Investigating the price and housing market in Abadeh

Document Type : Research Article

Authors

1 Professor of Geography and Urban Planning, University of Isfahan, Isfahan, Iran

2 PhD student in Geography and Urban Planning, University of Isfahan, Isfahan, Iran.

Abstract

The present study investigates and analyzes the price situation in the housing market of Abadeh city in the direction of desirable housing.the present research method is applied in terms of purpose and descriptive-analytical in terms of methodology and nature. Library method and field survey have been used to collect information. The statistical population of this research includes specialists and experts in the field of urban and housing, 25 of them were selected as the sample size using the Delphi technique.to analyze the research data, one-sample t-tests were used in spss software, as well as DEMATEL multi-criteria techniques.the results of the T-Tech test show that the average value of all housing price indices is higher than the base limit (3).In such a way that these criteria, with an average of 33.3, have had the greatest impact on the price of housing in Abadeh city.The results of the SWARA technique indicate that among the indicators affecting the price of housing in Abadeh ,the economic and financial index with a final weight of 278.0is in the first place, the administrative and management index with a weight of 231.0 is in the second place, the physical-spatial index With a weight of 193.0 in the third place, accessibility and distance index with a weight of 161.0 in the fourth place and finally the social index with a final weight of 136.0 in the fifth place.the results of the DEMATEL technique show that among the indicators that affect housing prices in Abadeh .the economic and financial criterion with the value of 655.18 has the highest interaction and the physical-spatial criterion with the value of 589.18 has the lowest interaction, the economic and financial criterion with the value 539.1 is the most influential factor and social criterion with a value of -541.1 is the most influential factor.

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