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dc.contributor.authorTian, Yishuai
dc.contributor.authorJu, Chuanjing
dc.contributor.authorNing, Yan
dc.contributor.authorHuang, Zhiheng
dc.date.accessioned2026-08-20T11:50:41Z
dc.date.available2026-08-20T11:50:41Z
dc.date.copyright2026/02/23
dc.date.issued2026
dc.identifier.otherJMENEA.MEENG-7118.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312750
dc.description.abstractAbstractThe integration of artificial intelligence (AI) into construction safety management presents considerable potential for improving safety performance. However, it remains unclear how the differing cost–benefit expectations, risk perceptions, and ...The graphical abstract presents a two-level framework illustrating how AI-driven investment decisions affect construction safety. The upper part shows the AI Investment Game among the government, AI suppliers, and contractors, influenced by prospect ...Practical ApplicationsAI-based tools can improve construction safety, but many organizations hesitate to invest because stakeholders face different costs, risks, and benefits. This study develops a behavioral game model for three players—government ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAI-Driven Construction Safety: A Game-Theoretic Analysis of Investment Willingness
dc.typeJournal Article
dc.journal.volume42
dc.journal.issue3
dc.journal.titleJournal of Management in Engineering
dc.identifier.doi10.1061/JMENEA.MEENG-7118
dc.journal.fristpage04026005-1
dc.journal.lastpage04026005-16
dc.page16
dc.treeJournal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 003
dc.contenttypeFulltext


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