Research on human factors cause chain of ship accidents based on multidimensional association rules

Abstract

In order to probe the mechanism of human causation factors in ship navigation accidents effectively, the Reason-SHEL model was introduced to establish human causation factors index system meanwhile the multidimensional association rule algorithm was applied to obtain the chains of human causation factors. Firstly, the human factors index system is constructed based on the Reason-SHEL model. Secondly, the established human factors index system is used to analysis the cause of the accidents, and the initial accident data collection is obtained. The Reason model combined with classical association rules algorithm to design multidimensional association rule algorithm, then the designed algorithm and C# programming language is used to mine accident frequent itemsets of human factors until the larger frequent itemset can't be found. Then we get the human factors cause chain of ship accidents. The case study shows that the above research method is effective. The above research methods provide new theoretical and technical means for excavating the cause chain of ship accidents and preventing ship traffic accidents.