Maritime transport is intimately tied to the global economy and trade. Research on maritime
transport risk is of great significance to prevent maritime accidents and enhance the safety of …

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 …

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 …

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 …

This paper aims to develop an innovative model based on optimal control to optimize the
ship** path of the fleet, including icebreakers and following ships in continuous time and …

The paper proposes a probabilistic framework for assessing the risk of ships based on a
hybrid approach and multiple data sources. A Bayes-based network learning approach uses …

This paper aims to develop a novel model to assess the risk factors of maritime supply
chains by incorporating a fuzzy belief rule approach with Bayesian networks. The new …

Ocean and marine environments face the adverse effects of climate change and
environmental pollution. Maritime transportation, one of the most severe marine pollution …

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 …