Cause analysis of marine accidents based on HFACS and Bayesian networks

Hu Wang; Guozhu Jin

doi:10.1117/12.3024066

14 February 2024 Cause analysis of marine accidents based on HFACS and Bayesian networks

Hu Wang, Guozhu Jin

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 130183R (2024) https://doi.org/10.1117/12.3024066
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

In order to further analyze the potential causes and influencing factors of Marine traffic accidents in Yangshan Port waters, 87 Marine traffic accidents above grade occurred in Yangshan Port waters from 2015 to 2021 were taken as data samples. A comprehensive Marine accident Analysis framework HFACS-BN (Human Factors Analysis and Classification System (HFACS) and Bayesian Network (BN)) is established. In addition, the contribution degree and correlation of 4 primary nodes and 15 secondary nodes are quantified by the method of grey correlation degree analysis, and the possibility and severity of accidents are further analyzed to evaluate the potential impact of various factors on the occurrence of Marine traffic accidents. Finally, the reliability of the model is checked by cross-validation method. The results show that "the premise of unsafe behavior" is the key cause of Marine accidents and should be widely concerned. This study has important theoretical and practical significance for preventing and managing potential Marine accident risks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hu Wang and Guozhu Jin "Cause analysis of marine accidents based on HFACS and Bayesian networks", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 130183R (14 February 2024); https://doi.org/10.1117/12.3024066

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