Ports are pivotal nodes in supply chain and transportation networks, in which most of the
existing data remain underutilized. Machine learning methods are versatile tools to utilize …

Safety analysis according to the spatial distribution characteristics of maritime traffic
accidents is critical to maritime traffic safety management. An accident analysis framework …

Walking is the primary means of transportation. For assessing individual's health, travel
behaviour and benchmarking service levels of pedestrian infrastructure, walking/crossing …

Rapid changes in voyage orders and increased container throughput could lead to
undesirable situations such as incidents or accidents in maritime ports. As the demand for …

The purpose of this paper is to evaluate the sustainable efficiency of container terminals
(CTs). By the definition of United Nations Conference on Trade and Development …

Predicting the risk of maritime accidents is crucial for improving traffic surveillance and
marine safety. The availability of data sources and development of machine learning and …

This study is a driving analysis of the transfer data of container terminals based on
simulation interactive modeling technology. In the context of a container yard, a model was …

Container transport is the most environmentally friendly and sustainable way to transport
bulk cargo currently. The accurate prediction of container throughput is of great significance …

The opportunity for large amounts of open-for-public and available data is one of the main
drivers of the development of an information society at the beginning of the 21st century. In …

The technological shifts driven by Industry 4.0 and the impact of the COVID-19 pandemic
has ushered new challenges for seaports, necessitating a transformation in their information …