Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehran

The purpose of this study was to investigate the factors affecting housing prices in the Laleh Park district of Tehran. In this study, the data of all real estate traded in the first six months of the year 2016 was used in the study area. Information about the physical properties of the residential...

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Main Authors: ali shamai, mahsa delfannasab, mohammad porakrami
Format: Article
Language:fas
Published: Kharazmi University 2020-12-01
Series:تحقیقات کاربردی علوم جغرافیایی
Subjects:
Online Access:http://jgs.khu.ac.ir/article-1-2920-en.pdf
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author ali shamai
mahsa delfannasab
mohammad porakrami
author_facet ali shamai
mahsa delfannasab
mohammad porakrami
author_sort ali shamai
collection DOAJ
description The purpose of this study was to investigate the factors affecting housing prices in the Laleh Park district of Tehran. In this study, the data of all real estate traded in the first six months of the year 2016 was used in the study area. Information about the physical properties of the residential units trained is collected from the Real Estate Market Information System of Iran and is used to obtain information on the accessibility features of residential units traded using ARC GIS software. Multivariate regression analysis has also been used to investigate the factors affecting housing prices. The results of this study showed that the physical factors of housing are more effective than the access factors in the housing prices in this district . Among the selected features, the variables of residential area, parking, and skeletal type had the most positive effect on the price of housing in the area under study. On the other hand, some of the features, such as the distance from the residential unit to the nearest main street, the residential unit to the nearest educational user, the residential unit distance to the nearest health care provider, and the residential unit's age, had a negative effect on the housing price in the Laleh Park district .
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institution Kabale University
issn 2228-7736
2588-5138
language fas
publishDate 2020-12-01
publisher Kharazmi University
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series تحقیقات کاربردی علوم جغرافیایی
spelling doaj-art-11b6e86d81d74e4981c87c6a612e81942025-01-31T17:27:26ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382020-12-012059173195Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehranali shamai0mahsa delfannasab1mohammad porakrami2 Associate Professor of Geography and Urban Planning of Kharazmi University, Tehran, Iran. Master of Geography and Urban City University of Kharazmi University, Tehran, Iran. Master of Geography and Urban Planning of Tehran University, Tehran, Iran. The purpose of this study was to investigate the factors affecting housing prices in the Laleh Park district of Tehran. In this study, the data of all real estate traded in the first six months of the year 2016 was used in the study area. Information about the physical properties of the residential units trained is collected from the Real Estate Market Information System of Iran and is used to obtain information on the accessibility features of residential units traded using ARC GIS software. Multivariate regression analysis has also been used to investigate the factors affecting housing prices. The results of this study showed that the physical factors of housing are more effective than the access factors in the housing prices in this district . Among the selected features, the variables of residential area, parking, and skeletal type had the most positive effect on the price of housing in the area under study. On the other hand, some of the features, such as the distance from the residential unit to the nearest main street, the residential unit to the nearest educational user, the residential unit distance to the nearest health care provider, and the residential unit's age, had a negative effect on the housing price in the Laleh Park district .http://jgs.khu.ac.ir/article-1-2920-en.pdf: multivariate regressionhousing priceslaleh district of tehranarc gis software.
spellingShingle ali shamai
mahsa delfannasab
mohammad porakrami
Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehran
تحقیقات کاربردی علوم جغرافیایی
: multivariate regression
housing prices
laleh district of tehran
arc gis software.
title Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehran
title_full Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehran
title_fullStr Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehran
title_full_unstemmed Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehran
title_short Investigating of the Effective Factors on Housing Prices in district of Laleh Park, Tehran
title_sort investigating of the effective factors on housing prices in district of laleh park tehran
topic : multivariate regression
housing prices
laleh district of tehran
arc gis software.
url http://jgs.khu.ac.ir/article-1-2920-en.pdf
work_keys_str_mv AT alishamai investigatingoftheeffectivefactorsonhousingpricesindistrictoflalehparktehran
AT mahsadelfannasab investigatingoftheeffectivefactorsonhousingpricesindistrictoflalehparktehran
AT mohammadporakrami investigatingoftheeffectivefactorsonhousingpricesindistrictoflalehparktehran