Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China

Research Article

Cause Analysis of Ship Accidents Based on Chi-Square Test

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  • @INPROCEEDINGS{10.4108/eai.6-1-2023.2330244,
        author={Xintong  Liu and Qing  Yu and Yutian  Hu and Wenting  Lu and Aipan  Zhanga and Xujiang  Bo},
        title={Cause Analysis of Ship Accidents Based on Chi-Square Test},
        proceedings={Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Changsha, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2023},
        month={6},
        keywords={chi-square test methods use cause analysis marine accident},
        doi={10.4108/eai.6-1-2023.2330244}
    }
    
  • Xintong Liu
    Qing Yu
    Yutian Hu
    Wenting Lu
    Aipan Zhanga
    Xujiang Bo
    Year: 2023
    Cause Analysis of Ship Accidents Based on Chi-Square Test
    BDEDM
    EAI
    DOI: 10.4108/eai.6-1-2023.2330244
Xintong Liu1, Qing Yu1, Yutian Hu1, Wenting Lu1, Aipan Zhanga1, Xujiang Bo1,*
  • 1: Jimei University
*Contact email: xujianbo_0@hotmail.com

Abstract

Studying historical accidents is of paramount significance to safeguard maritime transport. This study investigates the causation factors and their interactions from collected maritime accidents, which happened in the coastal water of China, to provide effective references for accident prevention. A chi-square test is used to assess the degree of association between two factors so that the potential causal relationships among major factors can be revealed. Then, the importance of each factor is ranked to identify the critical factors based on historical accident records. The research findings are expected to improve the understanding of the causation of the maritime accident while supporting maritime safety assessments and ship management.