عنوان مقاله [English]
Buying or renting a home is one of the biggest decisions anyone can make in life. Regarding spatial decision-making for buying / renting housing, Many multi-criteria decision-making models that have been developed along with Geographic Information System (GIS) can be used today. In this study, in order to find a suitable neighborhood for buying / renting a house, the method of analytic hierarchy analysis and the capabilities of the geographic information system were used. The criteria used were distance from offices, housing quality, housing price, distance from school, population density, crime density, hospital density, per capita green space and distance to the service center. After performing the steps of AHP method, it was found that the quality of housing with 17.55% is the most important criterion, then the layers used in GIS were prepared and combined The results showed that The Elahparast, Mirdamad 2 and Sari Zamin 2 neighborhoods are the most suitable neighborhoods for buying and renting housing based on the criteria used.