<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Most of the cities in Iran have experienced very rapid development. The urban population in the last decade has been increased by migration, and cities in Iran are faced with many problems. Housing is becoming one of the major problems, and standard housing indices have taken an important place in urban planning to provide good conditions for better urban planning. Region 6 of Tehran municipality is home to a large portion of upper-middle social class people for whom owning a house is more than merely a place to live. The aim of the research was to analyze qualitative and quantitative indices for Region 6 of Tehran municipality. The study is based on analytical and descriptive methods. The secondary data collected from the latest Iran census report in 2016 and composite methods used to measure the special effects of changes in population size, growth rate, and indices of quantitative and qualitative assessment are wide-ranging housing which was analyzed based on the t-test, correlation test and regression with SPSS and GIS software. GIS software is used as an effective tool for generating maps to better understanding the behaviors of residents in a neighborhood. The result shows that Region 6 of Tehran is among the areas of serious urban decline and neighborhoods in the neighboring regions are influenced by the activities of other bordering neighborhoods.</p>
</abstract>

Most of the cities in Iran have experienced very rapid development. The urban population in the last decade has been increased by migration, and cities in Iran are faced with many problems. Housing is becoming one of the major problems, and standard housing indices have taken an important place in urban planning to provide good conditions for better urban planning. Region 6 of Tehran municipality is home to a large portion of upper-middle social class people for whom owning a house is more than merely a place to live. The aim of the research was to analyze qualitative and quantitative indices for Region 6 of Tehran municipality. The study is based on analytical and descriptive methods. The secondary data collected from the latest Iran census report in 2016 and composite methods used to measure the special effects of changes in population size, growth rate, and indices of quantitative and qualitative assessment are wide-ranging housing which was analyzed based on the t-test, correlation test and regression with SPSS and GIS software. GIS software is used as an effective tool for generating maps to better understanding the behaviors of residents in a neighborhood. The result shows that Region 6 of Tehran is among the areas of serious urban decline and neighborhoods in the neighboring regions are influenced by the activities of other bordering neighborhoods.

Qualitative and Quantitative Analysis of Housing Indices at the Neighborhood Level: Case Study of Region 6 of Tehran Municipality

Master student in Kharazmi University of Tehran

Real Estate Management and Valuation

This work is licensed under the Creative Commons Attribution 4.0 International License.

Most of the cities in Iran have experienced very rapid development. The urban population in the last decade has been increased by migration, and cities in Iran...

Qualitative and Quantitative Analysis of Housing Indices at the Neighborhood Level: Case Study of Region 6 of Tehran Municipality

Online veröffentlicht: 22. Juni 2021

Seitenbereich: 1 - 15

DOI: https://doi.org/10.2478/remav-2021-0009

Schlüsselwörter
analysis, qualitative, quantitative, housing indices, neighborhood leveling

© 2021 Kamran Jafarpour Ghalehteimouri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Qualitative and Quantitative Analysis of Housing Indices at the Neighborhood Level: Case Study of Region 6 of Tehran Municipality

Online veröffentlicht: 22. Juni 2021

Seitenbereich: 1 - 15

DOI: https://doi.org/10.2478/remav-2021-0009

Schlüsselwörteranalysis, qualitative, quantitative, housing indices, neighborhood leveling

© 2021 Kamran Jafarpour Ghalehteimouri et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
analysis, qualitative, quantitative, housing indices, neighborhood leveling