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A Multi-Level and Multi-Dimensional Measuring on Urban Sprawl: A Case Study in Wuhan Metropolitan Area, Central China

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Listed:
  • Chen Zeng

    (Department of Land Resource Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Sanwei He

    (Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong 999077, China)

  • Jiaxing Cui

    (Department of Resource and Environment Science, Wuhan University, Wuhan 430079, China)

Abstract

Chinese cities are experiencing rapid urban expansion and being transformed into more dispersed urban form which necessitate the quantification of fine-scale intra-urban characteristics for sustainable urban development. We propose an integrated multi-level and multi-dimensional method to characterize urban sprawl and apply it to Wuhan, a typical metropolitan area in central China from 1996 to 2006. The specifications of levels are parcel at micro-level, district at meso-level and metropolitan area at macro-level. The measurements are implemented in seven dimensions: composition, configuration, gradient, density, proximity, accessibility and dynamics. Metrics are assigned to each dimension and innovative metrics such as derived contagion index, distance-based correlation coefficient and weighted centroid migration are defined to quantify the sprawling process. This bottom-up approach is capable of exploring spatio-temporal variation of urban growth at finer scales, capturing the multi-dimensional features of urban sprawl and providing policy implications for authorities at different levels. The results reveal that industrial sites and built-up land for special use are the most scattered and randomly distributed land use types, parcels and districts at the urban fringe present higher fragmentation than those in the urban core areas and urban expansion is largely enforced by assigning development zones.

Suggested Citation

  • Chen Zeng & Sanwei He & Jiaxing Cui, 2014. "A Multi-Level and Multi-Dimensional Measuring on Urban Sprawl: A Case Study in Wuhan Metropolitan Area, Central China," Sustainability, MDPI, vol. 6(6), pages 1-28, June.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:6:p:3571-3598:d:36776
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    References listed on IDEAS

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    1. Glaeser, Edward L. & Kahn, Matthew E., 2004. "Sprawl and urban growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 56, pages 2481-2527, Elsevier.
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    Cited by:

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    2. Huan Li & Yehua Dennis Wei & Yuemin Ning, 2016. "Spatial and Temporal Evolution of Urban Systems in China during Rapid Urbanization," Sustainability, MDPI, vol. 8(7), pages 1-17, July.
    3. Peizhi Tian & Binyang Jian & Jianrui Li & Xitian Cai & Jiangfeng Wei & Guo Zhang, 2023. "Land-Use-Change-Induced Cooling and Precipitation Reduction in China: Insights from CMIP6 Models," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    4. Jean-Philippe Aurambout & Ricardo Barranco & Carlo Lavalle, 2018. "Towards a Simpler Characterization of Urban Sprawl across Urban Areas in Europe," Land, MDPI, vol. 7(1), pages 1-18, March.
    5. John Gibson & Chao Li & Geua Boe-Gibson, 2014. "Economic Growth and Expansion of China’s Urban Land Area: Evidence from Administrative Data and Night Lights, 1993–2012," Sustainability, MDPI, vol. 6(11), pages 1-16, November.
    6. Eric Gielen & Gabriel Riutort-Mayol & José Sergio Palencia-Jiménez & Isidro Cantarino, 2018. "An urban sprawl index based on multivariate and Bayesian factor analysis with application at the municipality level in Valencia," Environment and Planning B, , vol. 45(5), pages 888-914, September.
    7. Tikoudis, Ioannis & Farrow, Katherine & Mebiame, Rose Mba & Oueslati, Walid, 2022. "Beyond average population density: Measuring sprawl with density-allocation indicators," Land Use Policy, Elsevier, vol. 112(C).
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