Studying the Impact of Spatial Distribution of Urban Services on Land Prices (Case Study: Ilam City)

Document Type : Research Paper

Authors

1 M.S. Student of Geography and Urban Planning, Ilam University, Ilam, Iran

2 Associate Professor of Department of Architecture and Urban Planning, Ilam University, Ilam, Iran

Abstract

Housing prices are of great economic importance both at the national and local levels. In recent years, following the sharp and rapid increase in housing prices in Iran, policymakers and officials have focused on identifying the mechanism of these increases and the determining factors related to them. Housing prices are affected by several factors, including the quality of transportation infrastructure, availability and access to public services, the socio-economic status of residents, location, and neighborhood characteristics.
The aim of this study is to investigate the distribution of urban service uses, including (distance from the city center, road network, commercial centers, parks, and green spaces) on land prices in Ilam city. This study is applied in terms of purpose and descriptive-analytical in terms of methodology, based on documentary studies and field surveys. Moran's statistical indices, the nearest neighbor distance, and the geographic weight model in ArcGIS software were used to analyze the data. The results show that the distribution of green space and commercial land uses is clustered based on the nearest neighbor. The results of the hot spot analysis algorithm indicate a high price distribution in the city center, and in other areas it is less homogeneous and does not fall into a specific spot. Cold spots are also seen more in the out-of-center and towards the outskirts of the city. 

Keywords

Main Subjects

References

Akhgari, M., Salarzaei, S. (2021). An analysis of spatial justice in the distribution of services with an emphasis on ur ban management (case study: Dis trict 4 neighborhoods of Zahedan city, Zagros Landscape Geography and Urban Planning Quarterly, 14(51).http://georesearch.ir/article-1-118-en.html
Asadi, N., Bayabani, J., Mehrara, M.(2021), Spatial study of the effect of residential land prices on housing rental rates in the provinces of Iran, Quarterly Journal of Urban Economics, 6 (1), 41-56. (In Persian)https://doi.org/10.22108/ue.2022.134129.1219
Boad Technique Consulting Engineers. (2013), Comprehensive Plan Review Studies, General Directorate of Roads and Urban Development of Ilam Province. (In Persian)
Cabras, I.; Sohns, F.; Canduela, J.; Toms, S. (2020), Public houses and house prices in Great Britain: A panel analysis. Eur. Plan. Stud, 29, 163–180.https://doi.org/10.1080/09654313.2020.1726294.
Asghari Zamani, A., Alizadeh Zenozi, Sh., Ghorbani, R. (2018). Measuring ur ban areas based on the distribution of urban uses and services and its effects on the spatial distribution of population (case study: Municipal ity districts of Marand city). Amish Environment, 11(43), 1-20. SID. (in Persian)https://doi.org 10.22080/usfs.2024.26457.2407   
Cellmer, R. and Bełej, M. (2019) ‘Impact of a Vicinity of Airport on the Prices of Single-Family Houses with the Use of Geospatial Analysis’. https://doi.org/10.3390/ijgi8110471
Chen, W. Y. (2017), Environmental externalities of urban river pollution and restoration: A hedonic analysis in Guangzhou (China). Landscape and Urban Planning, 157,170–179.http://dx.doi.org/10.1016/j.landurbplan.2016.06.010
Chen, X., Shao, S., Tian, Z., Xie, Z., & Yin, P. (2017), Impacts of air pollution and its spatial spillover effect on public health based on China’s big data sample. Journal of Cleaner Production, 142, 915–925.http://dx.doi.org/10.1016/j.jclepro.2016.02.119
Chen, S., Zhuang, D., & Zhang, H. (2020), GIS-based spatial autocorrelation analysis of housing prices oriented towards a view of spatiotemporal homogeneity and nonstationarity: a case study of Guangzhou, China. Complexity, 2020.http://dx.doi.org/10.1155/2020/1079024
Darabi, H., Ezatpanah, B. & Hosseinzadeh Dalir, K. (2021). Analysis of the Affecting Economic Components on Sustainable Housing (Case Study: Kermanshah City). Urban Economics, 6(2), 129-148. (in Persian) https://doi.org/10.22108/ue.2023.137231.1254
Duan, J., Tian, G., Yang, L., & Zhou, T. (2021). Addressing the macroeconomic and hedonic determinants of housing prices in Beijing Metropolitan Area, China. Habitat International, 113.https://doi.org/10.1016/j.habitatint.2021.102374
Dube, J.; Legros, D.; Theriault, M. A. (2014), Spatial Difference-in-differences estimator to evaluate the effect of change in public mass transit systems on house prices. Transp. Res. Part B, 64, 24 - 40.http://dx.doi.org/10.1016/j.trb.2014.02.007
Dunsky, R.M.; Follain, J.R.; Giertz, S.H.(2021), Pricing Credit Risk for Mortgages: Credit Risk Spreads and Heterogeneity across Housing Markets. Real Estate Econ. 2021, 21, 997–1032.http://dx.doi.org/10.1111/1540-6229.12264
Fasihi, H., Parizadi, T., Pooryahya, L. (2022). Analyzing the availability and spa tial pattern of public services dis tribution in uban neighborhoods (Case study: District 15 of Tehran Municipality), Studies and Planning of Human Settlements, No. 60.http://dx.doi.org/10.22080/usfs.2024.26457.2407
Fayazi, MT., Hemmatjoo, A. (2022), The impact of investment in urban development and construction projects on the price of real estate in Tehran, Financial and Economic Policies, 38, 103-145. (In Persian)https://doi.org/10.52547/qjfep.10.38.103
Green, K. P., Filipowicz, J., Lafleur, S., and Herzog, I. (2016). The impact of land use regulation on housing supply in Canada, Vancouver, Canada: Fraser Institute.
Haji Heydari, A., Ezzat Panah, B., Meshkini, A. (2022), Spatial analysis of factors affecting housing prices in Tehran metropolis. Quarterly Journal of Regional Planning, 12 (48), 171-188. (In Persian)https://doi.org/10.30495/jzpm.2021.26895.3814
Hataminejad, H., Kalantari Khalilabad, H., Alikhani H., Tarshizi, M., Bajalal. R. (2020). Analyzing social justice with emphasis on the spatial distribu tion of urban uses and the level of satisfaction of citizens in District 1 of Mashhad. Shabak Journal, 6(2).https://www.sid.ir/fa/VEWSSID/J_pdf/10003813995301.pdf.
Jing Yii,K., Tan Ch.T., Ho, W.K., Kwan, X.H., Nerissa, F.T., Tan, Y & Wong K.H. (2021), Land availability and housing price in China: Empirical evidence from nonlinear autoregressive distributed lag (NARDL), Land Use Policy, 113,https://doi.org/10.1016/j.landusepol.2021.105888
Jim, C. Y., & Chen, W. Y. (2007), Consumption preferences and environmental externalities: A hedonic analysis of the housing market in Guangzhou. Geof rum, 38(2), 414–431.https://doi.org/10.1016/j.geoforum.2006.10.002
Kim, H.-S., Lee, G.-E., Lee, J.-S., & Choi, Y. (2019). Understanding the local impact of urban park plans and park typology on housing price: A case study of the Busan metropolitan region, Korea. Landscape and Urban Planning, 184, 1–11.https://www.sid.ir/10.1016/j.landurbplan.2018.12.007
La Rosa, D., Takatori, C., Shimizu, H., & Privitera, R. (2018), A planning framework to evaluate demands and preferences by different social groups for accessibility to urban greenspaces. Sustainable cities and society, 36, 346–362.https://doi.org/10.1016/j.scs.2017.10.026
Li, L., Du, Q., Ren, F., & Ma, X. (2019), Assessing spatial accessibility to hi erarchical urban parks by multi-types of travel distance in Shen zhen, China. International Journal of Environmental Research and Public Health, 16(6), 1038.https://10.3390/ ijerph1606103  
Masoumi, L., Pourmohammadi, M., Ghorbani, R. (2022), An effective analysis of the factors affecting housing pricing (case study: District 5 of Tehran Municipality), Economics and Urban Planning, 3 (4), 84-97. (In Persian)https://doi.org/10.22034/uep.2022.363115.1284
Nasiri Hande Khale, I. (2017). Analyzing spatial inequalities in the distribu tion of urban services with the ap proach of spatial justice using Vicor model (the case: Qazvin city). Jour nal of Geographical Survey of Space, 8(28): 133-154.https://gps.gu.ac.ir/article_70704_946ca9ec78348448907515f322470db8.pdf?lang=en
Nikpour, A., Rezazadeh, M., Al-Haghli-Tabar-Nashli, F. (2019), Analysis of the role of factors affecting land prices using the Geographic Weighted Regression (GWR) model, case study: Babolsar city, Quarterly Journal of Geography and Urban Planning, 9 (31), 93-112. (In Persian)https://doi.org/10.22111/gaij.2019.4707
Qu, Y.B.; Jiang, G.H.; Li, Z.T.; Shang, R.; Zhou, D.Y.(2020), Understanding the multidimensional morphological characteristics of urban idle land: Stage, subject, and spatial heterogeneity. Cities, 97, 102492.https://doi.org/10.1016/j.cities.2019.102492
Qiu, N., Cheng, J., & Zhang, T. (2022), Spatial disparity and Structural ine quality in disability patterns across Tianjin municipality: A multiple deprivation perspective. Habitat International, 130, 102685.https://doi.org/10.1016/j.habitatint, 102685
Statistical Center of Iran (2011-2016), General Population and Housing Census. (In Persian)
Stockhammer, E.; Bengtsson, E. (2020), Financial effects in historic consumption and investment functions. Int. Rev. Appl. Econ, 34, 304–326.https://doi.org/10.1080/02692171.2020.1732307
Schneider, A., Chang, C., & Paulsen, K. (2015), The changing spatial form of cities in Western China. Landscape and Urban Planning, 135, 40–61.https://doi.org/10.1016/j.landurbplan.2014.11.005
Tong, L., Hu, S., Frazier, A. E., & Liu, Y. (2017), multi-order urban development model and sprawl patterns: An analysis in China, 2000–2010. Landscape and Urban Planning, 167, 386–398.https://doi.org/10.1016/j.landurbplan.2017.07.001.
Valdez Gómez de la Torre, F. M., & Chen, X. (2024). Housing price determinants in Ecuador: A spatial hedonic analysis. International Journal of Housing Markets and Analysis, 17(6), 1461-1487.https://doi.org/10.1108/IJHMA-09-2023-0121
Wang, C.-H., Chen, N. ( 2017), A geographically weighted regression approach to investigating the spatially varied built-environment effects on community opportunity. J. Transp. Geogr. 62, 136–147.https://doi.org/ 10.1016/j.jtrangeo.2017.05.011     
World Economic Forum (2016). Inspiring future cities & urban services shap ing the future of urban develop ment & services initiative. https://www.pwc.es
Xu, Z., Zhang, J., Zhang, Z., Li, Ch., & Wang, K. (2020). How to perceive the impacts of land supply on urban management efficiency: Evidence from China’s 315 cities. Habitat International, 98, 1-14.https://doi.org/10.1016/j.habitatint.2020.102145
Yu, H. (2015). The Spillovers and Heterogeneous Responses of Housing Prices: A GVAR Analysis of China’s 35 Major Cities, Journal of the Asia Pacific Economy, 20(4), 535-558.https://doi.org/10.1080/13547860.2015.1045527
Zakaria, F., & Fatine, F. A. (2021). Towards the hedonic modelling and determinants of real estates price in Morocco. Social Sciences & Humanities Open, 4(1). https://doi.org/10.1016/j.ssaho.2021.100176
Zali, S., Pahlavani, P., Bigdali, B. (2023), Spatiotemporal analysis of factors affecting housing prices (case study: District 5 of Tehran Municipality), Land Planning, 15 (1), 115-130. (In Persian)https://doi.org/10.22059/jtcp.2022.341584.670318
Zeinali Azim, A., Mohammadian, B., Jadiri Abbasi, M., Babazadeh Oskouei, S, Akhlaqi, L. (2023), Factors affecting housing prices from the perspective of residents in Cherndab neighborhood of Tabriz, Economics and Urban Planning, 4 (3), 172-187. (In Persian)https://doi.org/10.22034/uep.2023.424496.1430
Zhang, J., Yu, Z., Cheng, Y., Chen, C., Wan, Y., Zhao, B., & Vejre, H. (2020), Evaluating the disparities in urban green space provision in com munities with diverse built environments: The case of a rapidly urbanizing Chinese city. Building and Environment, 183, 107170. https://doi.org/10.1016/j.buildenv.2020.107170
Geography and Territorial Spatial Arrangement
Volume 15, Issue 57
November 2025
Pages 113-142

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History

  • Receive Date: 08 January 2025
  • Revise Date: 07 October 2025
  • Accept Date: 11 October 2025

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