[HTML][HTML] Research in marine accidents: A bibliometric analysis, systematic review and future directions

Y Cao, X Wang, Z Yang, J Wang, H Wang, Z Liu - Ocean Engineering, 2023 - Elsevier
In order to analyse the research evolution and knowledge frontier in the research of marine
accidents, 491 literatures on marine accidents in the Web of Science database from 2000 to …

A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

A Rawson, M Brito - Transport Reviews, 2023 - Taylor & Francis
Identifying and assessing the likelihood and consequences of maritime accidents has been
a key focus of research within the maritime industry. However, conventional methods utilised …

[HTML][HTML] Data-driven Bayesian network for risk analysis of global maritime accidents

H Li, X Ren, Z Yang - Reliability Engineering & System Safety, 2023 - Elsevier
Maritime risk research often suffers from insufficient data for accurate prediction and
analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime …

[HTML][HTML] A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation

X Wang, G Xia, J Zhao, J Wang, Z Yang… - Reliability Engineering & …, 2023 - Elsevier
In maritime transport, evacuation, escape and rescue play a crucial role in protecting
people's lives when a passenger ship is involved in a serious accident. The study aims to …

A framework for quantitative analysis of the causation of grounding accidents in arctic shipping

S Fu, Y Yu, J Chen, Y Xi, M Zhang - Reliability Engineering & System Safety, 2022 - Elsevier
Abstract The melting of Arctic Sea ice has significantly facilitated Arctic shipping. However,
such increased shipping has brought about higher maritime accidents in Arctic waters …

Analysis of factors affecting the severity of marine accidents using a data-driven Bayesian network

Y Cao, X Wang, Y Wang, S Fan, H Wang, Z Yang… - Ocean …, 2023 - Elsevier
A data-driven Bayesian network model (BN) is used to analyse the relationship between the
severity of marine accidents and relevant Accident Influential Factors (AIFs). Firstly, based …

Determining the critical risk factors for predicting the severity of ship collision accidents using a data-driven approach

H Lan, X Ma, W Qiao, W Deng - Reliability Engineering & System Safety, 2023 - Elsevier
Ship collision accidents often result in serious casualties and property losses. Predicting the
severity of ship collisions is beneficial to improve maritime transport safety. Therefore, this …

[HTML][HTML] A quantitative study of the factors influencing human evacuation from ships

S Fang, Z Liu, X Yang, X Wang, J Wang, Z Yang - Ocean Engineering, 2023 - Elsevier
Due to the constraints of various factors influencing human evacuation on board, it remains
a challenging problem to accurately quantify the impact of these factors on the evacuation …

A Bayesian network-based model for risk modeling and scenario deduction of collision accidents of inland intelligent ships

J Zhang, M Jin, C Wan, Z Dong, X Wu - Reliability Engineering & System …, 2024 - Elsevier
Safety is an important premise and foundation for the operation of intelligent ships. This
paper introduces a novel scenario analysis framework that employs disaster system theory …

[HTML][HTML] Shipping accident analysis in restricted waters: Lesson from the Suez Canal blockage in 2021

S Fan, Z Yang, J Wang, J Marsland - Ocean Engineering, 2022 - Elsevier
Global shipping flows through strategically important restricted waters such as Panama and
Suez Canals, and hence accidents occurring in the Canals will cause serious disruptions to …