An integrated analysis method for critical human factors and paths in hazardous chemical storage accidents based on association rule mining and bayesian networks.

ABSTRACT: Hazardous chemicals possess significant inherent dangers, and accidents involving their storage can lead to severe consequences. Human factors are the primary contributors to such accidents; therefore, it is essential to conduct an in-depth study of the key human factors and critical pathways in hazardous chemical storage accidents to ensure the safe operation of hazardous chemical enterprises. This study proposes a combined research approach integrating an improved HFACS model, association rule mining, and Bayesian networks to perform a comprehensive analysis of accident case data, exploring causal relationships among human factors and identifying critical accident pathways. The results indicate that six highly sensitive human factors-resource management, organizational process, inadequat

SUBMITTER: Ma S 

PROVIDER: S-EPMC12752941 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature