A decision support tool for green infrastructure planning in the face of rapid urbanization

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dc.contributor.author Brom, Peta
dc.contributor.author Engemann, Kristine
dc.contributor.author Breed, Christina A.
dc.contributor.author Pasgaard, Maya
dc.contributor.author Onaolapo, Titilope
dc.contributor.author Svenning, Jens-Christian
dc.date.accessioned 2024-04-17T13:00:13Z
dc.date.available 2024-04-17T13:00:13Z
dc.date.issued 2023-02-04
dc.description DATA AVAILAVBILITY STATEMENT : Data can be requested from Peta Brom brompeta@gmail.com. en_US
dc.description.abstract Multifunctional green infrastructure, a key component of compact sustainable cities, is challenged by the pressures associated with rapid urbanization. In this paper, we present a method that uses remote sensing, GIS modeling and stakeholder engagement to produce a decision support tool that communicates the availability and need for green infrastructure benefits. The case study presented is the City of Tshwane, South Africa, a Global South city facing rapid urbanization. We found that this method of mapping green infrastructure benefits can provide simultaneous oversight on multiple objectives for green infrastructure, including climate change adaptation, biodiversity, and equitable distribution of urban green space. We found that low-scoring benefit areas occur in dense urban areas where small-scale nature-based solutions or rehabilitation activities are required. Moderate benefit scores occurred in parts of the city that are vulnerable to urban expansion and densification activities, warranting the careful planning of green infrastructure provision, and that moderate-to-high-scoring areas can be protected as conservation areas. The results are discussed in terms of the role of decision support tools for urban planning practice. Composite indexes can provide important guidance to decision-makers involved in spatial planning and urban upgrading and expansion activities. en_US
dc.description.department Architecture en_US
dc.description.librarian am2024 en_US
dc.description.sdg SDG-11:Sustainable cities and communities en_US
dc.description.sponsorship Danish Ministry of Foreign Affairs. en_US
dc.description.uri http://bmjopen.bmj.com en_US
dc.identifier.citation Brom, P.; Engemann, K.; Breed, C.; Pasgaard, M.; Onaolapo, T.; Svenning, J.-C. A Decision Support Tool for Green Infrastructure Planning in the Face of Rapid Urbanization. Land 2023, 12, 415. https://DOI.org/10.3390/land12020415 en_US
dc.identifier.issn 2044-6055 (online)
dc.identifier.other 10.3390/ land12020415
dc.identifier.uri http://hdl.handle.net/2263/95617
dc.language.iso en en_US
dc.publisher MDPI en_US
dc.rights © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. en_US
dc.subject Green infrastructure en_US
dc.subject Decision support tool en_US
dc.subject Multifunctional benefits en_US
dc.subject Remote sensing en_US
dc.subject Sustainability en_US
dc.subject Urban planning en_US
dc.subject Global South en_US
dc.subject Urban greenspace en_US
dc.subject Parks en_US
dc.subject South Africa (SA) en_US
dc.subject SDG-11: Sustainable cities and communities en_US
dc.title A decision support tool for green infrastructure planning in the face of rapid urbanization en_US
dc.type Article en_US


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