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

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  • Heng Sun
  • Wayne Forsythe
  • Nigel Waters

Abstract

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
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    References listed on IDEAS

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    1. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
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    3. Karen A. Danielsen & Robert E. Lang & William Fulton, 1999. "Retracting suburbia: Smart growth and the future of housing," Housing Policy Debate, Taylor & Francis Journals, vol. 10(3), pages 513-540, January.
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