Digital Tools to Enhance Construction Safety & Health Management

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.

Authors

Publication Details

Published
2024-10-01
DOI
https://doi.org/10.21872/2024iise_6048
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Tools to Enhance Construction Safety & Health Management

Theodore Mayeshiba, Samanyu Raju Kakarlapudi
Occupational Health and Safety Research
article

Digital Tools to Enhance Construction Safety & Health Management

Theodore Mayeshiba, Samanyu Raju Kakarlapudi
article en

Abstract

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.

Openalex Percentile: Top 57%
Occupational Health and Safety Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.