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 …

Towards system-theoretic risk management for maritime transportation systems: A case study of the yangtze river estuary

S Fu, S Gu, Y Zhang, M Zhang, J Weng - Ocean Engineering, 2023 - Elsevier
This paper presents a novel framework for system-theoretic risk management of maritime
transportation systems (MTS) based on the principles of formal safety assessment. The …

Analyzing ship collision accidents in China: A framework based on the NK model and Bayesian networks

X Meng, H Li, W Zhang, XY Zhou, X Yang - Ocean Engineering, 2024 - Elsevier
Maritime accidents are frequent in China, with collisions constituting a significant portion,
leading to substantial casualties, financial losses, and environmental harm. Analyzing …

Causation analysis of seafarers' unsafe acts: An investigation on individual features and safety consciousness

H Zhuang, S Fu - Ocean Engineering, 2023 - Elsevier
Studies on the effect of individual attributes and the internal influence of organizational
management on individuals are important to enrich maritime accident research dominated …

[HTML][HTML] A STAMP-Game model for accident analysis in oil and gas industry

H Meng, X An, D Li, S Zhao, E Zio, X Liu, J Xing - Petroleum Science, 2024 - Elsevier
Accidents in engineered systems are usually generated by complex socio-technical factors.
It is beneficial to investigate the increasing complexity and coupling of these factors from the …

Cause analysis and management strategies for ship accidents: A Bayesian decision support model

J Xue, P Yang, Z Wang, Q Li, H Hu - Ocean Engineering, 2025 - Elsevier
Addressing the root causes of ship accidents and enhancing operational decision-making is
essential. This study develops an enhanced Bayesian decision support model integrating …

Coupling and causation analysis of risk influencing factors for navigational accidents in ice-covered waters

S Fu, M Wu, Y Zhang, M Zhang, B Han, Z Wu - Ocean Engineering, 2025 - Elsevier
Accidents tend to be formed by several factors coupled together, and the special geographic
location and environment of the ice-covered waters create a more complex coupling …

Predicting types of human-related maritime accidents with explanations using selective ensemble learning and SHAP method

H Lan, S Wang, W Zhang - Heliyon, 2024 - cell.com
Maritime accidents frequently lead to severe property damage and casualties, and an
accurate and reliable risk prediction model is necessary to help maritime stakeholders …

Dynamic Multi-Period Maritime Accident Susceptibility Assessment Based on AIS Data and Random Forest Model

W Zhu, S Wang, S Liu, L Yang, X Zheng, B Li… - Journal of Marine …, 2023 - mdpi.com
Maritime accidents, such as ship collisions and oil spills, directly affect maritime
transportation, pollute the water environment, and indirectly threaten life and property safety …

Standing Watch: Baselining Predictable Events That Influence Maritime Operations in the Context of the UN's Sustainable Development Goals

B Lambert, J Merten - Sustainability, 2024 - mdpi.com
The authors present a practical framework for assessing seasonal events that may influence
maritime operations, seeking to tie in discussions about climate change adoption to maritime …