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.
Highlights
Atmospheric emissions arising from human activities are a common problem in medium and large conurbations and urban transport is often a major source of emissions [1,2]
A good example might be the problem with sustaining consolidation centres that often discontinue their activity as soon as the supporting project aimed at their establishing and start-up has expired [15]
While local authorities and inhabitants are the ones most affected by the negative effects of urban freight transport, it is the private companies that are to a large extent able to increase the stability of solutions that reduce them
Summary
Atmospheric emissions arising from human activities are a common problem in medium and large conurbations and urban transport is often a major source of emissions [1,2]. While local authorities and inhabitants are the ones most affected by the negative effects of urban freight transport, it is the private companies that are to a large extent able to increase the stability of solutions that reduce them Dablanc describes it as a badly organized urban logistics system—when delivering goods, shippers adapt to the imposed restrictions, but, from the cities’ point of view, the deliveries could be much more optimized in terms of their destinations, which would help reduce the number of vehicles entering the cities [19]. There are a number of city logistic solutions that involve modifying freight vehicles including alternative fuels such as electric vehicles that can be implemented [37]. The prerequisite for introducing e-mobility is a well-developed and well-managed EV charging infrastructure [47]
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