Abstract System safety, reliability and risk analysis are important tasks that are performed
throughout the system life-cycle to ensure the dependability of safety-critical systems …

Maritime transportation system has made a significant contribution to the development of the
world economy. However, with the growth of quantity, scale, and speed of ships, maritime …

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 …

In recent years, various deep learning architectures have been proposed to solve complex
challenges (eg spatial dependency, temporal dependency) in traffic domain, which have …

Maritime safety is critical as many maritime accidents involve catastrophic consequences,
including both fatalities and financial loss. To identify the factors which caused maritime …

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 …

Supplier selection is an important strategic decision in the context of supply chain
management. Existing literature on the subject of supplier selection is focused on evaluating …

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 …

Maritime safety has become one of the top concerns of the global maritime sector in recent
years. This paper explores the spatial patterns and characteristics of maritime accidents on a …