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Electrification of Urban Freight Transport – a Case Study of the Food Retailing Industry

Martins-Turner, Kai; Grahle, Alexander; Nagel, Kai; Göhlich, Dietmar

Decarbonisation is a major challenge for the coming decades, for all industries, including the transport sector. Battery electric vehicles are a potential solution for the transport sector to reduce its carbon impact. Asides from the question whether there is sufficient supply of electric vehicles for freight transport, it is also unclear whether battery-powered trucks meet the practical requirements, especially in terms of their driving range. To investigate this, synthetic tours were generated by solving a Vehicle Routing Problem (VRP). This also generates the fleet size and composition depending on a set of different vehicle types. The network with underlying traffic conditions comes from an publicly available transport model. The generated tours are then simulated with an open-source transport simulation (MATSim), for both diesel and battery electric vehicles (BEVs). In a sensitivity study, two different purchase prices were considered for calculating vehicle costs. The case study uses a model of the food retailing industry for the city of Berlin. 56% of the tours can be driven without recharging. When recharged one time, 90% of the tours are suitable for BEVs. The costs for transporting the goods will increase by 17 to 23% depending on the assumption for the purchase prices for the BEVs. Using a well-to-wheel calculation, the electrification of all tours leads to a reduction of greenhouse gas (GHG) emissions by 26 to 96% depending on the assumed electricity production.
Published in: The 9th International Workshop on Agent-based Mobility, Traffic and Transportation Models, (ABMTRANS) April 6 - 9, 2020, Warsaw, Poland, Elsevier
Creative Commons Attribution NonCommercial NoDerivatives 4.0 (CC BY-NC-ND)Creative Commons Attribution NonCommercial NoDerivatives 4.0 (CC BY-NC-ND)Creative Commons Attribution NonCommercial NoDerivatives 4.0 (CC BY-NC-ND)Creative Commons Attribution NonCommercial NoDerivatives 4.0 (CC BY-NC-ND)

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