Spatial and social assessment of the Affecting housing prices factorsThe case study of Urmia City
The housing sector's performance in developing countries has become acute and critical, and the share of housing costs in urban households accounts for 60-70%. Housing prices are influenced by economic, political, social, physical, etc. components and are consistently reproduced. In terms of the purpose, the current research is of an applied type, which was carried out using a descriptive-analytical method. To evaluate and analyze the spatial and social patterns affecting housing prices through the colonial competition algorithm and to spatialize the studied indicators, the Tracking Analyst Tools method has been used. According to the results, more than 50% of the population distribution pattern was inhabited in an area equal to 1585801.6 square meters with cluster and zone functions. In connection with the basic housing price index, 41.7 of the residential use levels are distributed in the higher-than-average price range with 5-10 million tomans per meter and above. Among the social variables, the index of the geographical direction of population distribution and ethnic and cultural clusters based on the majority of residents in the neighbourhoods are known as the most important social factors affecting the growth of urban housing prices. The index of the geographical direction of population distribution as a control variable has hurt housing price growth and is significant at a high level; This means that areas with lower population distribution and development have had lower price growth
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