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dc.contributor.authorHe, Sihan
dc.contributor.authorLi, Jue
dc.contributor.authorLi, Minglei
dc.contributor.authorAntwi-Afari, Maxwell Fordjour
dc.date.accessioned2026-08-20T10:42:05Z
dc.date.available2026-08-20T10:42:05Z
dc.date.copyright2026/03/16
dc.date.issued2026
dc.identifier.otherJCEMD4.COENG-17349.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311142
dc.description.abstractAbstractHazard perception is essential for workers engaged in continuous construction equipment operations within dynamic, complex environments. Existing research lacks a comprehensive understanding of how internal and external factors, along with a ...Practical ApplicationsIn the construction industry, worker hazard perception and its associated errors represent a significant challenge, which is compounded by a lack of comprehensive understanding among managers. To address this issue, this study ...
dc.publisherAmerican Society of Civil Engineers
dc.titleModeling and Analyzing Workers’ Hazard Perception in Construction Equipment Operations: A Hierarchical Bayesian Cognitive Modeling Approach Integrating Multisource Data
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue5
dc.journal.titleJournal of Construction Engineering and Management
dc.identifier.doi10.1061/JCEMD4.COENG-17349
dc.journal.fristpage04026054-1
dc.journal.lastpage04026054-20
dc.page20
dc.treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 005
dc.contenttypeFulltext


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