Review shows digital tools improve safety outcomes in construction, suggesting enhanced situational awareness through IoT and AI.
Construction environments continue to utilize more automated equipment which potentially place workers in harm's way. Maintaining a safety culture has become a challenge with the increase of inexperienced workers entering employers' existing safety and health management systems. Transient, temporary, contract and gig workers entering the workforce to replace an experienced aging workforce is a reality that must be addressed. This review shows a training regimen supplemented with digital IoT tools and AI which enhance situational awareness of both workers and moving equipment. Finally, an introduction of a predictive safety process model will be introduced. Leveraging the data gleaned from the IoT devices, a model is built that may predict unsafe patterns of travel, worker / equipment conflict and enhance hazard analysis. The crux of safety management is about anticipating hazardous conditions and mitigating them.
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Mayeshiba et al. (2024) studied this question.
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