Risk coupling analysis of miners’ health-compromising behaviors: A multimethod fusion with practical application

Risk analysis of miners’ health-compromising behaviors is essential for advancing their overall health and well-being. This paper proposed a method for quantifying the risk coupling of miners’ health-compromising behaviors based on the Bayesian network (BN) model, N-K model, and cumulative risk (CR) model. First, the causation of miners’ health-compromising behaviors was analyzed, and the risk factors were systematically classified. Second, the types of risk coupling resulting from physical environmental risk factors, psychosocial environmental risk factors, and individual characteristics risk factors were delineated. Third, the BN model was constructed through a comprehensive risk analysis of miners’ health-compromising behaviors. Leveraging both the N-K model and the CR model, calculations were applied to the questionnaire data to identify the parameters influencing the risk coupling nodes within the developed BN. Finally, the established model undergoes validation through a three-axiom-based method. Subsequently, a sensitivity analysis of risk coupling types was conducted, and the influences of risk factors were quantified using mutual information. Employing the developed model, an uncertainty analysis was performed to explore the effects of failure rates of risk factors on the primary risk coupling types.