Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method

Yunna Wu, Meng Yang, Haobo Zhang, Kaifeng Chen and Yang Wang
Additional contact information
Yunna Wu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Meng Yang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Haobo Zhang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Kaifeng Chen: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Yang Wang: School of Economics and Management, North China Electric Power University, Beijing 102206, China

Energies, 2016, vol. 9, issue 3, 1-20

Abstract: The task of site selection for electric vehicle charging stations (EVCS) is hugely important from the perspective of harmonious and sustainable development. However, flaws and inadequacies in the currently used multi-criteria decision making methods could result in inaccurate and irrational decision results. First of all, the uncertainty of the information cannot be described integrally in the evaluation of the EVCS site selection. Secondly, rigorous consideration of the mutual influence between the various criteria is lacking, which is mainly evidenced in two aspects: one is ignoring the correlation, and the other is the unconscionable measurements. Last but not least, the ranking method adopted in previous studies is not very appropriate for evaluating the EVCS site selection problem. As a result of the above analysis, a Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) method-based decision system combined with the cloud model is proposed in this paper for EVCS site selection. Firstly, the use of the PROMETHEE method can bolster the confidence and visibility for decision makers. Secondly, the cloud model is recommended to describe the fuzziness and randomness of linguistic terms integrally and accurately. Finally, the Analytical Network Process (ANP) method is adopted to measure the correlation of the indicators with a greatly simplified calculation of the parameters and the steps required.

Keywords: charging stations for electric vehicles; site selection; Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE); Analytical Network Process (ANP); cloud model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (21)

Downloads: (external link)
https://www.mdpi.com/1996-1073/9/3/157/pdf (application/pdf)
https://www.mdpi.com/1996-1073/9/3/157/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:3:p:157-:d:64969

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().