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Measurement of 30-Year Urban Expansion Using Spatial Entropy in Changwon and Gimhae, Korea

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  • Ki Hwan Cho

    (Faculty of Department of Life Sciences, College of Natural Science, Yeungnam University, Gyeongsan 38541, Korea)

  • Do-Hun Lee

    (National Institute of Ecology, Seocheon-gun 33657, Korea)

  • Tae-Su Kim

    (Faculty of Department of Life Sciences, College of Natural Science, Yeungnam University, Gyeongsan 38541, Korea)

  • Gab-Sue Jang

    (Faculty of Department of Life Sciences, College of Natural Science, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

Entropy is widely used for measuring the degree of urban sprawl. However, despite the intense use of the entropy concept in urban sprawl, entropy’s spatial context has been largely ignored. In this study, we analyzed urban sprawl in Changwon and Gimhae cities, as they shared a common boundary but differed in their population growth and urban expansion. The land cover type, “urban and dry area,” was used to identify urban areas in the two cities, and a land cover map showed the areas of expansion in the 1980s, 1990s, 2000s, and 2010s. Different zoning schemes, namely concentric rings and regular partitioning, were applied. Shannon’s and Batty’s spatial entropy indices were used to measure urban sprawl. The results showed that concentric ring zoning was not suitable for measuring urban sprawl in a decentralized and polycentric city. Batty’s spatial entropy was less affected by the zoning scheme used and reflected the pattern of urban expansion more accurately. Urban sprawl, a phenomenon occurring within a spatial context, can be better understood by measuring spatial entropy with appropriate zoning schemes.

Suggested Citation

  • Ki Hwan Cho & Do-Hun Lee & Tae-Su Kim & Gab-Sue Jang, 2021. "Measurement of 30-Year Urban Expansion Using Spatial Entropy in Changwon and Gimhae, Korea," Sustainability, MDPI, vol. 13(2), pages 1-12, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:632-:d:478306
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    References listed on IDEAS

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    1. 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.
    2. Steurer, Miriam & Bayr, Caroline, 2020. "Measuring urban sprawl using land use data," Land Use Policy, Elsevier, vol. 97(C).
    3. Miriam Steurer & Caroline Bayr, 2020. "Measuring Urban Sprawl using Land Use Data," Graz Economics Papers 2020-02, University of Graz, Department of Economics.
    4. Czamanski, Daniel & Benenson, Itzhak & Malkinson, Dan & Marinov, Maria & Roth, Rafael & Wittenberg, Lea, 2008. "Urban Sprawl and Ecosystems — Can Nature Survive?," International Review of Environmental and Resource Economics, now publishers, vol. 2(4), pages 321-366, December.
    5. Michael Batty & Robin Morphet & Paolo Masucci & Kiril Stanilov, 2014. "Entropy, complexity, and spatial information," Journal of Geographical Systems, Springer, vol. 16(4), pages 363-385, October.
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    Cited by:

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