Site selection for multi-story car parks with emphasis on urban sustainable development management

The high desire of Tehran citizens to use personal vehicles has made traffic one of the main challenges in Tehran. This imposes heavy environmental and economic costs on this city as the capital of the country. Tehran, as the most populous city in Iran, has always faced the problem of increasing urbanization, urban traffic and lack of public parking lots. This problem is exacerbated especially in the central areas of the city, which are politically, economically and socially centralized and increase the need to create public parking lots, especially multi-story car parks that have a higher capacity despite occupying less space. The present study aims to provide a hybrid model under a fuzzy environment for the location of multi-story car parks in District 12 of Tehran with an emphasis on urban sustainable development management to provide a solution to this problem. Therefore, in the first step, 3 criteria and 21 sub-criteria were identified with emphasis on the dimensions of sustainable development. Then, the selected criteria were weighed using the fuzzy SWARA method and the potential parking areas were identified using the fuzzy ARAS method. Finally, using GIS technique, 7 suitable spots in area 3 of district 12 were identified to create multi-story car parks. The one of the most important aspects of this research is the complete classification of urban sustainability dimensions for the selection of multi-story car parks. Also, in this research, a new combination of fuzzy SWARA, fuzzy ARAS and GIS has been used for optimal decision making.