| Title |
Applying Multi-Criteria Analysis of Electrically Powered Vehicles Implementation in Urban Freight Transport |
| ID_Doc |
77236 |
| Authors |
Kijewska, K; Iwan, S; Malecki, K |
| Title |
Applying Multi-Criteria Analysis of Electrically Powered Vehicles Implementation in Urban Freight Transport |
| Year |
2019 |
| Published |
|
| DOI |
10.1016/j.procs.2019.09.326 |
| Abstract |
One of the most important problems in the cities is atmospheric emission of anthropogenic origin. This problem is the key challenge mostly for city municipalities but also for business stakeholders, which are involved in freight transport at urban areas. One of the most important and efficient solutions to reduce this negative impact is implementation of electric vehicles. In recent years many activities and developments in this area have been done. This paper is focused on utilization of multi -criteria analysis for electric vehicles selection in the context of their usability for deliveries realization in cities. Moreover, it also presents general issues regarding the use of alternative fuels in motor vehicles, with emphasis on electric vehicles. It discusses the extent to which electric vehicles are used. It describes the key parameters for determining the usability of electric vehicles in urban deliveries. Based on the formulated assumptions, a multi-criteria model is proposed to enable selecting, out of the defined vehicles catalogue, solutions that are optimal in terms of potential effectiveness. The general aim of the paper is to support the logistics companies' decision makers in the improvement of the freight vehicles fleets, taking into account the sustainable city logistics expectations. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of KES International. |
| Author Keywords |
multi-criteria decision making; multi-criteria model; city logistics; urban freight transport; Electric Freight Vehicles (EFVs); sustainable transport; environmental friendly transport |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000571151500161 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; Engineering, Manufacturing; Engineering, Electrical & Electronic; Operations Research & Management Science |
| Research Area |
Computer Science; Engineering; Operations Research & Management Science |
| PDF |
https://doi.org/10.1016/j.procs.2019.09.326
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