IDEAS home Printed from https://ideas.repec.org/a/pid/journl/v62y2023i4p493-520.html
   My bibliography  Save this article

Revisiting Urban Immovable Property Valuation: An Appraisal of Spatial Heterogeneities in Punjab Using Big Data (Article)

Author

Listed:
  • Shoaib Khalid

    (Government College University, Faisalabad.)

  • Fariha Zameer

    (Government College University, Faisalabad.)

Abstract

This study employed big data and spatial analysis to assess property values in two cities, Lahore and Faisalabad. Traditional housing price models overlook spatial nuances, focusing solely on structural attributes. To address this, we constructed valuation models using ordinary least square regression and Fast Geographic Weighted Regression (FastGWR), implemented through Python and MPI, based on spatial variables. The models explained up to 75 percent of variance in Faisalabad and around 85 percent in Lahore. Factors like floor area, proximity of health facilities, recreational sites, and marketplaces add a premium to prices, while the nearness of educational institutions, worship places, and solid waste transfer stations or dumping sites lessen the property values in both cities. However, the proximity of industrial units and graveyards affects property values negatively in Lahore but positively in Faisalabad. This study highlights the critical significance of spatial factors in urban immovable property appraisal. As a result, it is recommended to integrate these factors into the process of policy formulation and urban planning.

Suggested Citation

  • Shoaib Khalid & Fariha Zameer, 2023. "Revisiting Urban Immovable Property Valuation: An Appraisal of Spatial Heterogeneities in Punjab Using Big Data (Article)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(4), pages 493-520.
    • Handle: RePEc:pid:journl:v:62:y:2023:i:4:p:493-520
    as

    Download full text from publisher

    File URL: https://file.pide.org.pk/pdfpdr/2023/493-520.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alice Barreca & Rocco Curto & Diana Rolando, 2020. "Urban Vibrancy: An Emerging Factor that Spatially Influences the Real Estate Market," Sustainability, MDPI, vol. 12(1), pages 1-23, January.
    2. Laura Gabrielli & Nick French, 2020. "Pricing to market: property valuation methods – a practical review," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 39(5), pages 464-480, December.
    3. Timothy J. Fik & David C. Ling & Gordon F. Mulligan, 2003. "Modeling Spatial Variation in Housing Prices: A Variable Interaction Approach," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 31(4), pages 623-646, December.
    4. Christopher Bitter & Gordon Mulligan & Sandy Dall’erba, 2007. "Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method," Journal of Geographical Systems, Springer, vol. 9(1), pages 7-27, April.
    5. Do, A Quang & Wilbur, Robert W & Short, James L, 1994. "An Empirical Examination of the Externalities of Neighborhood Churches on Housing Values," The Journal of Real Estate Finance and Economics, Springer, vol. 9(2), pages 127-136, September.
    6. Sebastian Brandt & Wolfgang Maennig & Felix Richter, 2014. "Do Houses of Worship Affect Housing Prices? Evidence from Germany," Growth and Change, Wiley Blackwell, vol. 45(4), pages 549-570, December.
    7. Laura O. Taylor, 2008. "Theoretical Foundations and Empirical Developments in Hedonic Modeling," Springer Books, in: Andrea Baranzini & José Ramirez & Caroline Schaerer & Philippe Thalmann (ed.), Hedonic Methods in Housing Markets, chapter 1, pages 15-37, Springer.
    8. Rafiq Ahmed & Syed Tehseen Jawaid & Samina Khalil, 2021. "Bubble Detection in Housing Market: Evidence From a Developing Country," SAGE Open, , vol. 11(2), pages 21582440211, April.
    Full references (including those not matched with items on IDEAS)

    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. Franco, Sofia F. & Macdonald, Jacob L., 2018. "The effects of cultural heritage on residential property values: Evidence from Lisbon, Portugal," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 35-56.
    2. 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).
    3. John I. Carruthers & David E. Clark, 2010. "Valuing Environmental Quality: A Space‐Based Strategy," Journal of Regional Science, Wiley Blackwell, vol. 50(4), pages 801-832, October.
    4. 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.
    5. Dieudonné Tchuente & Serge Nyawa, 2022. "Real estate price estimation in French cities using geocoding and machine learning," Annals of Operations Research, Springer, vol. 308(1), pages 571-608, January.
    6. Jacob Macdonald & Sofia Franco, 2015. "The Effects of Tangible Immovable Cultural Heritage on Residential Property Values: Evidence from Lisbon, Portugal," ERSA conference papers ersa15p657, European Regional Science Association.
    7. Deborah A. Carroll & Christopher B. Goodman, 2022. "Neighborhood Institutions and Residential Home Sales: Evaluating the Impact of Property Tax Exemptions," The Journal of Real Estate Finance and Economics, Springer, vol. 64(2), pages 247-273, February.
    8. Nikodem Szumilo & Edyta Laszkiewicz & Franz Fuerst, 2017. "The spatial impact of employment centres on housing markets," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 472-491, October.
    9. Michalis Doumpos & Dimitrios Papastamos & Dimitrios Andritsos & Constantin Zopounidis, 2021. "Developing automated valuation models for estimating property values: a comparison of global and locally weighted approaches," Annals of Operations Research, Springer, vol. 306(1), pages 415-433, November.
    10. Anping Chen & Marlon Boarnet & Mark Partridge & Wenjie Wu & Guanpeng Dong, 2014. "Valuing The “Green” Amenities In A Spatial Context," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 569-585, September.
    11. Anping Chen & Marlon Boarnet & Mark Partridge & Siqi Zheng & Weizeng Sun & Rui Wang, 2014. "Land Supply And Capitalization Of Public Goods In Housing Prices: Evidence From Beijing," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 550-568, September.
    12. Wenjie Wu & Guanpeng Dong & Wenzhong Zhang, 2017. "The puzzling heterogeneity of amenity capitalization effects on land markets," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 135-153, March.
    13. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    14. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    15. Chung-Chang Lee, 2009. "Hierarchical Linear Modeling to Explore the Influence of Satisfaction with Public Facilities on Housing Prices," International Real Estate Review, Global Social Science Institute, vol. 12(3), pages 252-272.
    16. repec:grz:wpaper:2014-05 is not listed on IDEAS
    17. Yang, Ziqi & Li, Xinghua & Guo, Yuntao & Qian, Xinwu, 2023. "Understanding active transportation accessibility's impacts on polycentric and monocentric cities' housing price," Research in Transportation Economics, Elsevier, vol. 98(C).
    18. Chris Leishman & Greg Costello & Steven Rowley & Craig Watkins, 2013. "The Predictive Performance of Multilevel Models of Housing Sub-markets: A Comparative Analysis," Urban Studies, Urban Studies Journal Limited, vol. 50(6), pages 1201-1220, May.
    19. Arturo Bujanda & Thomas M. Fullerton, 2017. "Impacts of transportation infrastructure on single-family property values," Applied Economics, Taylor & Francis Journals, vol. 49(51), pages 5183-5199, November.
    20. Alice Barreca, 2022. "Architectural Quality and the Housing Market: Values of the Late Twentieth Century Built Heritage," Sustainability, MDPI, vol. 14(5), pages 1-24, February.
    21. Natale Arcuri & Manuela De Ruggiero & Francesca Salvo & Raffaele Zinno, 2020. "Automated Valuation Methods through the Cost Approach in a BIM and GIS Integration Framework for Smart City Appraisals," Sustainability, MDPI, vol. 12(18), pages 1-16, September.

    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:pid:journl:v:62:y:2023:i:4:p:493-520. 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: Khurram Iqbal (email available below). General contact details of provider: https://edirc.repec.org/data/pideipk.html .

    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.