Analysis of Urban Smart Growth Indicators with Multi Criteria Decision Making Models (Case Study: Gorgan City Areas)

The inclination toward cities and urbanization is a universal phenomenon. It is predicted that most of the increase in population and urbanization will occur in cities in developing countries. Due to the increasing urban population, the development of urban spaces in the future is inevitable, so understanding this process is essential for effective management of urban environmental protection. Therefore, the purpose of this study is to investigate smart growth indices in the spatial area of ​​Gorgan city using multi-criteria decision making models. The method used in this study is descriptive-analytical and it is an applied research. The required data were extracted from secondary data and 16 criteria were used to evaluate Gorganchr('39')s urban areas in terms of smart growth indices. Data analysis was performed using Shannon entropy (TOPSIS) and SAW (Excel) and Excel spreadsheet software (SPSS) and Arc GIS software was used to map. The results of the mean technique show that Area 2 with (0.634) average score ranks first in terms of smart growth indices and Area 1, city of Gorgan is ranked second (0.591). Overall, these two areas in the Gorgan Zone are smart according to growth indicators. Area 4 with 0.528 is third ranking, Area 3 with 0.447 is fourth ranking and Area 6 with 0.371 is fifth ranking all of which are in semi-favorable areas in Gorgan. Finally, Areas 8, 5 and 7 are ranked sixth, seventh and eighth with scores of 0.321, 0.210 and 0.171, respectively, and in terms of having smart growth indicators at a low level and they are less-favorable areas.