Maritime transport plays an increasingly important role in global shipping. In the meantime, with the development of the shipping industry, the frequency of maritime traffic accidents is also increasing. More importantly, the increasing number of maritime traffic accidents with serious consequences in the past 20 years cannot be ignored. Analysis of major accidents can help identify trends and prevent future accidents. The data set of maritime traffic accidents from 2002 to 2022 is analyzed in this study, focusing on the ship size, ship age, ship type, and other factors of ships involved in major accidents. Regarding to the accidents that with serious consequences in the past 20 years, Bayesian rules and least square method are synthesized to model the historical accident data. This method compares the accident risks of different sizes and types of ships in pairs, calculates and analyzes the impact of each risk factor on the occurrence of serious accidents. The results indicate that the risk of major accidents on small and medium-sized ships is higher than that on large ships. It also indicates that improving the safety of auxiliary ships and bulk carriers is significant in preventing major accidents. The results are valuable for decision-makers in evaluating the level of navigation risk and reduce the frequency of future accidents.


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    Title :

    Quantitative analysis on Risk Influencing factors for Major Maritime Accidents from a Worldwide Perspective


    Contributors:


    Publication date :

    2023-08-04


    Size :

    549101 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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