Analysis of the distribution and causes of global maritime accidents

Yanyu Shi; Yuebin Zhou; Han Jiang; Chenyu Qian

doi:10.1117/12.3023853

9 April 2024 Analysis of the distribution and causes of global maritime accidents

Yanyu Shi, Yuebin Zhou, Han Jiang, Chenyu Qian

Proceedings Volume 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023); 1298910 (2024) https://doi.org/10.1117/12.3023853
Event: Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 2023, Xi'an, China

Abstract

Maritime safety has always been a topic of close interest to the shipping community. In order to accurately grasp the characteristics and key causative factors of global maritime accidents, improve navigation safety, and reduce the occurrence of maritime accidents, global maritime accident data from 2014 to 2022 were collected and processed from the Marine Casualties and Incidents (MCI) module of the Global Integrated Shipping Information System (GISIS). Firstly, statistical analysis is used to analyze the temporal characteristics of global maritime accidents, and then Gaussian mixture model (GMM) clustering is used to analyze the distribution characteristics of accidents. Finally, based on the C5.0 algorithm, the key causal factors of maritime accidents are excavated. The results show that most of the maritime accidents occurred in the eastern part of the North Atlantic Ocean and the western part of the Pacific Ocean; Crew and environmental factors are the main causes of maritime accidents. Based on the above results, targeted management suggestions are given to provide decision-making reference for the relevant maritime management organizations to implement on-site supervision more effectively and to ensure the safety of maritime navigation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yanyu Shi, Yuebin Zhou, Han Jiang, and Chenyu Qian "Analysis of the distribution and causes of global maritime accidents", Proc. SPIE 12989, Third International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2023), 1298910 (9 April 2024); https://doi.org/10.1117/12.3023853

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