IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v42y2015i5p830-856.html
   My bibliography  Save this article

Computer vision of mobility: towards a space-use analysis method

Author

Listed:
  • Ana Tomé
  • Teresa Heitor
  • Mário Nunes

Abstract

This study examines the role of computer vision to collect space-use data, with the goal of building a computational tool that supports space-use analysis better than those in current use. In the past, research on space use was predicated on selective samples and labour-intense fieldwork, mainly through direct observations that were often inaccurate through necessity. Computer vision technology allows space use to be monitored, represented, and quantified in ways not considered before, minimising errors and bias that can affect reliability and validity. The careful use of the technological potential of computer vision opens up new ways of identifying phenomena, becoming aware of systematic patterns and regularities and inquiring further into the degree of congruence between the physical organisation of layouts and patterns of space use.

Suggested Citation

  • Ana Tomé & Teresa Heitor & Mário Nunes, 2015. "Computer vision of mobility: towards a space-use analysis method," Environment and Planning B, , vol. 42(5), pages 830-856, September.
    • Handle: RePEc:sae:envirb:v:42:y:2015:i:5:p:830-856
    DOI: 10.1177/0265813515599512
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0265813515599512
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0265813515599512?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:sae:envirb:v:42:y:2015:i:5:p:830-856. 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: SAGE Publications (email available below). General contact details of provider: .

    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.