EconPapers    
Economics at your fingertips  
 

A Decision Support Tool for Green Infrastructure Planning in the Face of Rapid Urbanization

Peta Brom (), Kristine Engemann, Christina Breed, Maya Pasgaard, Titilope Onaolapo and Jens-Christian Svenning
Additional contact information
Peta Brom: Department of Architecture, University of Pretoria, Pretoria 0002, South Africa
Kristine Engemann: Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark
Christina Breed: Department of Architecture, University of Pretoria, Pretoria 0002, South Africa
Maya Pasgaard: Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark
Titilope Onaolapo: Department of Architecture, University of Pretoria, Pretoria 0002, South Africa
Jens-Christian Svenning: Center for Ecological Dynamics in a Novel Biosphere (ECONOVO) & Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark

Land, 2023, vol. 12, issue 2, 1-19

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.

Keywords: green infrastructure; decision support tool; multifunctional benefits; remote sensing; sustainability; urban planning; Global South; South Africa; urban greenspace; parks (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/2073-445X/12/2/415/pdf (application/pdf)
https://www.mdpi.com/2073-445X/12/2/415/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:2:p:415-:d:1057718

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jlands:v:12:y:2023:i:2:p:415-:d:1057718