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Article

A Network Model for Identifying Key Causal Factors of Ship Collision

by
Jianzhou Liu
,
Huaiwei Zhu
,
Chaoxu Yang
and
Tian Chai
*
College of Navigation, Jimei University, Xiamen 361021, China
*
Author to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2023, 11(5), 982; https://doi.org/10.3390/jmse11050982
Submission received: 14 April 2023 / Revised: 24 April 2023 / Accepted: 3 May 2023 / Published: 5 May 2023
(This article belongs to the Special Issue Maritime Security and Risk Assessments)
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Abstract

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: complex networks; cascading failures; causes of accidents; ship collisions complex networks; cascading failures; causes of accidents; ship collisions

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MDPI and ACS Style

Liu, J.; Zhu, H.; Yang, C.; Chai, T. A Network Model for Identifying Key Causal Factors of Ship Collision. J. Mar. Sci. Eng. 2023, 11, 982. https://doi.org/10.3390/jmse11050982

AMA Style

Liu J, Zhu H, Yang C, Chai T. A Network Model for Identifying Key Causal Factors of Ship Collision. Journal of Marine Science and Engineering. 2023; 11(5):982. https://doi.org/10.3390/jmse11050982

Chicago/Turabian Style

Liu, Jianzhou, Huaiwei Zhu, Chaoxu Yang, and Tian Chai. 2023. "A Network Model for Identifying Key Causal Factors of Ship Collision" Journal of Marine Science and Engineering 11, no. 5: 982. https://doi.org/10.3390/jmse11050982

APA Style

Liu, J., Zhu, H., Yang, C., & Chai, T. (2023). A Network Model for Identifying Key Causal Factors of Ship Collision. Journal of Marine Science and Engineering, 11(5), 982. https://doi.org/10.3390/jmse11050982

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