Details of Research Outputs

The building construction industry is one of the industries with the highest accident rate and the highest number of fatalities among China's industries. Risk assessment plays an effective role in avoiding safety incidents and economic losses. Construction safety is also emphasized in the Sustainable Development Goals issued by United Nations. However, traditional methods have shortcomings in accident chain estimation, quantitative analysis, and handling with uncertainty. This paper proposes an innovative quantitative analysis method and the scoring standard to calculate the safety score on the construction site based on the Bayesian Network and Analytic Hierarchy Process solution. The most likely potential causes and the accident chain can be determined. Consequently, the contribution rate of each risk factor to the accident could be calculated and quantify the degree of harm of various risks. Through this method, the real-time safety score can be calculated by inputting current risk factors that happened on the construction site. The risk factors in the site change dynamically during the construction progress. This solution shall help rapidly generate the security score to guide the decision making of the safety control. The safety incident reports during the construction period in China will be utilized as the data source for training, simulation, and verification. In future research, this method will establish a safety score curve providing the resource allocation suggestions to ensure the risks are controlled within an acceptable range.