A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

This paper proposes a data-driven transport modeling framework to assess the impact of freight departure time shift policies. We develop and apply the framework around the case of the port of Rotterdam. Container transport demand data and traffic data from the surrounding network are used as inputs. The model is based on a graph convolutional...

Predicting the effects of logistics innovations on freight systems: Directions for research

Logistics processes underlying freight transport are changing rapidly, driven by progress in information technology and an unparalleled growth of consumer involvement in supply chains. This development is also driving change in freight transport flows, by all modes of transport. We argue that an understanding of logistics innovations is a...

Measuring the relative importance of the logistics performance index indicators using Best Worst Method

Globalization has led to an increased need for international freight transportation and, with it, international logistics. To measure the performance of countries in terms of logistics, in 2007 the World Bank created the Logistics Performance Index (LPI), which uses six core indicators to rank countries with regard to their overall logistics...

Time-based logistics: An analysis of the relevance, causes and impacts