Spatial Prioritizing Brownfields Catering for Green Infrastructure by Integrating Urban Demands and Site Attributes in a Metropolitan Area
Shanshan Feng,
Jiake Shen,
Shuo Sheng,
Zengqing Hu and
Yuncai Wang ()
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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
Land, 2023, vol. 12, issue 4, 1-29
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.
Keywords: brownfield; priority; green infrastructure; urban demands; site attributes; coupling coordination; matching relationship; suitability; multi-functionality (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:4:p:802-:d:1113824
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