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    Development of a Quantitative Assessment Method for Occupational Accident Risk of Construction Workers Using Resource and Cost Information in the Preconstruction Stage 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 012:;page 04025208-1
    Author(s): Lee, Minsu; Jeong, Jaewook; Lee, Jaehyun
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe construction industry is one of the high-risk industries. One of the reasons why the construction industry is risky is that it involves a mix of different types of work and different types of workers. These ...
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    Statistical Hypothesis Test Approach Considering Workers’ Thermal Comfort to Determine Nonworking Days in Different Climate Zones 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 009:;page 04025116-1
    Author(s): Mun, Hyeongjun; Jeong, Jaewook; Jeong, Jaemin; Kumi, Louis
    Publisher: American Society of Civil Engineers
    Abstract: AbstractConstruction duration is one of the three major elements in the construction industry, and accurate prediction is essential to minimize project variations stemming from inherent uncertainties. When evaluating ...
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    Development of Multimodal Recommender System for Advancing Design for Safety with Expert Validation 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 009:;page 04025114-1
    Author(s): Kumi, Louis; Jeong, Jaewook; Jeong, Jaemin; Mun, Hyeongjun
    Publisher: American Society of Civil Engineers
    Abstract: AbstractConstruction projects often struggle to integrate safety considerations effectively and identify hazards comprehensively during the design phase. Design for Safety (DfS) is a promising approach to embedding safety ...
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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(s): Son, Jaehui; Jeong, Jaewook; Jeong, Jaemin; Kumi, Louis; Mun, Hyeongjun
    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 ...
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    Establishment of Risk Management Groups in Construction Based on Workers’ Age and Accident Probability Using Unsupervised Learning 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004:;page 04025055-1
    Author(s): Oh, Joontaek; Jeong, Jaewook; Jeong, Jaemin; Yun, Bogeon; Mun, Hyeongjun; Kumi, Louis
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe construction industry is currently experiencing increased risks due to the aging workforce. As workers age, their physical capabilities often decline, leading to an increased likelihood of accidents. Despite ...
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