IDEAS home Printed from https://ideas.repec.org/a/gam/jgeogr/v2y2022i1p8-131d754574.html
   My bibliography  Save this article

Spatial Modelling and Geovisualization of House Prices in the Greater Athens Region, Greece

Author

Listed:
  • Polixeni Iliopoulou

    (Department of Surveying & Geoinformatics Engineering, Egaleo Park Campus, University of West Attica, Ag. Spyridonos Str., 12243 Athens, Greece)

  • Elissavet Feloni

    (Department of Surveying & Geoinformatics Engineering, Egaleo Park Campus, University of West Attica, Ag. Spyridonos Str., 12243 Athens, Greece
    Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780 Athens, Greece)

Abstract

In this article, geovisualization is used for the presentation and interpretation of spatial analysis results concerning several house attributes. For that purpose, point data for houses in the region of Attica, Greece are analyzed. The data concern houses for sale and comprise structural characteristics, such as size, age and floor, as well as locational attributes. Geovisualization of house characteristics is performed employing spatial interpolation techniques, kriging techniques, in particular. Spatial autocorrelation in the data is examined through the calculation of the Moran’s I coefficient, while spatial clusters of houses with similar characteristics are identified using the Getis-Ord Gi* local spatial autocorrelation coefficient. Finally, a model is developed in order to predict house prices according to several structural and locational characteristics. In that respect, a classic hedonic pricing model is constructed, which is consequently developed as a geographically weighted regression (GWR) model in a GIS environment. The results of this model indicate that two characteristics, i.e., size and age, account for most of the variability in house prices in the study region. Since GWR is a local model producing different regression parameters for each observation, it is possible to obtain the spatial distribution of the regression parameters, which indicate the significance of the house characteristics for price determination in different locations in the study area.

Suggested Citation

  • Polixeni Iliopoulou & Elissavet Feloni, 2022. "Spatial Modelling and Geovisualization of House Prices in the Greater Athens Region, Greece," Geographies, MDPI, vol. 2(1), pages 1-21, February.
  • Handle: RePEc:gam:jgeogr:v:2:y:2022:i:1:p:8-131:d:754574
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2673-7086/2/1/8/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2673-7086/2/1/8/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arnab Bhattacharjee & Eduardo Castro & João Marques, 2012. "Spatial Interactions in Hedonic Pricing Models: The Urban Housing Market of Aveiro, Portugal," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 133-167, March.
    2. Shanaka Herath & Johanna Choumert & Gunther Maier, 2015. "The value of the greenbelt in Vienna: a spatial hedonic analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 349-374, March.
    3. Karolien De Bruyne & Jan Van Hove, 2013. "Explaining the spatial variation in housing prices: an economic geography approach," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1673-1689, May.
    4. Efthymiou, D. & Antoniou, C., 2013. "How do transport infrastructure and policies affect house prices and rents? Evidence from Athens, Greece," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 1-22.
    5. Marianthi Stamou & Angelos Mimis & Antonis Rovolis, 2017. "House price determinants in Athens: a spatial econometric approach," Journal of Property Research, Taylor & Francis Journals, vol. 34(4), pages 269-284, October.
    6. Angelos Mimis & Antonis Rovolis & Marianthi Stamou, 2013. "Property valuation with artificial neural network: the case of Athens," Journal of Property Research, Taylor & Francis Journals, vol. 30(2), pages 128-143, June.
    7. R. Kelley Pace & James P. LeSage, 2004. "Spatial Statistics and Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 29(2), pages 147-148, September.
    8. Jorge Chica-Olmo & Rafael Cano-Guervos & Mario Chica-Rivas, 2019. "Estimation of Housing Price Variations Using Spatio-Temporal Data," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    9. Daniel P. McMillen & John McDonald, 2004. "Reaction of House Prices to a New Rapid Transit Line: Chicago's Midway Line, 1983–1999," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(3), pages 463-486, September.
    10. Andrea Baranzini & José Ramirez & Caroline Schaerer & Philippe Thalmann (ed.), 2008. "Hedonic Methods in Housing Markets," Springer Books, Springer, number 978-0-387-76815-1, January.
    11. A. Fotheringham & Ricardo Crespo & Jing Yao, 2015. "Exploring, modelling and predicting spatiotemporal variations in house prices," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 417-436, March.
    12. Anderson, Soren T. & West, Sarah E., 2006. "Open space, residential property values, and spatial context," Regional Science and Urban Economics, Elsevier, vol. 36(6), pages 773-789, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Emilio Ramírez-Juidías & José-Lázaro Amaro-Mellado & Jorge Luis Leiva-Piedra, 2022. "Influence of the Urban Green Spaces of Seville (Spain) on Housing Prices through the Hedonic Assessment Methodology and Geospatial Analysis," Sustainability, MDPI, vol. 14(24), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sisman, S. & Aydinoglu, A.C., 2022. "A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in Istanbul," Land Use Policy, Elsevier, vol. 119(C).
    2. Christian Almer & Stefan Boes & Stephan Nüesch, 2017. "Adjustments in the housing market after an environmental shock: evidence from a large-scale change in aircraft noise exposure," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 918-938.
    3. Hao Wu & Hongzan Jiao & Yang Yu & Zhigang Li & Zhenghong Peng & Lingbo Liu & Zheng Zeng, 2018. "Influence Factors and Regression Model of Urban Housing Prices Based on Internet Open Access Data," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    4. Nana Cui & Hengyu Gu & Tiyan Shen & Changchun Feng, 2018. "The Impact of Micro-Level Influencing Factors on Home Value: A Housing Price-Rent Comparison," Sustainability, MDPI, vol. 10(12), pages 1-23, November.
    5. Dongkwan Lee & Choongik Choi, 2021. "An Analysis of the Effects of Development-Restricted Areas on Land Price Using Spatial Analysis," Land, MDPI, vol. 10(6), pages 1-21, June.
    6. Julia Koschinsky & Nancy Lozano-Gracia & Gianfranco Piras, 2012. "The welfare benefit of a home’s location: an empirical comparison of spatial and non-spatial model estimates," Journal of Geographical Systems, Springer, vol. 14(3), pages 319-356, July.
    7. Sofia Vale & Felipa de Mello-Sampayo, 2021. "Effect of Hierarchical Parish System on Portuguese Housing Rents," Sustainability, MDPI, vol. 13(2), pages 1-17, January.
    8. Liu, Xiangping & Taylor, Laura O. & Hamilton, Timothy L. & Grigelis, Peter E., 2013. "Amenity values of proximity to National Wildlife Refuges: An analysis of urban residential property values," Ecological Economics, Elsevier, vol. 94(C), pages 37-43.
    9. Shengxiao Li & Luoye Chen & Pengjun Zhao, 2019. "The impact of metro services on housing prices: a case study from Beijing," Transportation, Springer, vol. 46(4), pages 1291-1317, August.
    10. Rennert, Lindiwe, 2022. "A meta-analysis of the impact of rail stations on property values: Applying a transit planning lens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 165-180.
    11. Marilena Mironiuc & Elena Ionașcu & Maria Carmen Huian & Alina Țaran, 2021. "Reflecting the Sustainability Dimensions on the Residential Real Estate Prices," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    12. Chang, Zheng & Füss, Roland & von Möllendorff, Johannes & Olaf Olaussen, Jon & Weigand, Alois, 2023. "Metro’s night travel offer on the weekend and its impact on house prices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    13. Wei Li & Jean-Daniel Saphores, 2012. "A Spatial Hedonic Analysis of the Value of Urban Land Cover in the Multifamily Housing Market in Los Angeles, CA," Urban Studies, Urban Studies Journal Limited, vol. 49(12), pages 2597-2615, September.
    14. Wenjie Wu, 2012. "Spatial Variations in Amenity Values: New Evidence from Beijing, China," SERC Discussion Papers 0113, Centre for Economic Performance, LSE.
    15. Basso, Leonardo J. & Navarro, Matias & Silva, Hugo E., 2021. "Public transport and urban structure," Economics of Transportation, Elsevier, vol. 28(C).
    16. Tan, Ronghui & He, Qingsong & Zhou, Kehao & Xie, Peng, 2019. "The effect of new metro stations on local land use and housing prices: The case of Wuhan, China," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    17. Radosław Trojanek, 2016. "The impact of green areas on dwelling prices: the case of Poznań city," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(2), pages 27-35.
    18. Ulrich B. Morawetz & H. Allen Klaiber, 2022. "Does housing policy impact income sorting near urban amenities? Evidence from Vienna, Austria," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(2), pages 411-454, October.
    19. Marta Sylla & Tadeusz Lasota & Szymon Szewrański, 2019. "Valuing Environmental Amenities in Peri-Urban Areas: Evidence from Poland," Sustainability, MDPI, vol. 11(3), pages 1-15, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jgeogr:v:2:y:2022:i:1:p:8-131:d:754574. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.