IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v54y2016icp253-263.html

A data based model as a metropolitan management tool: The Bogotá-Sabana region case study in Colombia

Author

Listed:
  • Del Busto Pinzón, Daniel Felipe
  • de Souza, Fabio Teodoro

Abstract

Data mining techniques are useful tools for knowledge extraction in large databases. They are successfully applied in disciplines such as urban management and geography. The use of these techniques is suitable for the study of complex urban dynamics of post-industrial cities. The objective of this research is to empirically apply data mining techniques as a tool for metropolitan management. This paper presents a methodology developed to elucidate the dynamics of urban growth and its relationship with socioeconomic patterns in the Bogotá-Sabana region of Colombia. To analyze the evolution of growth in two time frames, various techniques are applied, including correlation, clustering, regionalization, and others. The results enable interesting patterns to be identified in urban development. A key aspect of these patterns is the high level of segregation and inequity that is apparent in the case study. Finally, the application opportunities of these tools in urban management are discussed.

Suggested Citation

  • Del Busto Pinzón, Daniel Felipe & de Souza, Fabio Teodoro, 2016. "A data based model as a metropolitan management tool: The Bogotá-Sabana region case study in Colombia," Land Use Policy, Elsevier, vol. 54(C), pages 253-263.
    • Handle: RePEc:eee:lauspo:v:54:y:2016:i:c:p:253-263
    DOI: 10.1016/j.landusepol.2016.02.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837715300259
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2016.02.019?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:eee:lauspo:v:54:y:2016:i:c:p:253-263. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.