Fuzzy Decision-Making Valuation Model for Urban Green Infrastructure Implementation

Urban green infrastructure plays a significant role in sustainable development and requires proper land management during planning. This study develops a valuation model for urban green infrastructure in land management, focusing on Zagreb’s 17 city districts. The fuzzy AHP method was used to calculate the weighting coefficients for a suitable set of criteria, and the TOPSIS method was used to select the priority city districts for implementing green infrastructure. The research results are relevant to decision makers, who can utilize them to prioritize areas for the development and implementation of green infrastructure. The green infrastructure index calculated in this study can be compared with other spatial and land data for effective spatial planning.

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Institutions

Publication Details

Journal
Energies
Published
2024-10-17
DOI
https://doi.org/10.3390/en17205162
Citations
4
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
1.26

Funders

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article

Fuzzy Decision-Making Valuation Model for Urban Green Infrastructure Implementation

Hrvoje Tomić, Goran Andlar, Katarina Rogulj, Samanta Bačić
4 citations
Energies
Urban Green Space and Health
1.26
article

Fuzzy Decision-Making Valuation Model for Urban Green Infrastructure Implementation

Hrvoje Tomić, Goran Andlar, Katarina Rogulj, Samanta Bačić
article en
4 citations

Abstract

Urban green infrastructure plays a significant role in sustainable development and requires proper land management during planning. This study develops a valuation model for urban green infrastructure in land management, focusing on Zagreb’s 17 city districts. The fuzzy AHP method was used to calculate the weighting coefficients for a suitable set of criteria, and the TOPSIS method was used to select the priority city districts for implementing green infrastructure. The research results are relevant to decision makers, who can utilize them to prioritize areas for the development and implementation of green infrastructure. The green infrastructure index calculated in this study can be compared with other spatial and land data for effective spatial planning.

EnergiesVol. 17(20)
University of Zagreb (HR), University of Split (HR)
European Commission, European Regional Development Fund
Openalex Percentile: Top 21%
Urban Green Space and Health
1.26
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