| contributor author | Tian, Yishuai | |
| contributor author | Ju, Chuanjing | |
| contributor author | Ning, Yan | |
| contributor author | Huang, Zhiheng | |
| date accessioned | 2026-08-20T11:50:41Z | |
| date available | 2026-08-20T11:50:41Z | |
| date copyright | 2026/02/23 | |
| date issued | 2026 | |
| identifier other | JMENEA.MEENG-7118.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312750 | |
| description abstract | AbstractThe 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | AI-Driven Construction Safety: A Game-Theoretic Analysis of Investment Willingness | |
| type | Journal Article | |
| journal volume | 42 | |
| journal issue | 3 | |
| journal title | Journal of Management in Engineering | |
| identifier doi | 10.1061/JMENEA.MEENG-7118 | |
| journal fristpage | 04026005-1 | |
| journal lastpage | 04026005-16 | |
| page | 16 | |
| tree | Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 003 | |
| contenttype | Fulltext | |
