The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 249–252, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-249-2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 249–252, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-249-2018

  19 Sep 2018

19 Sep 2018

GIS AND FUZZY AHP BASED AREA SELECTION FOR ELECTRIC VEHICLE CHARGING STATIONS

D. Guler and T. Yomralioglu D. Guler and T. Yomralioglu
  • ITU, Geomatics Engineering Department, 34469 Maslak Istanbul, Turkey

Keywords: MCDM, Fuzzy AHP, GIS, Electric Vehicle

Abstract. Significant work is being done to protect the world and ecosystem. Innovative approaches are being explored to reduce the harm of the methods used to sustain life. Mobility is an essential issue that affects people and society in today's life. Automobiles are the most commonly used vehicle for mobility in private life and public service activities such as transportation. One of the important subjects that should be applied to environmentally sensitive methods is transportation. One of the major problems encountered today is the harmful effects of internal combustion motor vehicles. Electric vehicles are preferred because they work efficiently and with the least damaging effect on the environment. The location of electric vehicles is a complicated problem because it depends on many different factors. In this study, fuzzy analytical hierarchy process (Fuzzy AHP) as multi-criteria decision-making (MCDM) methods and geographic information systems (GIS) to manage data which can be used for the location selection of electric vehicles charging stations are researched. The study area was determined by three neighboring districts boundaries city of Istanbul in Turkey.