Data-driven analysis of urban logistics policies based on vehicle traces in the Copenhagen capital region

Abstract

This paper presents an analysis of stop sequence data of nine logistics operators from different sectors that are active in the Copenhagen area. Based on these data, an easily adaptable and transposable data-driven modeling pipeline based on trajectory rerouting is presented. It allows to rapidly assess the potential impact of different urban logistics policies on the respective operators. Using the model, an estimation of energy and emission reductions due to the implementation of three different Zero Emission Zone proposals and a Microhub in the City of Copenhagen is presented.