Abstract

Housing indices, as the core of a comprehensive program and an indispensable tool for expressing the various economic, social, cultural, environmental and physical dimensions of housing, have a special place in housing planning. The present study has been carried out to investigate, analyze and classify the provincial development rate based on quantitative and qualitative indices of housing using descriptive-analytical method and TOPSIS, VICCOR and Copeland multivariate decision making models based on population and housing census statistics of 2016 in provinces. The overall purpose of this research is to highlight uneven development and to show housing inequalities in the peripheral areas of the country as a result of uneven development. The results of housing leveling indicate the development focus on the central regions of the country in the three provinces of Tehran, Alborz and Qom. The three provinces of Sistan and Baluchestan, Chaharmahal Bakhtiari and South Khorasan also have the lowest share of housing. The results spatial statistics and the analysis indicate that the pattern of provinces' development in the housing sector is clustered, with the developed areas being the center of the country and the less developed areas being the country's border and peripheral areas. Also, based on the results of the most inequality distribution method in the housing sector, in the quantitative indicators of Poor housing, housing for every ten thousand people and the percentage of housing shortage can be seen, which indicates that the housing problem in Iran is low and the imbalance between housing production and population.