Abstract: A high number of maritime accidents are caused due to human errors ,which are further influenced by personal factors ,environmental factors ,ship factors and management factors .A general statistical approach can only link maritime accidents to simple human behavior problem ;however ,it cannot further establish the relationship between the human error and other real influencing factors .It is very challenging for researchers to set up the relationship between the human fault and other influencing factors that cause the human error due to the insufficient data ,improper research meth-od ,and limited research which is only confined to the relationship between human error and a single factor .In this paper a model is established by using data mining association rules to analyze the relationship between the human fault and its environment influencing factors .This paper collects 100 domestic and international maritime accident investigation re-ports ,and uses data mining association rules to explore the relationships between human factor and environmental factor . Practices prove that human factor and environmental factor are the major factors causing maritime accidents .