Morgane Bousquet, Martijn Kuller, Sandrine Lacroix et Peter A. Vanrolleghem
Article de revue (2023)
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Abstract
Green spaces and nature-based solutions (NBS) are increasingly considered by land-use planning policies to respond to the multiple challenges related to sustainable development. The multiple benefits brought by NBS make the use of multicriteria decision analysis (MCDA) essential to optimally balance their use. MCDA offers a catalog of methods allowing to structure problems with multiple objectives and to help adopt the optimal solution. However, NBS planning is a recent discipline and research is still ongoing to make this practice more common. We carried out a critical literature review on MCDA-NBS tools and practices, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) method on the Web of Science database. We selected 124 papers on the subject between 2000 and 2022. We present a state-of-the-art MCDA approach for NBS and green space planning by looking at where these practices are applied, why and how this process is conducted, and who is involved in it. We found that studies are usually conducted in the global North on a single case study with the help of experts involved in the criteria weighting phase and the help of GIS MCDA tools often integrating a direct ranking method or the AHP method.
Mots clés
green spaces; MCDA; NBS; planning support
Département: | Département des génies civil, géologique et des mines |
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URL de PolyPublie: | https://publications.polymtl.ca/56757/ |
Titre de la revue: | Blue-green systems (vol. 5, no 2) |
Maison d'édition: | UWA Publishing |
DOI: | 10.2166/bgs.2023.132 |
URL officielle: | https://doi.org/10.2166/bgs.2023.132 |
Date du dépôt: | 15 déc. 2023 13:42 |
Dernière modification: | 27 sept. 2024 15:04 |
Citer en APA 7: | Bousquet, M., Kuller, M., Lacroix, S., & Vanrolleghem, P. A. (2023). A critical review of MCDA practices in planning of urban green spaces and NBS. Blue-green systems, 5(2), 200-219. https://doi.org/10.2166/bgs.2023.132 |
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