Use of HFACS and Bayesian network for human and organizational factors analysis of ship collision accidents in the Yangtze River

Human and organizational factors are the contributing factors for collision accidents from the historical data. To discover the key influencing factor, a human factor analysis and classification system based Bayesian Network model is proposed in this paper. The kernel of this proposed model is first...

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Bibliographic Details
Published inMaritime policy and management Vol. 49; no. 8; pp. 1169 - 1183
Main Authors Li, Yaling, Cheng, Zhiyou, Yip, Tsz Leung, Fan, Xiaobiao, Wu, Bing
Format Journal Article
LanguageEnglish
Published Abingdon Routledge 17.11.2022
Taylor & Francis Ltd
Subjects
Accident data
Accidents
Analysis
Axioms
Bayesian analysis
Bayesian network
Bayesian theory
Classification
Collision avoidance
contributing factors
Decision making
Factor analysis
History
human and organizational factor
human factor analysis and classification system
Human factors
Networks
Organizational aspects
Prevention
Probability theory
Rivers
Sensitivity analysis
Ship collision
Ships
Yangtze River
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Summary:Human and organizational factors are the contributing factors for collision accidents from the historical data. To discover the key influencing factor, a human factor analysis and classification system based Bayesian Network model is proposed in this paper. The kernel of this proposed model is first to derive the unsafe acts from the perspective of perception, decision-making, and execution failures using the collision avoidance scheme, to classify the human factors into five categories using the modified human-factor analysis and classification system, and to transform the influencing factors of HOFs in the modified HFACS into the graphical structure of the Bayesian network. The results are verified from historical collision accidents data in the Yangtze River, and sensitivity analysis is carried out to validate the axioms of the Bayesian network. From further analysis, the causation factor and global causation chain of ship collision accidents can be derived. Consequently, the results are beneficial for the prevention and control of ship collision accidents in the Yangtze River by reducing human and organization factors.
ISSN:0308-8839
1464-5254
DOI:10.1080/03088839.2021.1946609