A Spatial Analysis of Housing Prices Using Geographically Weighted Regression (A Case Study for District 2 of Tehran Metropolitan City, Iran)

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SAREMI HAMIDREZA; HEYDARI MOHAMMAD; AGHAEI FATEMEH

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Journal: JOURNAL OF URBAN ECONOMICS Year:2019 | Volume:3 | Issue:2 (5) Page(s): 19-38

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Title

A Spatial Analysis of Housing Prices Using Geographically Weighted Regression (A Case Study for District 2 of Tehran Metropolitan City, Iran)

Author(s)

SAREMI HAMIDREZA | HEYDARI MOHAMMAD | AGHAEI FATEMEH | Issue Writer Certificate

Keywords

Housing Prices

Geographically Weighted Regression

Spatial Analysis

Tehran

GIS

Abstract

Housing is one of the most important bases for providing households' biological, economic, and social needs, and regarding the high volatility in supply and demand, a decent planning is required to pro-mote the quality of the residential environment. Housing Prices are amongst those housing indices that could not be completely controlled by planners, but using Spatial Analysis of housing market performance and promoting the efficiency of plans and providing strategies and policies for housing plannings can improve the cotrolablity of the prices. The fluctuations in Housing Prices are one of the main urban management' challenges facing Tehran Metropolitan City. So, this paper is trying to investigate the spatial distribution of Housing Prices and to identify its determinants. One of the reasons for choosing district 2 of Tehran as the case in this research is the geographical spread of this district, which covers the center to the most northern urban areas of Tehran, and consequently includes a veraity of building types, residential patterns and Housing Prices. The recorded sales data in the Real Estate Market System, for apartment buildings in the district sold during Shahrivar and Mehr 1396, were used and applied in OLS and GWR regression techniques for modeling and analyzing the Housing Prices. In addition to identifying the variables affecting the housing price, the results indicate the utility of the GWR in comparison with the OLS technique in explaining the Housing Prices.

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APA: Copy

SAREMI, HAMIDREZA, HEYDARI, MOHAMMAD, & AGHAEI, FATEMEH. (2019). A Spatial Analysis of Housing Prices Using Geographically Weighted Regression (A Case Study for District 2 of Tehran Metropolitan City, Iran). JOURNAL OF URBAN ECONOMICS, 3(2 (5) ), 19-38. SID. https://sid.ir/paper/385915/en

Vancouver: Copy

SAREMI HAMIDREZA, HEYDARI MOHAMMAD, AGHAEI FATEMEH. A Spatial Analysis of Housing Prices Using Geographically Weighted Regression (A Case Study for District 2 of Tehran Metropolitan City, Iran). JOURNAL OF URBAN ECONOMICS[Internet]. 2019;3(2 (5) ):19-38. Available from: https://sid.ir/paper/385915/en

IEEE: Copy

HAMIDREZA SAREMI, MOHAMMAD HEYDARI, and FATEMEH AGHAEI, “A Spatial Analysis of Housing Prices Using Geographically Weighted Regression (A Case Study for District 2 of Tehran Metropolitan City, Iran),” JOURNAL OF URBAN ECONOMICS, vol. 3, no. 2 (5) , pp. 19–38, 2019, [Online]. Available: https://sid.ir/paper/385915/en

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