IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v22y2014i4p81-91n8.html
   My bibliography  Save this article

Multi-Criteria Land use Function Optimization

Author

Listed:
  • Biłozor Andrzej

    (Faculty of Geodesy and Land Management University of Warmia and Mazury in Olsztyn)

  • Renigier-Biłozor Małgorzata

    (Faculty of Geodesy and Land Management University of Warmia and Mazury in Olsztyn)

  • Furman Aleksandra

    (Faculty of Geodesy and Land Management University of Warmia and Mazury in Olsztyn)

Abstract

Space as a public good should be used in a way that is consistent with recognized social, cultural, aesthetic, economical and ecological values. The optimization of space is associated with its limitations, thus it should be subjected to rational management. Optimizing the function of city space involves identifying the most mismatched features of the area and a proposal to convert them into functions best suited with respect to the existing natural and anthropogenic, social, economic and ecological conditions. The selection criteria of the optimal use of land will be presented, as well as the parameters characterizing them and the possibility of using chosen multi-criteria methods of analysis. Social, economic and ecological criteria adopted for the analysis are the basis for the sustainable development of an area and coincide with factors which ought to be taken into account during the development of land-planning documents.

Suggested Citation

  • Biłozor Andrzej & Renigier-Biłozor Małgorzata & Furman Aleksandra, 2014. "Multi-Criteria Land use Function Optimization," Real Estate Management and Valuation, Sciendo, vol. 22(4), pages 81-91, February.
    • Handle: RePEc:vrs:remava:v:22:y:2014:i:4:p:81-91:n:8
    DOI: 10.2478/remav-2014-0039
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2014-0039
    Download Restriction: no
    File URL: https://libkey.io/10.2478/remav-2014-0039?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
    ---><---

    More about this item

    Keywords

    multi-criteria analysis; optimization; land use;
    All these keywords.

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • 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:22:y:2014:i:4:p:81-91:n:8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.