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

dc.contributor.authorBrom, Peta
dc.contributor.authorEngemann, Kristine
dc.contributor.authorBreed, Christina A.
dc.contributor.authorPasgaard, Maya
dc.contributor.authorOnaolapo, Titilope
dc.contributor.authorSvenning, Jens-Christian
dc.date.accessioned2024-04-17T13:00:13Z
dc.date.available2024-04-17T13:00:13Z
dc.date.issued2023-02-04
dc.descriptionDATA AVAILAVBILITY STATEMENT : Data can be requested from Peta Brom brompeta@gmail.com.en_US
dc.description.abstractMultifunctional 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.departmentArchitectureen_US
dc.description.librarianam2024en_US
dc.description.sdgSDG-11:Sustainable cities and communitiesen_US
dc.description.sponsorshipDanish Ministry of Foreign Affairs.en_US
dc.description.urihttp://bmjopen.bmj.comen_US
dc.identifier.citationBrom, 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/land12020415en_US
dc.identifier.issn2044-6055 (online)
dc.identifier.other10.3390/ land12020415
dc.identifier.urihttp://hdl.handle.net/2263/95617
dc.language.isoenen_US
dc.publisherMDPIen_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.subjectGreen infrastructureen_US
dc.subjectDecision support toolen_US
dc.subjectMultifunctional benefitsen_US
dc.subjectRemote sensingen_US
dc.subjectSustainabilityen_US
dc.subjectUrban planningen_US
dc.subjectGlobal Southen_US
dc.subjectUrban greenspaceen_US
dc.subjectParksen_US
dc.subjectSouth Africa (SA)en_US
dc.subjectSDG-11: Sustainable cities and communitiesen_US
dc.titleA decision support tool for green infrastructure planning in the face of rapid urbanizationen_US
dc.typeArticleen_US

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