network of Unsafe Behavior Chains

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 011::page 04024164-1
    Author:
    Qingfeng Meng
    ,
    Jinchun Zhu
    ,
    Zhen Li
    ,
    Heap-Yih Chong
    DOI: 10.1061/JCEMD4.COENG-14956
    Publisher: American Society of Civil Engineers
    Abstract: Numerous studies indicate that unsafe behaviors of construction workers (UBCW) are the direct causes of most construction safety incidents. To unveil the interconnections among unsafe behaviors and the underlying mechanisms of different accident types, this study extracts the unsafe behavior chains from accidents. Based on the theory of complex networks, we constructs both the whole network of UBCW and four subnetworks corresponding to different accident types by using unsafe behavior chains. The findings reveal that the degree distributions of all networks conform to truncated power-law distributions, highlighting the critical role of hub nodes in accident occurrences. Moreover, the whole network exhibits small-world characteristics, underscoring the need to address the propagation and clustering effects of unsafe behaviors, reassess risk management approaches, and devise targeted control strategies and measures. By analyzing the topological structures of the networks, this paper ranks the importance of different behaviors across various metrics and proposes tailored accident prevention recommendations through comparative analysis of different accident types. This research holds significant theoretical and practical implications for refining accident causality models and enhancing safety management practices at construction sites. However, the study has limitations, notably future studies should focus on the absence of specific construction accident databases and the unaddressed link between accident severity and unsafe behaviors.
    • Download: (2.150Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Clarifying Unsafe Behaviors of Construction Workers through a Complex Network of Unsafe Behavior Chains

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4304205
    Collections
    • Journal of Construction Engineering and Management

    Show full item record

    contributor authorQingfeng Meng
    contributor authorJinchun Zhu
    contributor authorZhen Li
    contributor authorHeap-Yih Chong
    date accessioned2025-04-20T10:12:14Z
    date available2025-04-20T10:12:14Z
    date copyright9/4/2024 12:00:00 AM
    date issued2024
    identifier otherJCEMD4.COENG-14956.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304205
    description abstractNumerous studies indicate that unsafe behaviors of construction workers (UBCW) are the direct causes of most construction safety incidents. To unveil the interconnections among unsafe behaviors and the underlying mechanisms of different accident types, this study extracts the unsafe behavior chains from accidents. Based on the theory of complex networks, we constructs both the whole network of UBCW and four subnetworks corresponding to different accident types by using unsafe behavior chains. The findings reveal that the degree distributions of all networks conform to truncated power-law distributions, highlighting the critical role of hub nodes in accident occurrences. Moreover, the whole network exhibits small-world characteristics, underscoring the need to address the propagation and clustering effects of unsafe behaviors, reassess risk management approaches, and devise targeted control strategies and measures. By analyzing the topological structures of the networks, this paper ranks the importance of different behaviors across various metrics and proposes tailored accident prevention recommendations through comparative analysis of different accident types. This research holds significant theoretical and practical implications for refining accident causality models and enhancing safety management practices at construction sites. However, the study has limitations, notably future studies should focus on the absence of specific construction accident databases and the unaddressed link between accident severity and unsafe behaviors.
    publisherAmerican Society of Civil Engineers
    titleClarifying Unsafe Behaviors of Construction Workers through a Complex Network of Unsafe Behavior Chains
    typeJournal Article
    journal volume150
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-14956
    journal fristpage04024164-1
    journal lastpage04024164-16
    page16
    treeJournal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 011
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian