A Network Model for Identifying Key Causal Factors of Ship Collision

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 c...

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Main Authors: Jianzhou Liu, Huaiwei Zhu, Chaoxu Yang, Tian Chai
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/11/5/982
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author Jianzhou Liu
Huaiwei Zhu
Chaoxu Yang
Tian Chai
author_facet Jianzhou Liu
Huaiwei Zhu
Chaoxu Yang
Tian Chai
author_sort Jianzhou Liu
collection DOAJ
description 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.
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spelling doaj.art-b97671c290864d50a190c613eb1aa5282023-11-18T01:59:29ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-05-0111598210.3390/jmse11050982A Network Model for Identifying Key Causal Factors of Ship CollisionJianzhou Liu0Huaiwei Zhu1Chaoxu Yang2Tian Chai3College of Navigation, Jimei University, Xiamen 361021, ChinaCollege of Navigation, Jimei University, Xiamen 361021, ChinaCollege of Navigation, Jimei University, Xiamen 361021, ChinaCollege of Navigation, Jimei University, Xiamen 361021, ChinaIn 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.https://www.mdpi.com/2077-1312/11/5/982complex networkscascading failurescauses of accidentsship collisions
spellingShingle Jianzhou Liu
Huaiwei Zhu
Chaoxu Yang
Tian Chai
A Network Model for Identifying Key Causal Factors of Ship Collision
Journal of Marine Science and Engineering
complex networks
cascading failures
causes of accidents
ship collisions
title A Network Model for Identifying Key Causal Factors of Ship Collision
title_full A Network Model for Identifying Key Causal Factors of Ship Collision
title_fullStr A Network Model for Identifying Key Causal Factors of Ship Collision
title_full_unstemmed A Network Model for Identifying Key Causal Factors of Ship Collision
title_short A Network Model for Identifying Key Causal Factors of Ship Collision
title_sort network model for identifying key causal factors of ship collision
topic complex networks
cascading failures
causes of accidents
ship collisions
url https://www.mdpi.com/2077-1312/11/5/982
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