Risk Analysis of Pirate Attacks on Southeast Asian Ships Based on Bayesian Networks

Chen, Qiong and Zhang, Jinsheng and Gao, Jiaqi and Lau, Yui-Yip and Liu, Jieming and Poo, Mark Ching-Pong and Zhang, Pengfei (2024) Risk Analysis of Pirate Attacks on Southeast Asian Ships Based on Bayesian Networks. Journal of Marine Science and Engineering, 12 (7). p. 1088. ISSN 2077-1312

Preview

Text
jmse-12-01088-v2.pdf - Published Version
Available under License Creative Commons Attribution.
Download (3MB) | Preview

Official URL: https://www.mdpi.com/2077-1312/12/7/1088

Abstract

As a bridge for international trade, maritime transportation security is crucial to the global economy. Southeast Asian waters have become a high-incidence area of global piracy attacks due to geographic location and complex security situations, posing a great threat to the development of the Maritime Silk Road. In this study, the factors affecting the risk of pirate attacks are analyzed in depth by using the Global Ship Piracy Attacks Report from the IMO Global Integrated Shipping Information System (GISIS) database (i.e., 2013–2022) in conjunction with a Bayesian Network (BN) model, and the Expectation Maximization algorithm is used to train the model parameters. The results show that piracy behaviors and the ship’s risk are the key factors affecting the risk of pirate attacks, and suggestions are made to reduce the risk of pirate attacks. This study develops a theoretical basis for preventing and controlling the risk of pirate attacks on ships, which helps maintain the safety of ship operations.

Item Type:	Article
Additional Information and Comments:	© 2024 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Faculty / Department:	Faculty of Business, Law and Criminology > Liverpool Hope Business School
Depositing User:	Ching Pong Poo
Date Deposited:	03 Sep 2024 10:36
Last Modified:	03 Sep 2024 10:36
URI:	https://hira.hope.ac.uk/id/eprint/4350

Actions (login required)

View Item

Altmetric