Spatial Exploration of Effective Electric Vehicle Infrastructure Location

The number of electric vehicles and related infrastructure (in particular chargers) are expected to increase significantly in the near future. Models and guidelines for the optimum location of the electric vehicles infrastructure are not well addressed in the current literature and this research aims to provide some insight towards this direction. A method for the optimal location of charging stations is presented and applied to the municipality of Kalamaria in Thessaloniki, Greece. The method is based on the multi-criteria analysis (MCA) technique. A number of variables, such as the population characteristics, points of interest and the characteristics of the electric utility grid around the candidate positions, are weighted in order to produce a single spatial map to support the decision-makers.

• Record URL:
  https://doi.org/10.1016/j.sbspro.2012.06.1054
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877042812027905
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Efthymiou, Dimitrios
  • Antoniou, Constantinos
  • Tyrinopoylos, Yannis
  • Mitsakis, Evangelos
• Conference:
  • Transport Research Arena 2012
  • Location: Athens , Greece
  • Date: 2012-4-23 to 2012-4-26
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: pp 765-774
• Serial:
  • Procedia - Social and Behavioral Sciences
  • Volume: 48
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1877-0428
  • Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Electric vehicle charging; Electric vehicles; Infrastructure; Location; Multiple criteria decision making
• Geographic Terms: Thessaloniki (Greece)
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01489254
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 5 2013 2:58PM