Abstract Systems models are the mainstream paradigm of accident models. STAMP is one of
the most popular systems models, which has been applied in most industries. Therefore, the …

Various national maritime authorities and international organizations show strong interest to
implement risk management processes to decision making for shipping accident prevention …

Abstract Maritime Autonomous Surface Ships (MASS) have recently drawn significant
attention throughout academia, governments, and industry. One of the requirements for …

This study aims to explore the relationship between the severity of marine accidents and
influencing factors. An ordered logistic regression model is used to reflect the relationship …

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 …

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 …

The paper assesses the contribution of specific Risk Influencing Factors towards the
occurrence of ship collision accidents. The approach adopted is inspired by the Cox …

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 …

Marine accidents are complex processes in which many factors are involved and contribute
to accident development. For this reason, effectively analyse what combination of factors …

With the diminishing extents of Arctic sea ice, Arctic shipping becomes increasingly attractive
for the shipping industry. Voyages along Arctic sea routes have seen a significant increase …