Spatial Distribution of Housing Prices and Explanation of its Social, Economic, Physical and Natural Factors in Five Study Areas of Zahedan City

Document Type : Research Paper

Authors

1 Assistant Professor of Geography and Urban Planning, University of Sistan and Baluchestan, Zahedan, Iran

2 Associate Professor of Geography and Tourism Planning, University of Sistan and Baluchestan, Zahedan, Iran

3 M.Sc of Geography and Urban Planning, University of Sistan and Baluchestan, Zahedan, Iran

Abstract

 
The purpose of the research is to analyze the spatial distribution of housing prices and explain the effective social, economic, physical and environmental factors in Zahedan city (five study areas). This research is of an applied type, with a descriptive-analytical research method, and its target population is the citizens of Zahedan who are 18 years old and above. Data collection was done by survey method and two-stage random sampling with researcher-made questionnaire and semi-structured interview. Statistical analysis showed that the accuracy of this leveling is about 90% consistent with reality. The validity of the research tool was confirmed by experts and its reliability was confirmed by Cronbach's alpha (78). First hypothesis: housing price has a significant relationship with social indicators. Second hypothesis: housing price has a significant relationship with physical indicators.
The findings showed; In the whole city of Zahedan, the price of a residential unit has a correlation of 13%, 16%, 14% and 18% with the social indicators of the household dimension, the number of children, the level of trust in the locals, and the number of households in the residential unit, respectively (insignificant and insignificant). However, the housing price in Zahedan was correlated with the indicators of neighborhood security and quality of life by 40% and 54%. Meanwhile, the correlation of housing price with three physical indicators of access to higher education services, access to stores and large shopping centers, quality of garbage collection and surface water, is equal to 68%, 58% and 51%, respectively.
 

Keywords

Main Subjects

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Geography and Development
Volume 21, Issue 73 - Serial Number 73
December 2023
Pages 97-121

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  • Receive Date: 06 June 2023
  • Revise Date: 19 September 2023
  • Accept Date: 27 September 2023

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