Location CNG Fuel Stations by Using Fusion Techniques of Fuzzy Operators and GIS Spatial Analysis, Case Study: Mashhad District 7

Achieving the balance between the spatial distribution of resources and services in urban areas is one of the main objectives of the government. District 7 in Mashhad with a population of about 220000 people and an area of 5200 hectares is one of the most crowded urban areas of Mashhad. CNG fuel station network is the key component of the network utilities acted as a supplier of fuel for transportation within the city, which is important in terms of traffic considerations, urban development, safety, and the environment. This study aims to locate CNG fuel station in District 7 in Mashhad and also utilizes the methods based on GIS and fuzzy logic. In order to implement fuzzy operators in GIS environment, the effective criteria including access to main thoroughfares, centers with high population density, green space, commercial land use, distance from residential land use, educational land use, and distance from existing stations were all first extracted and entered into the GIS environment. In the next step, the fuzzy membership value for each parameter (fuzzication) was determined. Next, the weighted layers were put together, and finally the most appropriate area was shown on the final map. The results showed that the southern and southeastern areas lacked fuel stations and had priority for the construction of new stations in the area.