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Wang, H., Chen, N., Wu, B. and Guedes Soares, C. (2024), Human and organizational factors analysis of collision accidents between merchant ships and fishing vessels based on HFACS-BN model, Reliability Engineering and System Safety, Vol. 249, 110201

Collision accidents between merchant ships and fishing vessels have attracted much attention owing to the relatively high frequency and serious consequences, at least in China. This paper proposes a hybrid methodology incorporating the Human Factors Analysis and Classification System and Bayesian network models to investigate the human and organizational factors of collision accidents between merchant ships and fishing vessels. The kernel of this proposed model is to identify human and organizational factors using a modified Human Factors Analysis and Classification System framework based on 139 historical collision accidents from 2013 to 2022 in China, to transform relationships of five levels in the Human Factors Analysis and Classification System to the graphical structure of the Bayesian network, and to apply the proposed model to identify the key influencing factors and causal chains. The developed model is further validated by three axioms. The key human and organizational factors at five levels are identified by sensitivity analysis, and eight significant causal chains for collision accidents between merchant ships and fishing vessels are derived by connecting the parent and child nodes according to the strength of influence. Consequently, the results are beneficial for preventing collision accidents between merchant ships and fishing vessels.

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