In order to analyse the research evolution and knowledge frontier in the research of marine
accidents, 491 literatures on marine accidents in the Web of Science database from 2000 to …

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 …

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 …

Our research study indicates that, over the past few decades, the expected decrease in the
number of maritime accidents has not occurred. The statistics show the collision and contact …

With the growth of the shipping trade, inland water traffic is getting more prosperous than
ever. Meanwhile, the shipping risk in inland rivers increases gradually. In this paper, a path …

The safety of crude oil tankers is always a focus under the rapid development of oil trade
and maritime transportation. The purpose of this study is to investigate the critical factors that …

Effective maritime accident prediction will benefit both maritime safety management and the
insurance industry. Due to the complex non-linearity and non-stationarity nature of maritime …

The Brazilian Amazon is part of one of the largest river systems in the world, in which the
transport of cargo and passengers is commonplace. However, several accidents still occur …

The increasing number of bridges in inland waterways has been continuously posing the
potential for ship-bridge collision accidents. To reduce the probability of accidents in the …

In order to prevent safety risks, control marine accidents and improve the overall safety of
marine navigation, this study established a marine accident prediction model. The …