Understanding the correlates of construction safety of high-rise buildings: A Bayesian perspective

Abstract

Safety in high-rise building construction is a critical concern, particularly in the densely populated urban areas of Vietnam. Understanding the complex interplay of factors influencing safety on construction sites is essential for reducing accidents and enhancing overall project outcomes. This study aims to identify and analyze key factors impacting safety in high-rise construction projects. Utilizing Bayesian Poisson Regression, the research investigates the relationship between various safety-related factors and the occurrence of non-fatal accidents. The study adopts a comprehensive approach, selecting potential safety factors from the existing literature and developing a rating system validated by site safety managers. Data were collected from 48 high-rise buildingprojects in Vietnam, constructed between 2019 and 2022. Bayesian Poisson Regression was employed to analyze the impact of 15 variables on safety outcomes, including management commitment, worker participation,training programs, emergency preparedness, and safety inspections. The findings underscore the multifacetednature of construction safety and the need for a holistic approach that involves strong safety training, engagedmanagement and workers, protective measures, and proactive safety audits. This research provides actionableinsights for practitioners and contributes to the academic discourse on construction safety, emphasizing theutility of Bayesian methods in unraveling complex safety dynamics in high-rise construction.