Data-Driven Analysis of the Causal Chain of Waterborne Traffic Accidents: A Hybrid Framework Based on an Improved Human Factors Analysis and Classification System with a Bayesian Network

In the context of economic globalization, waterborne transportation plays an important role in international trade and logistics. However, waterborne traffic accidents pose a severe threat to life, property safety, and the environment. To gain a deeper understanding of the causal mechanisms behind w...

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Bibliographic Details

Published in:	Journal of Marine Science and Engineering
Main Authors:	Xiangyu Yin, Yan Yan, Jiahao Wang, Hongzhuan Zhao, Qingyan Wu, Qi Xu
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Subjects:	waterborne traffic accidents causal chain analysis HFACS Bayesian network data-driven analysis
Online Access:	https://www.mdpi.com/2077-1312/13/3/393