An Integrated Framework for Advancing Construction Safety Management: A Systematic Review

Alkaissy M. and Arashpour M.

Chapter 3 in Building a Body of Knowledge in Modern Methods of Construction and Offsite Construction, 2025, pp 37-65 from World Scientific Publishing Co. Pte. Ltd.

Abstract: This chapter presents a comprehensive and systematic review of machine learning applications in construction safety risk management, following the PRISMA guidelines and Scientometric analysis. The aim of the study is to integrate post-accident analysis, pre-accident analysis, and real-time analysis approaches to develop a holistic construction safety risk management plan. A total of 32 relevant articles were meticulously examined, and their contributions to the three categories of accident analysis were assessed. The PRISMA method guided the selection of articles, ensuring a transparent and systematic review process, while bibliographic analysis facilitated the identification of patterns and trends in the literature. A unique framework was proposed that combines the three approaches for a more comprehensive and holistic construction safety risk management plan. By implementing this data-driven framework, the construction industry can reduce accidents, improve safety outcomes, and promote a proactive safety culture. Future research directions include refining and validating the framework using real-world data, exploring novel machine learning methods, and investigating practical implementation strategies in construction projects.

Keywords: Modern Methods Of Construction; Offsite Construction; Prefabrication; Digital Technology; Sustainability; Circular Economy; Supply Chain; Procurement; Health & Safety; Risk; Capacity and Capability; Offsite Manufacturing; Preassembly; Innovation (search for similar items in EconPapers)
JEL-codes: D24 L7 L74 M11 (search for similar items in EconPapers)
Date: 2025
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