A Multi-Objective Model in Combination with Geographic Information System Tools for the Location of Urban Green Areas

Yulia Karpova (), Fulgencia Villa, Eva Vallada and Wanzhen Ana Pan
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Yulia Karpova: Grupo de Sistemas de Optimización Aplicada, Instituto Tecnológico de Informática, Ciudad Politécnica de la Innovación, Edificio 8G, Acc. B., Universitat Politècnica de València, Camino de Vera s/n, 46021 Valencia, Spain
Fulgencia Villa: Grupo de Sistemas de Optimización Aplicada, Instituto Tecnológico de Informática, Ciudad Politécnica de la Innovación, Edificio 8G, Acc. B., Universitat Politècnica de València, Camino de Vera s/n, 46021 Valencia, Spain
Eva Vallada: Grupo de Sistemas de Optimización Aplicada, Instituto Tecnológico de Informática, Ciudad Politécnica de la Innovación, Edificio 8G, Acc. B., Universitat Politècnica de València, Camino de Vera s/n, 46021 Valencia, Spain
Wanzhen Ana Pan: Independent Researcher, 46021 Valencia, Spain

Mathematics, 2025, vol. 13, issue 12, 1-18

Abstract: This study addresses the problem of locating urban green spaces. Public health policies encompass a set of activities aimed at protecting individuals’ physical integrity and well-being, where prevention plays a critical role at both individual and collective levels. Having green spaces in urban areas is essential for providing mental relaxation, stimulating social cohesion and supporting physical activity. However, deciding where to place these green spaces is challenging, as various types of information must be considered, and the impact of such decisions needs thorough evaluation and visualization. To tackle this issue, we propose a methodology that combines mathematical programming with Geographic Information Systems (GIS). GIS tools are crucial for capturing and incorporating real-world data, which supports the mathematical model and helps visualize solutions. Our proposed multi-objective model aims to maximize coverage and equity. We demonstrate the application of this methodology with a case study focused on Valencia, Spain, where 20 potential locations were identified, and five were selected.

Keywords: multi-objective optimization; urban green areas; isochrone; GIS; sustainability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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