Efficient Allocation of Recharging Stations for Electric Vehicles in Urban Environments

  • Jesús Gallego
  • Emilio Larrodé
Part of the VDI-Buch book series (VDI-BUCH)


With the aim of decreasing today‘s dependency on oil, a growing interest in vehicles powered by alternative fuels, such as electric vehicles, has been generated. However, the successful incorporation of electric vehicles in the actual transportation system depends on overcoming of two main barriers: the low range of the electric vehicles in comparison with traditional internal combustion vehicles, and the low number of electric recharging stations. By increasing the number of recharging points it is possible to compensate the range limitations of electric vehicles, nevertheless, creating this infrastructure causes high costs. Therefore, the objetive of this study has been to develop an optimization methodology that allows planning of the recharging infrastructure for electric vehicles in an urban environment that minimizes the cost.


Urban Environment Electric Vehicle Electrical Demand Efficient Allocation Transportation Research Part 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    Krishna, V. Rapid economic growth and industrialization in India, China & Brazil: at what cost?, William Davidson Institute Working Paper Number 897, 2007.Google Scholar
  2. [2]
    Silva, C., Ross, M. y Farias, T. Evaluation of energy consumption, emissions and cost of plug-in hybrid vehicles, Energy Conversion and Management, vol 50, 1635 - 1643, 2009.CrossRefGoogle Scholar
  3. [3]
    Romm, J. The car and fuel of the future. Energy Policy, vol. 34 (17), 2609 - 2614, 2006.CrossRefGoogle Scholar
  4. [4]
    Kuby, M., Lim, S. The flow-refueling location problem for alternative-fuel vehicles. Socio-Economic Planning Sciences, vol. 39, 125-145, 2005.CrossRefGoogle Scholar
  5. [5]
    Lin, Z., Ogden, J., Fan, Y., Chen, C. W. The fuel-travel-back approach to hydrogen station siting, International Journal of Hydrogen Energy, vol. 33, 3096 - 3101, 2008.CrossRefGoogle Scholar
  6. [6]
    Wnag, Y.W. Locating battery exchange stations to serve tourism transport: A note, Transportation Research Part D, vol. 13, 193 - 197, 2008.CrossRefGoogle Scholar
  7. [7]
    Wang, Y. W., Lin, C. C. Locating road-vehicle refuelling stations, Transportation Research Part E, vol. 45, 821 - 829, 2009.CrossRefGoogle Scholar
  8. [8]
    Lim, S., Kuby, M. Heuristic algorithms for sitting alternative-fual stations using the Flow-Refueling Location Model, European Journal of Operational Research, vol. 204, 51 - 61, 2010.zbMATHCrossRefGoogle Scholar
  9. [9]
    Upchurch, C., Kuby, M. Comparing the p-median and flow-refueling models for locating alternative-fuel stations, Journal of Transport Geography, vol. 18, 750 - 758, 2010.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Jesús Gallego
    • 1
  • Emilio Larrodé
    • 1
  1. 1.Universidad de ZaragozaZaragozaSpain

Personalised recommendations