Research Article
Cause Analysis of Ship Accidents Based on Chi-Square Test
@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
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.
