Volume 7, Issue 27 (Summer 2019)
IUESA 2019, 7(27): 16-30 |
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Azmoodeh M, Haghighi F. The Influence of Access-Based Indices on House Prices (Case: Tehran District 6). IUESA 2019; 7 (27) :16-30
URL: http://iueam.ir/article-1-1243-en.html
URL: http://iueam.ir/article-1-1243-en.html
1- Highway & Transportation, Faculty of Civil eEngineering, Babol Noshirvani University of Technology, Babol, Iran
2- Highway & Transportation, Faculty of Civil eEngineering, Babol Noshirvani University of Technology, Babol, Iran ,haghighi@nit.ac.ir
2- Highway & Transportation, Faculty of Civil eEngineering, Babol Noshirvani University of Technology, Babol, Iran ,
Abstract: (3851 Views)
The purpose of this study was to examine the relationship between the variables dependent on the location of a residential block in an urban area based on the concept of accessibility and the price. For this purpose, based on the researches, 11 effective variables and their calculation method were identified and according to the experts’ opinions of the transportation and urban planning field, the weight of each parameter was determined by the method of the pairwise comparison matrix analysis of the Analytic Hierarchy Process (AHP). In the next step, with the overlapping of ArcGIS software analysis and the factors’ weights, the impact of each factor and the overall set of parameters in a metropolitan area was evaluated which blocks were classified into three categories of good, moderate, and poor accessibility. In this study, District 6 of Tehran metropolitan was selected as the case study. The results show that, based on the analysis of variables, the trend of rising housing prices in the region and the value of block accessibility act unlike each other, which by moving toward the north of the region, despite the decrease in the level of accessibility, we will face a rise in housing prices. Meanwhile, among the variables, the "affordability level" of the neighborhoods, which after the “Topography” of the region has the lowest weight among the indices, has the highest correlation with the trend of price change, which indicates the dependence of the price on other market variables.
Type of Study: Research |
Subject:
Special
Received: 2018/08/18 | Accepted: 2019/01/26 | Published: 2019/09/7 | ePublished: 2019/09/7
Received: 2018/08/18 | Accepted: 2019/01/26 | Published: 2019/09/7 | ePublished: 2019/09/7
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