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Quantifying the Spatial Integration Patterns of Urban Agglomerations along an Inter-City Gradient

Author

Listed:
  • Yiliang Wan

    (College of Resources and Environment Sciences, Hunan Normal University, Changsha 410081, China
    Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China
    These authors contributed equally to this work.)

  • Chuxiong Deng

    (College of Resources and Environment Sciences, Hunan Normal University, Changsha 410081, China
    Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China
    These authors contributed equally to this work.)

  • Tao Wu

    (College of Resources and Environment Sciences, Hunan Normal University, Changsha 410081, China
    Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, China
    These authors contributed equally to this work.)

  • Rui Jin

    (Department of Urban and Rural Planning, Hunan University, Changsha 410082, China
    These authors contributed equally to this work.)

  • Pengfei Chen

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    Department of Land Surveying and Geo-Informatics, The Hongkong Polytechnic University, Hongkong, China)

  • Rong Kou

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

Abstract

Understanding the integration process of urban agglomeration is essential for sustainable regional development and urban planning. However, few studies have analyzed the spatial integration patterns of metropolitan regions according to the impacts of landscape ecology along rail transit corridors. This study performed a comprehensive inter-city gradient analysis using landscape metrics and radar charts in order to determine the integration characteristics of an urban agglomeration. Specifically, we analyzed the evolution of spatial heterogeneity and functional landscapes along gradient transects in the Changsha–Zhuzhou–Xiangtan (CZT) metropolitan region during the period of 1995–2015. Four landscape functional zones (urban center, urban area, urban–rural fringe, and green core) were identified based on a cluster analysis of landscape composition, connectivity, and fragmentation. The landscape metric NP/LPI (number of patches/largest patch index) was proposed to identify the urban–rural fringe, which revealed that the CZT region exhibited a more aggregated form, characterized by a single-core, continuous development, and the compression of green space. The integration of cities has resulted in continued compression and fragmentation of ecological space. Therefore, strategies for controlling urban expansion should be adopted for sustainable urban development. The proposed method can be used to quantify the integration characteristics of urban agglomerations, providing scientific support for urban landscape planning.

Suggested Citation

  • Yiliang Wan & Chuxiong Deng & Tao Wu & Rui Jin & Pengfei Chen & Rong Kou, 2019. "Quantifying the Spatial Integration Patterns of Urban Agglomerations along an Inter-City Gradient," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:5000-:d:266790
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    References listed on IDEAS

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    3. Getu, Kenu & Bhat, H Gangadhara, 2021. "Analysis of spatio-temporal dynamics of urban sprawl and growth pattern using geospatial technologies and landscape metrics in Bahir Dar, Northwest Ethiopia," Land Use Policy, Elsevier, vol. 109(C).

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