An Integrated Multi-Criteria Decision Making Approach to Location Planning of Electric Vehicle Charging Stations
Liu, H-C; Yang, M; Zhou, M; et al.Tian, G
Date: 11 May 2018
Journal
IEEE Transactions on Intelligent Transportation Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
Electric vehicles (EVs) 1 are recognized as one of the most promising technologies worldwide to address the fossil fuel energy resource crisis and environmental pollution. As the initial work of EV charging station (EVCS) construction, site selection plays a vital role in its whole life cycle, which, however, is a complicated multiple ...
Electric vehicles (EVs) 1 are recognized as one of the most promising technologies worldwide to address the fossil fuel energy resource crisis and environmental pollution. As the initial work of EV charging station (EVCS) construction, site selection plays a vital role in its whole life cycle, which, however, is a complicated multiple criteria decision making (MCDM) problem involving many conflicting criteria. Therefore, this paper aims to propose a novel integrated MCDM approach by a grey decision making trial and evaluation laboratory (DEMATEL) and uncertain linguistic multi-objective optimization by ratio analysis plus full multiplicative form (UL-MULTIMOORA) for determining the most suitable EVCS site in terms of multiple
interrelated criteria. Specifically, the grey DEMATEL method is
used to determine criteria weights and the UL-MULTIMOORA
model is employed to evaluate and select the optimal site.
Finally, an empirical example in Shanghai, China, is presented to
demonstrate the applicability and effectiveness of the proposed
approach. The results show that the proposed approach is a
useful, practical, and effective way for the optimal location of
EVCSs.
Engineering
Faculty of Environment, Science and Economy
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