Document Type : Science - Research
Authors
1
, Assistant Professor, Department of Architecture and Urban Planning, Ilkhchi Branch, Islamic Azad University, Ilkhchi, Iran.
2
Doctoral student of Urban Planning, Department of Architecture and Urban Planning, Aras International Branch, Islamic Azad University, Tabriz, Iran.
3
Doctoral student of Urban Planning, Department of Architecture and Urban Planning, Aras International Branch, Islamic Azad University, Tabriz, Iran
Abstract
Public parking lots are one of the most important infrastructures of the transportation system that play an effective role in reducing traffic and its efficiency and the quality of urban life. This research is of an applied type, which uses library studies to develop theoretical foundations (urban planning and urban traffic management), to understand the scope of the study and investigate the existing situation by field method and using detailed and comprehensive plan maps, and the extent of deficiencies and the manner of spatial distribution. The parking lots have been marked. Public parking per capita has been determined according to the standard of the Ministry of Roads and Urban Development. In order to determine the appropriate limits for the construction of parking, identify the influential criteria in locating and use the Super Decisions software to convert the criteria into information layers and for each of the criteria (layers), the required distances (Harim) has been created. The road network has been modeled in the comprehensive study of transportation and traffic of Urmia city with the VISUM software environment. Considering the effect of each of the layers and their pairwise comparison by Super Decisions software, the weight of each layer was calculated, and the incompatibility rate of pairwise comparisons was obtained as 0.08 and since it was less than 0.1, compatibility These comparisons are acceptable. Finally, by superimposing the layers of information, appropriate ranges are determined and divided into five categories from very poor to very good.
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