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 |