...Xuelai Li; Shu Wang; Changyong Liu; Yong Huang; Wei Lu Purpose This study aims to address a critical research gap in foundation pit collapse risk assessment by developing an innovative framework that integrates expert-guided knowledge with data-driven Bayesian Networks (BNs). Current methods often...

... of safety accidents are crucial for understanding the occurrence and development of accidents. Design/methodology/approach This study investigates 790 accident case reports in China from 2015 to 2022, utilizing text mining technology and Bayesian network structures to identify risk causal factors, risk...

..., the research outcomes provide theoretical foundations for accident prevention and prediction. Design/methodology/approach This study extracts text semantic features by coupling Word2Vec, latent Dirichlet allocation (LDA) topic model and the Bayesian network model to delve into the intricate couplings among...

... organisational safety climate factors and safety performance in an OSM context, with a view to developing better safety outcomes. Design/methodology/approach A Bayesian Network (BN) approach was adopted to uncover the probabilistic relationships among organisational safety climate factors. First...

... causal relationship and occurrence probability of these factors to develop a Bayesian network (BN) model; and (3) validating the accuracy of predictions from the proposed BN model via a case study. Design/methodology/approach A conceptual framework that includes three performance stages was used...