Locating urban public parking using fuzzy logic model -ANP (Case study: Mashhad District 1 Municipality)

In the current age of increasing population and urban expansion,Have Increased use of motor vehicles in cities And forecasts of car park locations in these cities have been taken into consideration. The expansion of Mashhad in recent decades and the increasing number of cars and related problems such as traffic, increased fuel consumption, air pollution, waste of time citizens etc. The need to pay attention to the use of urban public parking in urban development plans is increasingly emphasized. Currently, District 1 of Mashhad Municipality is facing traffic and environmental problems due to its high density of administrative and commercial uses. Therefore, locating public parking spaces to reduce traffic congestion and its problems seems to be an effective step in urban planning. This is an applied and descriptive-analytical study. Data were collected through library and field studies from relevant organizations. Arc GIS and fuzzy logic model-ANP were used for these analyzes. According to the studies carried out in this field, 8 criteria for parking location were selected and using ANP model and fuzzy logic, each criterion was weighted and mapped in ARC GIS software and finally different layers on The convention and the right place to build a public parking lot have been identified. The results of this study show that the distribution of public parking lots is in good condition but the number of parking lots is less than the demand.