Environmental impacts of Arctic ship** activities: A review

X Qi, Z Li, C Zhao, Q Zhang, Y Zhou - Ocean & Coastal Management, 2024‏ - Elsevier
Global warming has led to rapid warming in the Arctic region and continuous melting of ice
and snow, and the seaworthiness of the Arctic ship** routes is increasing significantly …

Knowledge graph construction based on ship collision accident reports to improve maritime traffic safety

L Gan, B Ye, Z Huang, Y Xu, Q Chen, Y Shu - Ocean & Coastal …, 2023‏ - Elsevier
As an important data source, marine accident investigation reports are frequently used for
accident analysis. However, it is hard to extract effective information since key knowledge is …

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

J Zhang, M **, 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] A machine learning method for the prediction of ship motion trajectories in real operational conditions

M Zhang, P Kujala, M Musharraf, J Zhang, S Hirdaris - Ocean Engineering, 2023‏ - Elsevier
This paper presents a big data analytics method for the proactive mitigation of grounding
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …

[HTML][HTML] An object-oriented Bayesian network model for the quantitative risk assessment of navigational accidents in ice-covered Arctic waters

S Fu, Y Zhang, M Zhang, B Han, Z Wu - Reliability Engineering & System …, 2023‏ - Elsevier
Merchant ship operations in the ice-covered Arctic waters may encounter traditional
navigational accident risks (ie, grounding, collision, etc.) and risks from sea ice, such as ship …

[HTML][HTML] Dynamic evolution of maritime accidents: Comparative analysis through data-driven Bayesian Networks

H Li, K Zhou, C Zhang, M Bashir, Z Yang - Ocean Engineering, 2024‏ - Elsevier
Maritime accident research has primarily focused on characteristics and risk analysis, which
often overlooks the evolution of the associated risk patterns over time. This study aims to …

[HTML][HTML] A systematic literature review of maritime transportation safety management

M Xu, X Ma, Y Zhao, W Qiao - Journal of Marine Science and …, 2023‏ - mdpi.com
Maritime transportation plays a critical role in global trade, and studies on maritime
transportation safety management are of great significance to the sustainable development …

[HTML][HTML] Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN

Y Guo, Y **, S Hu, Z Yang, Y **, B Han - Reliability Engineering & System …, 2023‏ - Elsevier
The risks involved in ship pilotage operations are characterized by random, uncertain and
complex features. To reveal the spatiotemporal evolution of ship collision risks in the …

[HTML][HTML] Accident data-driven human fatigue analysis in maritime transport using machine learning

S Fan, Z Yang - Reliability Engineering & System Safety, 2024‏ - Elsevier
In maritime transport, fatigue conditions can impair seafarer performance, pose a high risk of
maritime incidents, and affect safety at sea. However, investigating human fatigue and its …

[HTML][HTML] A data mining method to extract traffic network for maritime transport management

Z Liu, H Gao, M Zhang, R Yan, J Liu - Ocean & Coastal Management, 2023‏ - Elsevier
Maritime traffic network is essential for navigation efficiency and safety of the maritime
transport system. This study proposes a framework for extracting maritime traffic network …