A Human-Centered Risk Model for the Construction Safety

Abstract

The paper aims at quantifying the human errors in the construction work and analysing their potential impact on the construction accident. It proposes to analysis the risks in the construction safety with the human reliability analysis (HRA) method. The paper adopted a fuzzy Bayesian network (BNN) approach to incorporate the cognitive reliability and error analysis method (CREAM), which is one of the representative HRA method, into the construction safety analysis. This fuzzy BNN was developed into a human-centered risk model. The model used the intuitionistic fuzzy sets (IFS) to represent the expert's judgment and generated the probability distribution by the mass assignment theory. A case study on the fire accident in the construction of Xiamen Metro Line 2 in China was provided. The model has proved to be able to analysis the construction accident from the human factor perspective and elicit meaningful quantification results.

Keywords

• Cognitive science
• construction
• human factor
• safety management