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Constructing and analyzing the causation chain network for ship collision accidents

Authors :
Tian Chai
Huaiwei Zhu
Liyang Peng
Junya Wang
Zhengping Fan
Shixiao Xiao
Jiarong Xie
Yanqing Hu
Source :
International Journal of Modern Physics C. 33
Publication Year :
2022
Publisher :
World Scientific Pub Co Pte Ltd, 2022.

Abstract

Many factors can lead to ship collision accidents, and identifying the importance of these factors is crucial for marine safety management and risk assessment. Are there rooted factors that are responsible for the presence of other factors? Notably, it is hard to analyze the causal relationship between these factors, due to the diversity and the interwoven of factors, especially when the size of the accident sample is small. To address this problem, an accident-cause network and a cause-inducing chain network are constructed in this paper by extracting 98 causes from 300 ship collision accidents. Our results show that there are six hidden rooted causes, i.e. the captain did not give any orders of night, the navigation alarm on the bridge was not on, communication failure between the officer on duty and the sailor on duty, no vessel traffic service was established, the shipping company does not fully grasp the navigation management regulations which is important to ship safety, and defects in bridge resource management, responsible for the presence of others among 98 causes. Our findings may shed some new lights on how to avoid ship collision accidents.

Details

ISSN :
17936586 and 01291831
Volume :
33
Database :
OpenAIRE
Journal :
International Journal of Modern Physics C
Accession number :
edsair.doi...........3bf2c51bec7865ca9f22213d98fa9a63
Full Text :
https://doi.org/10.1142/s0129183122501182