Spatial analysis of housing prices in Tehran city

Seyedeh Mehrangar Hosseini, Behnaz Bahadori, Shahram Charkhan
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引用次数: 1

Abstract

Purpose The purpose of this study is to identify the situation of spatial inequality in the residential system of Tehran city in terms of housing prices in the year 2021 and to examine its changes over time (1991–2021). Design/methodology/approach In terms of purpose, this study is applied research and has used a descriptive-analytical method. The statistical population of this research is the residential units in Tehran city 2021. The average per square meter of a residential unit in the level of city neighborhoods was entered in the geographical information system (GIS) in 2021. Moran’s spatial autocorrelation method, map cluster analysis (hot and cold spots) and Kriging interpolation have been used for spatial analysis of points. Then, the change in spatial inequality in the residential system of Tehran city has been studied and measured based on the price per square meter of a residential unit for 30 years in the 22 districts of Tehran by using statistical clustering based on distance with standard deviation. Findings The result of spatial autocorrelation analysis with a score of 0.873872 and a p-value equal to 0.000000 indicates a cluster distribution of housing prices throughout the city. The results of hot spots show that the highest concentration of hot spots (the highest price) is in the northern part of the city, and the highest concentration of cold spots (the lowest price) is in the southern part of Tehran city. Calculating the area and estimating the quantitative values of data-free points by the use of the Kriging interpolation method indicates that 9.95% of Tehran’s area has a price of less than US$800, 17.68% of it has a price of US$800 to US$1,200, 25.40% has the price of US$1,200 to US$1,600, 17.61% has the price of US$1,600 to US$2,000, 9.54% has the price of US$2,000 to US$2,200, 6.69% has the price of US$2,200 to US$2,600, 5.38% has the price of US$2,600 to US$2,800, 4.59% has the price of US$2,800 to US$3,200 and finally, the 3.16% has a price more than US$3,200. The highest price concentration (above US$3,200) is in five neighborhoods (Zafaranieh, Mahmoudieh, Tajrish, Bagh-Ferdows and Hesar Bou-Ali). The findings from the study of changes in housing prices in the period (1991–2021) indicate that the southern part of Tehran has grown slightly compared to the average range, and the western part of Tehran, which includes the 21st and 22nd regions with much more growth than the average price. Originality/value There is massive inequality in housing prices in different areas and neighborhoods of Tehran city in 2021. In the period under study, spatial inequality in the residential system of Tehran intensified. The considerable increase in housing prices in the housing market of Tehran has made this sector a commodity, intensifying the inequality between owners and non-owners. This increase in housing price inequality has caused an increase in the informal living for the population of the southern part. This population is experiencing a living situation that contrasts with the urban plans and policies.
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德黑兰市房价的空间分析
目的本研究的目的是确定2021年德黑兰市住宅系统中房价的空间不平等状况,并考察其随时间(1991-2021)的变化。设计/方法/方法就目的而言,本研究是应用研究,并使用了描述性分析方法。本研究的统计人口为2021年德黑兰市的住宅单元。2021年,城市社区一级住宅单元的平均每平方米被输入地理信息系统(GIS)。Moran的空间自相关方法、地图聚类分析(热点和冷点)和克里格插值已被用于点的空间分析。然后,基于30年来一个住宅单元的每平方米价格,研究并测量了德黑兰市住宅系统中空间不平等的变化 通过使用基于距离和标准差的统计聚类,对德黑兰22个区的年份进行统计。结果空间自相关分析结果得分为0.873872,p值等于0.000000,表明整个城市的房价呈集群分布。热点地区的结果显示,热点地区最集中(价格最高)在城市北部,冷点地区最高集中(价格最低)在德黑兰市南部。使用克里格插值法计算面积并估计无数据点的定量值表明,德黑兰9.95%的地区价格低于800美元,17.68%的地区价格在800美元至1200美元之间,25.40%的地区价格为1200美元至1600美元,17.61%的地区价格从1600美元至2000美元,9.54%的地区价格是2000美元至2200美元,6.69%的人的价格在2200至2600美元之间,5.38%的人价格在2600至2800美元之间,4.59%的人价格为2800至3200美元,最后,3.16%的人价格超过3200美元。价格集中度最高(超过3200美元)的是五个社区(Zafaranieh、Mahmoudieh、Tajrish、Bagh Ferdows和Hesar Bou Ali)。对这一时期(1991-2021年)房价变化的研究结果表明,与平均水平相比,德黑兰南部地区略有增长,而德黑兰西部地区(包括第21和第22地区)的增长远高于平均水平。创意/价值2021年德黑兰市不同地区和社区的房价存在巨大的不平等。在本研究所述期间,德黑兰住宅系统中的空间不平等现象加剧。德黑兰住房市场房价的大幅上涨使该行业成为一种商品,加剧了业主和非业主之间的不平等。房价不平等的加剧导致了南部人口非正规生活的增加。这部分人口的生活状况与城市规划和政策形成鲜明对比。
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来源期刊
CiteScore
2.80
自引率
29.40%
发文量
68
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