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Spatial Analysis of Quantitative and Qualitative Indicators of Sustainable Housing in Neighborhoods of Ardabil City
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Mohammadhasan Yazdani *1   , Neghin Alizadeh11 , Maryam Jami1 |
| 1- University of Mohaghegh Ardabili, Ardabil, Iran. |
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Abstract: (157 Views) |
Given the importance of housing in the structure of today's cities and the lives of citizens, paying attention to the principles of sustainable development in the direction of spatial and social justice and the physical structure of cities, the quantitative and qualitative desirability of land uses, especially residential land use and the category of housing, is important. Therefore, the aim of the present study is to spatially analyze the quantitative indicators of sustainable housing in neighborhoods of Ardabil city. The present study is applied in terms of its purpose and descriptive-analytical in nature. Information collection is generally through library and documentary methods such as the 2016 General Population and Housing Census. For data analysis, Arc Catalog software was used to prepare data, and the Analytic Hierarchy Process (AHP) model was used to weight criteria, and the Todim model and the Moran model were used to measure spatial differentiation. The findings show that the Gazran neighborhood, ranked first, has very high sustainability. This is while the Golmoghan neighborhood has very low sustainability. Based on the results of the Moran model, the spatial distribution of the sustainability of housing quantity indicators in the neighborhoods of Ardabil follows a cluster pattern that indicates spatial inequality in the 13 neighborhoods of Ardabil. Therefore, in order to take the necessary measures to reduce the spatial inequalities of housing quantity in the neighborhoods of Ardabil, it seems necessary to develop a written program based on spatial justice to reduce its inequalities.
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Article number: 8 |
| Keywords: Housing indicators, spatial analysis, sustainable housing, Ardabil city. |
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Full-Text [PDF 1151 kb]
(57 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2026/02/18 | Accepted: 2026/05/14 | Published: 2026/06/18
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