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Quantifying urban growth patterns in Hanoi using landscape expansion modes and time series spatial metrics

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  • Duong H Nong
  • Christopher A Lepczyk
  • Tomoaki Miura
  • Jefferson M Fox

Abstract

Urbanization has been driven by various social, economic, and political factors around the world for centuries. Because urbanization continues unabated in many places, it is crucial to understand patterns of urbanization and their potential ecological and environmental impacts. Given this need, the objectives of our study were to quantify urban growth rates, growth modes, and resultant changes in the landscape pattern of urbanization in Hanoi, Vietnam from 1993 to 2010 and to evaluate the extent to which the process of urban growth in Hanoi conformed to the diffusion-coalescence theory. We analyzed the spatiotemporal patterns and dynamics of the built-up land in Hanoi using landscape expansion modes, spatial metrics, and a gradient approach. Urbanization was most pronounced in the periods of 2001–2006 and 2006–2010 at a distance of 10 to 35 km around the urban center. Over the 17 year period urban expansion in Hanoi was dominated by infilling and edge expansion growth modes. Our findings support the diffusion-coalescence theory of urbanization. The shift of the urban growth areas over time and the dynamic nature of the spatial metrics revealed important information about our understanding of the urban growth process and cycle. Furthermore, our findings can be used to evaluate urban planning policies and aid in urbanization issues in rapidly urbanizing countries.

Suggested Citation

  • Duong H Nong & Christopher A Lepczyk & Tomoaki Miura & Jefferson M Fox, 2018. "Quantifying urban growth patterns in Hanoi using landscape expansion modes and time series spatial metrics," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-18, May.
    • Handle: RePEc:plo:pone00:0196940
    DOI: 10.1371/journal.pone.0196940
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    References listed on IDEAS

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    1. World Bank, 2011. "Vietnam Urbanization Review : Technical Assistance Report," World Bank Publications - Reports 2826, The World Bank Group.
    2. Duong H. Nong & Jefferson Fox & Tomoaki Miura & Sumeet Saksena, 2015. "Built-up Area Change Analysis in Hanoi Using Support Vector Machine Classification of Landsat Multi-Temporal Image Stacks and Population Data," Land, MDPI, vol. 4(4), pages 1-19, December.
    3. Tran Quang Tuyen & Steven Lim & Michael P. Cameron & Vu Van Huong, 2014. "Farmland loss and livelihood outcomes: a microeconometric analysis of household surveys in Vietnam," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 19(3), pages 423-444, July.
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