Spatial analysis of physical characteristics of urban housing with emphasis on inequality within the region (Case study: 22 metropolitan areas of Tehran)

Housing indicators, as the main foundation of a comprehensive program and an essential tool for expressing various economic, social, cultural, environmental and physical dimensions of housing, have a special place in housing planning. Therefore, recognizing the status of appropriate housing indicators and trying to achieve the desired housing and reduce inequalities is considered important in the discussion of sustainable urban development. In this regard, the aim of the present study is to measure and analyze the physical characteristics of housing in the metropolis of Tehran with the approach of spatial justice. The research method is descriptive-analytical and its purpose is practical. To analyze the data, quantitative models of Shannon's entropy, TOPSIS, C.V scattering coefficient, Moran spatial self-correlation statistics and Arc GIS software were used. Findings from the study show that there is inequality within the region in having physical housing characteristics among the metropolitan areas of Tehran, so that the spatial distribution pattern of physical housing characteristics in the 22 regions The city of Tehran is in the form of a cluster, and regions 1, 3, and 2, with a score of 0.855, 0.447, and 0.385, respectively, are ranked 22nd among the 22 regions in terms of physical housing characteristics. First to third. On the other hand, Zone 21 is in the last place with the lowest amount of TOPSIS 0.038. Statistically, about 0.4 percent of the regions are in a privileged position, 0.23 percent are in a semi-privileged position, and 0.73 percent are in an inefficient position. Based on the obtained results, it can be concluded that the inequality within the region and the gap between the regions of Tehran in terms of having physical housing characteristics.