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Sustainability 2017, 9(8), 1453; doi:10.3390/su9081453

Multi-Criteria Analysis of Electric Vans for City Logistics

1
Faculty of Computer Science, West Pomeranian University of Technology, Żołnierska 52 Str., 71-210 Szczecin, Poland
2
Faculty of Economics and Engineering of Transport, Maritime University of Szczecin, Pobożnego 11 Str., 70-507 Szczecin, Poland
3
Department of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia
*
Author to whom correspondence should be addressed.
Received: 5 June 2017 / Revised: 8 August 2017 / Accepted: 14 August 2017 / Published: 17 August 2017
(This article belongs to the Special Issue Sustainable Electric Power Systems Research)
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Abstract

Atmospheric emissions of anthropogenic origin are one of the most important problems in cities. A particularly discrete ecological footprint in urban environment is made by urban freight transport. This problem has become the key challenge for all stakeholder groups involved in freight transport in urban areas. Over the recent years, there has been a growing interest in using alternative fuel vehicles in urban logistics, including those equipped with electric drive systems. This paper presents a multi-criteria analysis (MCA) of selected electric vehicles (EVs) in the context of their application for the purposes of deliveries in cities. In methodological terms, we present a unique MCA-based approach for evaluation of Electric Freight Vehicles (EFVs). A successful attempt is made to build a multistep MCA procedure based on two carefully selected MCDA methods (PROMETHEE II and fuzzy TOPSIS) to handle both certain and uncertain data sets in a single decision process. In practical terms, we successfully demonstrate the usefulness of the proposed approach by creating a set of decision maker’s preference models (based on certain and uncertain data) of carefully selected EFVs and provide sensitivity and robustness analyses of the obtained solutions. View Full-Text
Keywords: city logistics; urban freight transport; electric freight vehicles (EFVs); sustainable transport; environmental friendly transport; multi-criteria decision making; multi-criteria model; PROMETHEE II method; fuzzy TOPSIS method city logistics; urban freight transport; electric freight vehicles (EFVs); sustainable transport; environmental friendly transport; multi-criteria decision making; multi-criteria model; PROMETHEE II method; fuzzy TOPSIS method
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wątróbski, J.; Małecki, K.; Kijewska, K.; Iwan, S.; Karczmarczyk, A.; Thompson, R.G. Multi-Criteria Analysis of Electric Vans for City Logistics. Sustainability 2017, 9, 1453.

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