Article

Human and organizational factors analysis of collision accidents between merchant ships and fishing vessels based on HFACS-BN model

Reliability Engineering and System Safety

Wang, Hong; Chen, Ning; Guedes Soares, C. — 2024 — Elvesier

Key information

Authors:

Wang, Hong; Chen, Ning; Wu, Bing; Guedes Soares, C. (Carlos Guedes Soares)

Published in

September 2024

Abstract

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 networks to investigate the human and organizational factors of collision accidents between merchant ships and fishing vessels. The kernel of this model is to identify human and organizational factors using a modified Human Factors Analysis and Classification System framework based on 443 historical collision accidents from 2013 to 2023 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 Expectation Maximization algorithm for parameter learning to obtain the parameters of the Bayesian network. 56 relevant human and organizational factors are identified, including 11 special influencing factors related to collisions between merchant ships and fishing vessels. The proposed model is validated using two axioms, key influencing factors are identified through sensitivity analysis, and development paths of collision accidents are derived through the strength of influence analysis. Consequently, the findings of this study provide valuable insights for the Maritime Administration, fisheries supervisory agencies, shipping companies, fishermen, and other stakeholders in formulating effective strategies to prevent collision accidents between merchant ships and fishing vessels.

Publication details

Authors in the community:

Publication version

AO - Author's Original

Publisher

Elvesier

Link to the publisher's version

https://www.sciencedirect.com/science/article/pii/S0951832024002746?via%3Dihub

Title of the publication container

Reliability Engineering and System Safety

First page or article number

110201

Volume

249

ISSN

0951-8320

Fields of Science and Technology (FOS)

other-engineering-and-technologies - Other engineering and technologies

Keywords

  • Human and organizational factors
  • Merchant ships and fishing vessels
  • Collision accidents
  • Human factors analysis and classification system
  • Bayesian networks

Publication language (ISO code)

eng - English

Rights type:

Open access