IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v26y2018i1p122-130n10.html
   My bibliography  Save this article

Conditional Model of Real Estate Valuation for Land Located in Different Land Use Zones

Author

Listed:
  • Bieda Agnieszka

    (AGH University of Science and Technology, Department of Geomatics)

Abstract

Real estate valuation is carried out correctly if it takes into account all the conditions occurring on a given market at the time of its performance. One of the important determinants of correct valuation is the proper determination of the land use class of the property being valued. It is equally important to find similar properties with the same land use classes as the property subjected to valuation. This does not pose a problem when a property is located within an area with one specific land use zone. If, however, its land use zoning is not homogeneous, finding similar properties may be difficult.If those contained in the database of comparable properties differ from the real estate being valued with regard to land uses of individual areas or proportions of areas with a specific use, it is suggested to divide transaction prices obtained for the whole property into components of those prices that correspond to the fragments of this property with specific land uses. In this paper, the conditional model has been used for this purpose.

Suggested Citation

  • Bieda Agnieszka, 2018. "Conditional Model of Real Estate Valuation for Land Located in Different Land Use Zones," Real Estate Management and Valuation, Sciendo, vol. 26(1), pages 122-130, March.
  • Handle: RePEc:vrs:remava:v:26:y:2018:i:1:p:122-130:n:10
    DOI: 10.2478/remav-2018-0010
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2018-0010
    Download Restriction: no

    File URL: https://libkey.io/10.2478/remav-2018-0010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhangcheng Chen & Yueming Hu & Chen Jason Zhang & Yilun Liu, 2017. "An Optimal Rubrics-Based Approach to Real Estate Appraisal," Sustainability, MDPI, vol. 9(6), pages 1-19, May.
    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. Adamczyk Tomasz & Bieda Agnieszka & Parzych Piotr, 2019. "Principles and Criteria for using Statistical Parametric Models and Conditional Models for Valuation of Multi-Component Real Estate," Real Estate Management and Valuation, Sciendo, vol. 27(2), pages 33-43, June.
    2. Daikun Wang & Victor Jing Li, 2019. "Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    3. Renigier-Biłozor, Małgorzata & Źróbek, Sabina & Walacik, Marek & Borst, Richard & Grover, Richard & d’Amato, Maurizio, 2022. "International acceptance of automated modern tools use must-have for sustainable real estate market development," Land Use Policy, Elsevier, vol. 113(C).

    More about this item

    Keywords

    conditional model; areas of different land uses; land use of the property; real estate valuation;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

    Statistics

    Access and download statistics

    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:vrs:remava:v:26:y:2018:i:1:p:122-130:n:10. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.