Addressing the frequent occurrence of collisions between commercial vessels and fishing vessels in Chi-na,an in-depth analysis was conducted on 189 typical collision accident investigation reports publicly released on the official website of the China Maritime Safety Administration over the past ten years.From these reports,25 risk factors were extracted,and the Pareto chart method was applied to identify the primary faults of both parties in-volved in the accidents.An accident tree model was constructed and successfully transformed into a Bayesian net-work model based on these risk factors.Seven major risk factors and the primary cause-and-effect chains leading to collisions between commercial vessels and fishing vessels were revealed by comparing the prior and posterior proba-bilities of the model through reasoning,indicating that human factors including improper lookout and lack of safety awareness played a significant role,thus are the crucial aspects in preventing collisions between commercial vessels and fishing vessels.The primary cause-and-effect chain leading to such collisions described as improper lookout→navigation error→ship handling error.The findings can serve as a basis for decision-making in preventing collisions between commercial vessels and fishing vessels,which have practical value in ensuring maritime traffic safety and promoting sustainable and healthy development of ocean fisheries.
关键词
海上交通安全/商渔船碰撞事故/帕累托图法/事故树(FTA)/贝叶斯网络(BN)/致因链
Key words
maritime traffic safety/collisions between commercial vessel and fishing vessel/Pareto chart method/fault tree analysis(FTA)/Bayesian network(BN)/causal chain
维普
万方数据