Early Warning of Safety Risks in Prefabricated High-Rise Construction

Tingting Guo, Ting Zhang () and Jia-Ao Wang
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Tingting Guo: Liaoning HuLuDao, Liaoning Engineering Technology University, School of Business Administration
Ting Zhang: Liaoning HuLuDao, Liaoning Engineering Technology University, School of Business Administration
Jia-Ao Wang: Liaoning HuLuDao, Liaoning Engineering Technology University, School of Business Administration

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 259-270 from Springer

Abstract: Abstract As intelligent construction technology advances in the field of high-rise prefabricated construction, there has been a notable improvement in the level of construction safety management. However, construction safety incidents, especially those related to unsafe behaviors of construction personnel, still occur and are a key factor affecting the overall safety level. In response to this situation, this study collected 100 cases of safety incidents in high-rise prefabricated construction in China and refined them through an improved Human Factors Analysis and Classification System (HFACS) framework. This framework was used to deeply analyze the root causes of unsafe behaviors in high-rise prefabricated construction, constructing a structural system that includes multiple levels of influencing factors. By employing expert interviews and qualitative analysis methods using the Interpretive Structural Modeling (ISM), the intrinsic connections between influencing factors at different levels were revealed, further refining the interaction mechanisms of risk factors. The study developed a Bayesian Network (BN) model that reflects the factors influencing unsafe behaviors of construction personnel. The study shows that the probabilities of operator misjudgment, poor workspace planning, and machine-related threats are 29%, 30%, and 26%, respectively. Particularly noteworthy is that among the top-level influencing factors, government regulation and policy enforcement have the most significant effect on standardizing the behaviors of construction enterprises. Sensitivity analysis shows that these have the highest impact, highlighting the central role of policy orientation and legal enforcement in preventing unsafe construction behaviors.

Keywords: Safety Engineering; Prefabricated Construction; Risk Analysis and Prediction; Bayesian Network (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-570-6_28

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