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Spatial Prioritizing Brownfields Catering for Green Infrastructure by Integrating Urban Demands and Site Attributes in a Metropolitan Area

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  • Shanshan Feng

    (Department of Urban Planning, College of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China)

  • Jiake Shen

    (Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Shuo Sheng

    (Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

  • Zengqing Hu

    (Urban and Rural Planning Research Center of Qujiang District, Quzhou 324022, China)

  • Yuncai Wang

    (Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

Abstract

Global urbanization and post-industrialization have resulted in the emergence of a large number of brownfields. The integration of brownfields into green infrastructure (GI) has been widely recognized as a sustainable development strategy in metropolitan areas. It is important to spatially prioritize brownfields catering for GI, which can enable the greatest enhancement of urban functions. Various studies have assessed brownfield site attributes or urban demands to define the priority of brownfields transformed into GI, but it is key to consider the coupling coordination between urban demands and site attributes in order to achieve more accurate matches. In this paper, an approach is proposed for assessing the priority of brownfields catering for GI in Xuzhou, China; this involved calculating the coupling coordination degree between site attributes and urban function demands, including heat island mediation, stormwater regulation, disaster prevention, landscape aesthetics improvement, and leisure and recreation increments. The results showed that 42.52% of the brownfields have a high degree of coupling coordination (“good coordination” and “primary coordination”) between site attributes and urban demands. Furthermore, 40.82% of the brownfields (120 plots) were selected to be integrated into urban GI; these are not only located in high urban functional demand areas, but also have a high coupling coordination degree. These brownfields were divided into three priority levels, and 4.42% and 17.69% of the total brownfields are of very high and high priority. Our proposed approach offers an accurate decision-making tool for urban GI optimization in high-density built-up metropolitan areas, and offers guidance for brownfield redevelopment.

Suggested Citation

  • Shanshan Feng & Jiake Shen & Shuo Sheng & Zengqing Hu & Yuncai Wang, 2023. "Spatial Prioritizing Brownfields Catering for Green Infrastructure by Integrating Urban Demands and Site Attributes in a Metropolitan Area," Land, MDPI, vol. 12(4), pages 1-29, April.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:802-:d:1113824
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    References listed on IDEAS

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    Cited by:

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    2. Khaled Alshehri & Mohadese Basirati & Devin Sapsford & Michael Harbottle & Peter Cleall, 2024. "Nature-Based Secondary Resource Recovery under Climate Change Uncertainty: A Robust Multi-Objective Optimisation Methodology," Sustainability, MDPI, vol. 16(16), pages 1-27, August.
    3. Zhiping Liu & Yingxue Feng & Jing Li & Haoyu Tao & Zhen Liu & Xiaodan Li & Yue Hu, 2024. "Analysis of the Wangping Brownfield Using a Two-Step Urban Brownfield Redevelopment Model," Land, MDPI, vol. 13(11), pages 1-22, November.

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