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    Data-Driven Approach to Analyzing Factors Influencing Construction Accident Severity Using SHAP Analysis

    Source: Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 003::page 04025282-1
    Author:
    Son, Jaehui
    ,
    Jeong, Jaewook
    ,
    Jeong, Jaemin
    ,
    Kumi, Louis
    ,
    Mun, Hyeongjun
    DOI: 10.1061/JCEMD4.COENG-17206
    Publisher: American Society of Civil Engineers
    Abstract: AbstractDespite advances in construction safety research, existing studies face critical limitations, including severe data imbalance in accident severity classification and lack of interpretable machine-learning models for factor contribution analysis. ...
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      Data-Driven Approach to Analyzing Factors Influencing Construction Accident Severity Using SHAP Analysis

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311128
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    contributor authorSon, Jaehui
    contributor authorJeong, Jaewook
    contributor authorJeong, Jaemin
    contributor authorKumi, Louis
    contributor authorMun, Hyeongjun
    date accessioned2026-08-20T10:41:27Z
    date available2026-08-20T10:41:27Z
    date copyright2025/12/30
    date issued2026
    identifier otherJCEMD4.COENG-17206.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311128
    description abstractAbstractDespite advances in construction safety research, existing studies face critical limitations, including severe data imbalance in accident severity classification and lack of interpretable machine-learning models for factor contribution analysis. ...
    publisherAmerican Society of Civil Engineers
    titleData-Driven Approach to Analyzing Factors Influencing Construction Accident Severity Using SHAP Analysis
    typeJournal Article
    journal volume152
    journal issue3
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-17206
    journal fristpage04025282-1
    journal lastpage04025282-16
    page16
    treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 003
    contenttypeFulltext
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