Analysis of risk factor for Marine leisure accidents using Bayesian Network

Since 2016, the incidence of marine leisure accidents has doubled approximately. In response to the growing societal call for accident prevention, the Central Marine Safety Tribunal and the Maritime Police Agency have been systematically managing safety accidents by publishing marine safety tribunal decisions, annual reports, and statistical data. In this study, based on these tribunal decisions, Bayesian Network analysis and accident fault ratios were utilized to analyze the risk factors contributing to accidents. The analysis revealed that in accidents involving collisions, negligence of boundaries (0.444) showed the highest priority, while accidents involving capsizing identified non-compliance with safe speed (0.384) and absence of distress signal equipment (0.384) as high priorities. In accidents leading to sinking, negligence of boundaries (0.8) was highlighted. For future, more detailed accident prevention plans in marine leisure activities, there is a need for legal and institutional research to improve marine accident tribunal decisions and restore data reliability