ISPRS-Annals ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-X-4-W1-2022-31-2023 LOCATION OF FUEL STATIONS USING FUZZY MODEL IN GEOSPATIAL INFORMATION SYSTEM (CASE STUDY: 7TH DISTRICT, TEHRAN CITY) Akbari D. 1 Saati M. 2 Dept. of Geomatic Engineering, University of Zabol, Zabol, Iran Dept. of Civil Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran 13 01 2023 X-4/W1-2022 31 36 Copyright: © 2023 D. Akbari 2023 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/isprs-annals-X-4-W1-2022-31-2023.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/isprs-annals-X-4-W1-2022-31-2023.pdf

In this study, by using the fuzzy method and geospatial information system (GIS), was attempted to locate the fuel station in the 7th district of Tehran. For this purpose, the information was digitized as a shape file by referring to the field and using the existing maps. The distance map was prepared using the Euclidean Distance function. Finally, using ArcGIS 10.8 software, this information was normalized by the fuzzy method and overlapped using the fuzzy gamma operator. It is presented as a map of prone areas for optimal positioning of fuel stations in the 7th district of Tehran. The most important criteria are the distance from the communication network, population density, incompatible users (commercial, industrial, administrative, residential, cultural and religious, health and medical), compatible users (park and green space, sports, fire department), and distance from fuel stations.