IDEAS home Printed from
   My bibliography  Save this article

Modeling Urban Land Use Change and Urban Sprawl: Calgary, Alberta, Canada


  • Heng Sun


  • Wayne Forsythe


  • Nigel Waters



This paper implements a land use classification for the City of Calgary, Alberta, Canada, using an object-oriented approach for six Landsat TM and ETM+ images and simulates the land use pattern in the future using Markov Chain analysis and Cellular Automata analysis based on the interactions between these land uses and the transportation network. Shannon’s Entropy (an urban sprawl index) based on the land use classification results is used to measure urban sprawl. This research proves that an object-oriented approach can produce satisfactory classification results. It reveals the manner in which land use is likely to develop in the future, and demonstrates that urban sprawl continued to grow in Calgary during the years between 1985 and 2001. Such models are useful for providing the building blocks for traditional four-step transportation planning models. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Heng Sun & Wayne Forsythe & Nigel Waters, 2007. "Modeling Urban Land Use Change and Urban Sprawl: Calgary, Alberta, Canada," Networks and Spatial Economics, Springer, vol. 7(4), pages 353-376, December.
  • Handle: RePEc:kap:netspa:v:7:y:2007:i:4:p:353-376
    DOI: 10.1007/s11067-007-9030-y

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Raquel Espino & Juan Ortúzar & Concepción Román, 2006. "Confidence Interval for Willingness to Pay Measures in Mode Choice Models," Networks and Spatial Economics, Springer, vol. 6(2), pages 81-96, June.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. repec:eee:retrec:v:60:y:2016:i:c:p:25-34 is not listed on IDEAS
    2. Xianyuan Zhan & Satish Ukkusuri & Feng Zhu, 2014. "Inferring Urban Land Use Using Large-Scale Social Media Check-in Data," Networks and Spatial Economics, Springer, vol. 14(3), pages 647-667, December.
    3. Patuelli, Roberto & Reggiani, Aura & Nijkamp, Peter & Bade, Franz-Josef, 2010. "The evolution of the commuting network in Germany: Spatial and connectivity patterns," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 5-37.
    4. repec:kap:netspa:v:17:y:2017:i:2:d:10.1007_s11067-016-9329-7 is not listed on IDEAS
    5. Luca Salvati & Alberto Sabbi, 2014. "Identifying urban diffusion in compact cities through a comparative multivariate procedure," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 557-575, September.
    6. repec:kap:netspa:v:17:y:2017:i:4:d:10.1007_s11067-017-9366-x is not listed on IDEAS


    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:kap:netspa:v:7:y:2007:i:4:p:353-376. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.