Spatial analysis of the distribution of urban smart growth indicators in the Malayer city Neighborhoods

Authors

• Mitra Ansari ¹
• Majid Vali Shareeatpanahi ²
• Abbas Malekhoseini ³
• Mahdi Modiri ⁴

¹ Faculty member

² Associate Professor,College of Humanities, Yadegar-e-Imam Khomeini(rah),shahr-e-rey

³ Associate Professor, Department of Geography, Islamic Azad University, Malayer

⁴ Associate Professor, MalekAshtar University of Technology, Tehran

Abstract

In the past two decades, the Smart Growth Strategy has been based on the concept of sustainable urban development and the support of the compact urban model. In fact, paying attention to the intensive city and smart growth as one of the ways to reach this urban form has been greatly increased due to undesirable effects of dispersed development patterns in the political and environmental fields. In this regard, the aim of this research is spatial analysis of the distribution of intelligent growth indices in the towns of Malayer. To this end, 18 neighborhoods were surveyed in terms of infrastructure indicators in the form of 82 measurable indicators. To analyze the data, generalized Shannon entropy model, Vikor technique, Pearson correlation coefficient were used in GIS and SPSS softwares. The research findings indicate that the spatial distribution of urban intelligence growth indicators in the 18th city of Malayer is not the same and there is a great distance between neighborhoods.
Accordingly, the neighborhoods of 17.1.14,4.3,16,18,11,9,10,12,13 are respectively the most enjoyable with the social, economic, environmental and physical indicators of urban smart growth. And these indices in the neighborhoods of 7,8,6,2,5,15 have the lowest points, respectively. Other research results indicate that there is a positive correlation between intelligent growth indicators in Malayer and their population. So that the level of urban intelligence growth index and population of the city is 0.512 and at the level of 0.007 is statistically significant. So, in general, one can conclude that in the city of Malayer, the urban intelligence growth infrastructure and infrastructures are moving towards neighborhoods with more populations.

Keywords

• Spatial Distribution
• urban neighborhood units
• smart Growth Indicators
• Vikor Technique
• Malayer City

20.1001.1.22516735.1397.8.32.8.2

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