IDEAS home Printed from https://ideas.repec.org/a/vrs/remava/v21y2013i3p15-24n2.html
   My bibliography  Save this article

Development of a Decision-Making Algorithm for Determination of the Optimal Land Use Function

Author

Listed:
  • Biłozor Andrzej

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

Abstract

Although the arrangement of urban space use functions is the outcome of the activity of many different entities, it is not a random activity, as there are general principles guiding the creation process of such a structure. The correct selection and arrangement of areas in a city for different types of use is of significant importance for the fulfillment of economic, functional and planning needs of the city. The concept of land division therefore has a decisive effect on the spatial structure of every city. The growing shortage of free urban space causes, or even forces, its optimal use. The optimization of land use functions in a city aims to verify mismatched land functions and replace them with functions best matched to the present natural and anthropogenic features. Adaptation of problem areas generating “spatial conflicts” should be based on the opinion of the city’s residents to reflect their current needs as well as on economic calculations. This paper presents a procedure for determining optimal states of land use as a tool in the urban space management process. The developed algorithm is designed to form the basis for conducting spatial monitoring, serving to analyze and verify individual land management forms in order to minimize the costs of transformation and maximize income.

Suggested Citation

  • Biłozor Andrzej, 2013. "Development of a Decision-Making Algorithm for Determination of the Optimal Land Use Function," Real Estate Management and Valuation, Sciendo, vol. 21(3), pages 15-24, September.
  • Handle: RePEc:vrs:remava:v:21:y:2013:i:3:p:15-24:n:2
    DOI: 10.2478/remav-2013-0022
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/remav-2013-0022
    Download Restriction: no

    File URL: https://libkey.io/10.2478/remav-2013-0022?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
    ---><---

    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:21:y:2013:i:3:p:15-24:n:2. 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.