Journal of Marine Science and Engineering (May 2023)

A Network Model for Identifying Key Causal Factors of Ship Collision

  • Jianzhou Liu,
  • Huaiwei Zhu,
  • Chaoxu Yang,
  • Tian Chai

DOI
https://doi.org/10.3390/jmse11050982
Journal volume & issue
Vol. 11, no. 5
p. 982

Abstract

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In the analysis of the causes of ship collisions, the identification of key causal factors can help maritime authorities to provide targeted safety management solutions, which is of great significance to the prevention of ship collisions. In order to identify the key causal factors leading to ship collisions, we first construct a network model of ship collisions, in which the nodes represent the causal factors, and the edges represent the interrelationship between the causal factors. Second, based on the constructed network model, we propose a successive safety analysis method. This method can quantify the importance of each causal factor, and the quantified results allow us to identify the key causal factors of ship collisions. Finally, we verify the validity of the model using numerical cases.

Keywords