IDEAS home Printed from https://ideas.repec.org/a/spr/envman/v36y2005i2d10.1007_s00267-004-1047-0.html

Land Resource Sustainability for Urban Development: Spatial Decision Support System Prototype

Author

Listed:
  • Reza Banai

    (Graduate Program in City and Regional PlanningSchool of Urban Affairs and Public PolicyUniversity of Memphis)

Abstract

Land resource sustainability for urban development characterizes the problem of decision-making with multiplicity and uncertainty. A decision support system prototype aids in the assessment of incremental land development plan proposals put forth within the long-term community priority of a sustainable growth. Facilitating this assessment is the analytic hierarchy process (AHP), a multicriteria evaluation and decision support system. The decision support system incorporates multiple sustainability criteria, weighted strategically responsive to local public policy priorities and community–specific situations and values, while gauging and directing desirable future courses of development. Furthermore, the decision support system uses a GIS, which facilitates an assessment of urban form with multiple indicators of sustainability as spatial criteria thematically. The resultant land-use sustainability scores indicate, on the ratio-scale of AHP, whether or not a desirable urban form is likely in the long run, and if so, to what degree. The two alternative modes of synthesis in AHP—ideal and distributive—provide assessments of a land development plan incrementally (short-term) and city-wide pattern comprehensively (long-term), respectively. Thus, the spatial decision support system facilitates proactive and collective public policy determination of land resource for future sustainable urban development.

Suggested Citation

  • Reza Banai, 2005. "Land Resource Sustainability for Urban Development: Spatial Decision Support System Prototype," Environmental Management, Springer, vol. 36(2), pages 282-296, August.
  • Handle: RePEc:spr:envman:v:36:y:2005:i:2:d:10.1007_s00267-004-1047-0
    DOI: 10.1007/s00267-004-1047-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00267-004-1047-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s00267-004-1047-0?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

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:envman:v:36:y:2005:i:2:d:10.1007_s00267-004-1047-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.