Land use assessment with emphasis on public spaces (Case Study: Districts of Deh District, Tehran)

Subject Areas :

morad delalat ¹ (Ph.D student in Political Geography, Kharazmi University of Tehran, Tehran, Iran.)
logman mostafapoor ² (MA of of Geography and Urban Planning, Kharazmi University of Tehran, Tehran. Iran.)
asma mozafarynia ³ (MA of Urban Planning, Faculty of Architecture, Urban & Art, University of Urmia, Urmia, Iran.)
gader ahmadi ⁴ (Assistant Professor of Urban Planning, Faculty of Architecture, University of Urmia, Urmia, Iran.)

Received: 2020-06-01 Accepted : 2021-07-04 Published : 2023-01-21

Keywords: Tehran, Land Use, urban public spaces, Area and Per capita, Neighborhoods of ten District,

Abstract :

Urban public spaces were one of the most important types of urban spaces. Areas that citizens of all walks of life, age, race and class have the right to use without any restrictions. The quantitative evaluation of public spaces, leveling, analysis, distribution and distribution of public spaces in the neighborhoods of districts of the city of Deh-Tehran revealed. The research is a descriptive-analytic one. The population under study is the total population of the Deh-Metropolitan Area of Tehran with 818 hectares, three districts and 10 neighborhoods. The method of data collection is library based. The required information has been collected from the latest detailed plan of Deh-Tehran based on the population and housing census of 2016. Evaluation of public spaces of Deh-Tehran neighborhoods has been done by 5 main indicators and 5 sub-indices. The results were analyzed using Shannon entropy model TOPSIS and GIS and SPSS software. Accordingly, each of the neighborhoods of Deh-Tehran is ranked and ranked according to the desired indices. The results are presented in tables and maps as well as the level and per capita status of each public land use compared to standard per capita levels. It is calculated separately.Evaluation of public spaces of Deh-Tehran neighborhoods has been done by 5 main indicators and 5 sub-indices. The results were analyzed using Shannon entropy model TOPSIS and GIS and SPSS software. Accordingly, each of the neighborhoods of Deh-Tehran is ranked and ranked according to the desired indices. The results are presented in tables and maps as well as the level and per capita status of each public land use compared to standard per capita levels. It is calculated separately

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