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Artificial intelligence for occupational health and safety management in construction

Perera, Savindi; Paton-Cole, Vidal; Gao, Shang; Francis, Valerie; Urhal, Pinar; Manu, Patrick; Da Silva Bartolo, Paulo Jorge; Cheung, Clara; Yunusa-Kaltungo, Akilu; Babalola, Akinloluwa

Authors

Savindi Perera

Vidal Paton-Cole

Shang Gao

Valerie Francis

Pinar Urhal

Patrick Manu Patrick.Manu@uwe.ac.uk
Professor of Innovative Construction and Project Management

Paulo Jorge Da Silva Bartolo

Clara Cheung

Akilu Yunusa-Kaltungo

Akinloluwa Babalola



Contributors

Shang Gao
Editor

Paulo Jorge Silva Bartolo
Editor

Valerie Francis
Editor

Anil Sawhney
Editor

Abstract

Reducing occupational safety and health (OSH) incidents has been an area of significant importance to the construction industry. The industry remains one of the most dangerous, with significant occupational fatalities and injuries. Artificial intelligence (AI), including deep learning and machine learning, shows promising potential to reduce injuries and avoid fatalities with the possibility for data acquisition of construction site activities and operations. To systematically assess the studies on AI aimed at improving construction safety, this research investigated 192 published journal articles (in English) within the Scopus database to determine the current research gaps and future work suggested by the publications. The analysis revealed a positive trend in publications in this area. Publications were also analysed based on the country of origin of the research and the host journal. The use of algorithms and the development of algorithms to address OSH issues were the most frequently used research methods, while the use of AI for visualisation and identification of hazards were the most frequent applications. Some research gaps and recommendations for future research are also discussed in the chapter.

Citation

Perera, S., Paton-Cole, V., Gao, S., Francis, V., Urhal, P., Manu, P., …Babalola, A. (2023). Artificial intelligence for occupational health and safety management in construction. In P. Manu, S. Gao, P. J. S. Bartolo, V. Francis, & A. Sawhney (Eds.), Handbook of Construction Safety, Health and Well-being in the Industry 4.0 Era (154-168). London: Taylor & Francis (Routledge). https://doi.org/10.1201/9781003213796-15

Publication Date 2023
Deposit Date Jun 8, 2023
Publisher Taylor & Francis (Routledge)
Pages 154-168
Book Title Handbook of Construction Safety, Health and Well-being in the Industry 4.0 Era
Chapter Number 14
ISBN 9781003213796
DOI https://doi.org/10.1201/9781003213796-15
Public URL https://uwe-repository.worktribe.com/output/10848161
Publisher URL https://www.taylorfrancis.com/chapters/edit/10.1201/9781003213796-15