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On Physical Urban Boundaries, Urban Sprawl, and Compactness Measurement: A Case Study of the Wen-Tai Region, China

Author

Listed:
  • Xiaoling Dai

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310024, China)

  • Jiafeng Jin

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310024, China)

  • Qianhu Chen

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310024, China)

  • Xin Fang

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310024, China)

Abstract

China’s rapid urbanization has been accompanied by serious urban sprawl. Instead of measuring the physical urban boundaries (PUBs), most of existing studies in China rely on yearbook statistics to describe the growth of urbanized area; therefore, the understanding of the actual form and quantity of urban sprawl are restrained. As the statistical unit is generally at or above the county level, these studies tend to omit the lower-level “larger towns”. This paper discusses the measurement of urban sprawl and compactness using multi-source data on the GIS platform through the case study of the Wen-Tai region in China. GlobeLand30 remote sensing image data, vector road network data, NPP/VIIRS nighttime light data, and points of interest (POIs) data are adopted. The new method enhances the identification of built-up areas in larger towns. Besides, the 2020s’ PUBs of this region, data for 2010 and 2000 are retraced to assess the urban expansion rate, and two approaches are used to discuss the urban growth pattern. Additionally, a compactness model is constructed from four dimensions, i.e., the compactness of external contour, accessibility of road network, land-use intensity, and functional diversity, by which a high-resolution visual analysis tool is created for the provincial government to monitor urban sprawl.

Suggested Citation

  • Xiaoling Dai & Jiafeng Jin & Qianhu Chen & Xin Fang, 2022. "On Physical Urban Boundaries, Urban Sprawl, and Compactness Measurement: A Case Study of the Wen-Tai Region, China," Land, MDPI, vol. 11(10), pages 1-24, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1637-:d:923193
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    References listed on IDEAS

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    1. Wentao Niu & Ting Nie & Xiao Chen & Tianxi Wang & Jingyi Shi & Zhenzhen Xu & Hexiong Zhang, 2022. "Understanding the Corrective Effect of the Urban Growth Boundary Policy on Land Finance Dependence of Local Governments in China," IJERPH, MDPI, vol. 19(8), pages 1-31, April.
    2. Yu, Binbin, 2021. "Ecological effects of new-type urbanization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Steurer, Miriam & Bayr, Caroline, 2020. "Measuring urban sprawl using land use data," Land Use Policy, Elsevier, vol. 97(C).
    4. Miriam Steurer & Caroline Bayr, 2020. "Measuring Urban Sprawl using Land Use Data," Graz Economics Papers 2020-02, University of Graz, Department of Economics.
    5. Yangyang Wang & Yanjun Liu & Guolei Zhou & Zuopeng Ma & Hongri Sun & Hui Fu, 2022. "Coordinated Relationship between Compactness and Land-Use Efficiency in Shrinking Cities: A Case Study of Northeast China," Land, MDPI, vol. 11(3), pages 1-19, March.
    6. Akkelies van Nes, 2021. "Spatial Configurations and Walkability Potentials. Measuring Urban Compactness with Space Syntax," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    7. Xin Zhang & Jinghu Pan, 2021. "Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China," Land, MDPI, vol. 10(11), pages 1-16, November.
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    Cited by:

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