Spatial analysis of sustainable housing indicators in Tehran metropolis

AbstractPaying attention to the sustainability of the housing sector as the most important urban element in sustainable urban development is recognized as one of its most essential aspects; Therefore, knowing the indicators of suitable housing and trying to achieve the desired housing is an important issue in the discussion of sustainable urban development. Considering the importance of housing in the structure of today's cities and the lives of citizens, it is important to pay 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 uses, especially residential use and the category of housing. Therefore, the aim of the current research is to investigate and spatially analyze sustainable housing indicators in Tehran metropolis. The method of this research is descriptive-analytical and practical in terms of targeting. In this research, quantitative entropy models, gray relation analysis (GRA), Moran's spatial autocorrelation statistics and Arc Gis software were used to investigate and spatially analyze sustainable housing indicators in the 22 districts of Tehran metropolis. The results of the research show that the spatial distribution pattern of sustainable housing indicators at the level of 22 districts of Tehran is clustered, and districts 1, 22 and 21, respectively, have a gray rank of 0.638. 0.554 and 0.550 are in the first to third ranks in terms of having the studied indicators and are in a favorable condition. Statistically, about 0.4% of the regions are in favorable condition, 0.41% in semi-favorable condition and 0.45% in unfavorable condition. Geographically, the southeastern regions of Tehran are in an unfavorable situation, and from north to south and from west to east of Tehran, sustainable housing indicators have decreased.