This paper summarises the advanced techniques adopted for the analysis of human and
organizational factors, which are the predominant factors in maritime accidents, and the …

There is a strong belief among researchers that humans contribute to some 80% of industrial
accidents, including those occurring in shipping. However, few sources give actual evidence …

This paper presents a big data analytics method for the evaluation of ship-ship collision risk
in real operational conditions. The approach makes use of big data from Automatic …

Maritime traffic flow complexity is the factor that presents in most existing maritime safety
analysis methods. It is considered as one of the main influencing factors affecting maritime …

Collision accidents may lead to significant asset damage and human casualties. This paper
introduces a direct analysis methodology that makes use of Automatic Identification System …

A data-driven Bayesian network (BN) is used to investigate the effect of human factors on
maritime safety through maritime accident analysis. Its novelties consist of (1) manual …

AIS data include ship spatial-temporal and motion parameters which can be used to
excavate the deep-seated information. In this article, an interpretable knowledge-based …

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 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 …

The risks involved in ship pilotage operations are characterized by random, uncertain and
complex features. To reveal the spatiotemporal evolution of ship collision risks in the …