Analyzing the Causation of Collision Accidents Between Merchant and Fishing Vessels in China’s Coastal Waters by Integrating Association Rules and Complex Networks

The frequent occurrence of collision accidents between merchant and fishing vessels in China’s offshore waters not only threatens human lives and property, but also disrupts shipping and fishing activities and may cause marine environmental pollution. To effectively reduce such accidents and increase maritime safety in Chinese coastal waters, this study integrates association rules with complex networks to develop a directed weighted network of causal factors. Grounded theory and the Human Factors Analysis and Classification System (HFACS) are applied to identify and categorize causal factors from 152 collision accident investigation reports. Potential causal relationships are mined using the association rule, which is then applied to construct the causal network. Finally, the topological characteristics of the network are analyzed. The results reveal that serious negligence in lookout, failure to assess collision risks properly, and failure to adopt a safe speed significantly impact collision accidents. These findings highlight the necessity of implementing targeted preventive measures to address critical factors. This study provides valuable insights for maritime stakeholders to develop effective strategies.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-05-29
DOI
https://doi.org/10.3390/jmse13061086
Citations
3
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
3.44
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article

Analyzing the Causation of Collision Accidents Between Merchant and Fishing Vessels in China’s Coastal Waters by Integrating Association Rules and Complex Networks

Weiliang Qiao, Qiaoling Du, Ruiwen Zhang, Xiaoxue Ma
3 citations
Journal of Marine Science and Engineering
Maritime Navigation and Safety
3.44
article

Analyzing the Causation of Collision Accidents Between Merchant and Fishing Vessels in China’s Coastal Waters by Integrating Association Rules and Complex Networks

Weiliang Qiao, Qiaoling Du, Ruiwen Zhang, Xiaoxue Ma
article en
3 citations

Abstract

The frequent occurrence of collision accidents between merchant and fishing vessels in China’s offshore waters not only threatens human lives and property, but also disrupts shipping and fishing activities and may cause marine environmental pollution. To effectively reduce such accidents and increase maritime safety in Chinese coastal waters, this study integrates association rules with complex networks to develop a directed weighted network of causal factors. Grounded theory and the Human Factors Analysis and Classification System (HFACS) are applied to identify and categorize causal factors from 152 collision accident investigation reports. Potential causal relationships are mined using the association rule, which is then applied to construct the causal network. Finally, the topological characteristics of the network are analyzed. The results reveal that serious negligence in lookout, failure to assess collision risks properly, and failure to adopt a safe speed significantly impact collision accidents. These findings highlight the necessity of implementing targeted preventive measures to address critical factors. This study provides valuable insights for maritime stakeholders to develop effective strategies.

Journal of Marine Science and EngineeringVol. 13(6)
Dalian Maritime University (CN)
Openalex Percentile: Top 8%
Maritime Navigation and Safety
3.44
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Analyzing the Causation of Collision Accidents Between Merchant and Fishing Vessels in China’s Coastal Waters by Integrating Association Rules and Complex Networks — Weiliang Qiao, Qiaoling Du, et al. · Journal of Marine Science and Engineering (2025) | TGRS Research Map | TGRS