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Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL

Shi, J, Liu, Z, Feng, Y, Wang, X, Zhu, H, Yang, Z, Wang, J and Wang, H (2024) Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL. Ocean Engineering, 305. ISSN 0029-8018

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Abstract

To manage and control ship collision risk, this paper aims to develop a quantitative risk analysis approach based on complex networks and Decision-making Trial and Evaluation Laboratory (DEMATEL), to study the evolution of ship collision accidents. Firstly, through the search, selection and analysis of accident investigation reports of ship collisions in the world, 46 Risk Influential Factors (RIFs) were identified, and a network model for the evolution of ship collision was established. Secondly, a risk analysis of the evolution model for ship collision accidents was conducted by utilizing the topology characteristics of the complex network theory. Thirdly, a robustness analysis was used to identify 10 key RIFs involved in ship collisions from a global network perspective, and the grey relation analysis technique was employed to verify the key RIFs. Finally, the DEMATEL method was utilized to identify 11 key RIFs from a perspective of causality, and corresponding risk control measures were proposed to mitigate those key RIFs. The research results provide theoretical support for identifying the key RIFs and controlling the risk transmission of ship collision, and have practical significance for preventing the occurrence of ship collision accidents and ensuring the safe navigation of ships.

Item Type: Article
Uncontrolled Keywords: Maritime safety; Marine accident; Accident causation theory; Complex networks; Grey relation analysis; DEMATEL; Risk analysis; 0405 Oceanography; 0905 Civil Engineering; 0911 Maritime Engineering; Civil Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Divisions: Engineering
Publisher: Elsevier
SWORD Depositor: A Symplectic
Date Deposited: 09 Oct 2024 14:03
Last Modified: 09 Oct 2024 14:15
DOI or ID number: 10.1016/j.oceaneng.2024.117965
URI: https://researchonline.ljmu.ac.uk/id/eprint/24485
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