Spatial Analysis of the Proximity Effects of Land Use Planning on Housing Prices (Case Study: Tehran, Iran)

Molan, Amin Safdari; Farhadi, Ebrahim

doi:10.1007/978-3-030-24302-9_46

Cited by 6 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence, after meeting the essential and basic needs, housing becomes capital in the form of savings and opens a vast field of supply and demand (Pour Mohammadi, 2016, p. 6). Housing cost has the largest share of household income among the essential commodities, so its provision for households is inevitable (Safdari Molan and Farhadi, 2019, p. 7). In most countries, about 20 to 50% of the gross domestic product (GDP) is allocated to housing (Malmir and Spicar, 2020, p. 450).…”

Section: Theoretical Foundationsmentioning

confidence: 99%

“…Therefore, we will review the past research to make the connection between theory and practice, as well as to get a better understanding of the theoretical gap. Based on the conducted research, some factors such as socio-economic variables (Mirkatouli et al , 2018; Ozus et al , 2007); proximity to various uses (parks, urban services, access to gardens and agricultural lands and commercial-administrative use) (Safdari Molan and Farhadi, 2019); location and quality of planning (Ozus et al , 2007); welfare facilities (Cai et al , 2020); construction cost, population growth, population density, climatic characteristics and household income (Manning, 1988); socio-demographic and environmental factors (Cellmer et al , 2020); population growth, income changes, construction costs and interest rates (Winker and Jud, 2002); adjacent to recreational sites (such as lakes, mountains and landscapes) (Hu et al , 2016; Wen et al , 2015); government policies (Yuan et al , 2018); geographical barriers (Bruyne and Hove, 2013); housing market plans (Liu, 2010); economic factors (Wu et al , 2017); land prices (Bourassa et al , 2011); environmental factors (Brasington, 2005); green space (Zhang and Dong, 2018); public and rail transportation (Yang et al , 2020; Vichiensan and Miyamoto, 2010); occupation and housing quality (Tomal, 2021); physical and spatial factors (Hai-Zhen et al , 2005; Liang et al , 2018); educational facilities (Wen et al , 2019); growth policies (such as intelligent growth) (Bagheri and Shaykh-Baygloo, 2021) are the most critical factors influencing housing price fluctuations. In Tehran, the above variables affect the zoning of housing prices and cause the price difference between different areas of Tehran to increase daily.…”

Section: Theoretical Foundationsmentioning

confidence: 99%

See 1 more Smart Citation

Spatial analysis of housing prices in Tehran city

Hosseini

Bahadori

Charkhan

2022

IJHMA

View full text Add to dashboard Cite

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.

show abstract

Section: Theoretical Foundationsmentioning

confidence: 99%

Section: Theoretical Foundationsmentioning

confidence: 99%

Spatial analysis of housing prices in Tehran city

Hosseini

Bahadori

Charkhan

2022

IJHMA

View full text Add to dashboard Cite

show abstract

“…Its altitude varies from sea level between 1800 m in the north to 1200 m in the middle to 1050 m in the south (Figure 1). Tehran has a 730 km 2 total area [56]. The Middle East's largest metropolis, Tehran, is now ranked 16th among the most densely populated cities on the planet.…”

Section: Covid-19 In Tehranmentioning

confidence: 99%

“…According to the most recent Iranian population and housing census, it has a population of 8,693,706 inhabitants. There are 22 districts in Tehran [51,[56][57][58].…”

Section: Covid-19 In Tehranmentioning

confidence: 99%

Air Quality and Environmental Effects Due to COVID-19 in Tehran, Iran: Lessons for Sustainability

et al. 2022

View full text Add to dashboard Cite

The 2019 coronavirus disease (COVID-19) global pandemic spread can be considered a disastrous crisis that, in a given geographical area, significantly affects the increase in mortality rate with direct and indirect impacts on different scales and social, economic, political, and ecological factors. The effects of this crisis can be more intense in urban areas with high population density. Due to the more significant presence of vulnerable groups, the risk of death increases significantly. This research describes the environmental impacts of the COVID-19 pandemic in the city of Tehran, the 37th most populated city in the world. The concentration of six air pollutants (carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), particulate matter with a diameter of 10 microns (PM10), sulfur dioxide (SO2), particulate matter with a diameter of fewer than 2.5 microns (PM2.5) and the Air Quality Index (AQI) were measured in 22 urban regions of Tehran before (20 March) and from (21 March to 10 February) the lockdown, in air pollution evaluation stations. In order to conduct this research, first, the values of the air pollutant indices of the 22 districts of Tehran in the two previous periods (before 20 March) and during quarantine (21 March to 10 February) were obtained from the air pollution measurement stations of the 22 districts of Tehran, together with the results. After the operationalization and quantification of the indicators according to the research objectives, they were entered into the ArcGIS environment, and the spatial analysis of each pollutant was performed, before and during the quarantine. Finally, it was found that the AQI was reduced from 74.95 to 54.15.

show abstract

“…The rapid urbanization, excessive building construction and population density, the loss of public facilities, and the unparalleled demand for infrastructure development have put pressure on the sustainability of cities (Ali et al, 2019). Urban management follows policies, plans, programs, and procedures seeking to ensure coordination between population growth and access to basic infrastructure, and housing (Hosseini et al, 2022, Safdari andFarhadi, 2019). The study of urban growth is a branch of urban geography that focuses on cities and towns in terms of their physical and demographic expansion (Bhatta and Saraswati, 2010).…”

Section: Journal Of Settlements and Spatial Planningmentioning

confidence: 99%

Investigating Land Use Change in Kabul, Afghanistan

Hussaini¹,

Farhadi²,

Hosseini³

et al. 2022

JSSP

Self Cite

View full text Add to dashboard Cite

Land use change and land cover are considered as some of the important and effective factors of global environmental change. Therefore, understanding and predicting the causes, processes, and consequences of land use change has become a major global challenge. Kabul is the most populated city in Afghanistan. The face of Kabul has changed after a relatively peaceful period since 2001. The purpose of this study is to analyze land use change in Kabul from 2001 to 2019. We used the quantitative approach to analyse data provided by satellite images of Kabul in 2001 and 2019 from Landsat 8 and 7. Data was processed in ERDAS IMAGINE and Arc Map software to results in the final output. Urban land cover was classified into four classes, namely built-up area, green area, empty space, and mountain, and land cover changes were detected. The results of the image comparison between 2001 and 2019 show that the aggregated built-up area and empty space land cover increased by 69.1749 sq km and, correspondingly, 45.2538 sq km, whereas the green area decreased by 113.4216 sq km. We concluded that land cover has changed improperly. The rate of urban green space per individual is currently very low. These results indicate that the city is in a critical urban situation and the government should provide a comprehensive plan for controlling urban growth and fixing the problems caused by improper land use change in the city.

show abstract

Spatial Analysis of the Proximity Effects of Land Use Planning on Housing Prices (Case Study: Tehran, Iran)

Cited by 6 publications

References 17 publications

Spatial analysis of housing prices in Tehran city

Spatial analysis of housing prices in Tehran city

Air Quality and Environmental Effects Due to COVID-19 in Tehran, Iran: Lessons for Sustainability

Investigating Land Use Change in Kabul, Afghanistan

Contact Info

Product

Resources

About