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

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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
    These authors contributed equally to this work.)

  • 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
    These authors contributed equally to this work.)

  • 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
    ValgrAI, Universitat Politècnica de València, Camino de Vera s/n, Edificio 3Q, 46022 Valencia, Spain
    These authors contributed equally to this work.)

  • Wanzhen Ana Pan

    (Independent Researcher, 46021 Valencia, Spain
    These authors contributed equally to this work.)

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.

Suggested Citation

  • Yulia Karpova & Fulgencia Villa & Eva Vallada & Wanzhen Ana Pan, 2025. "A Multi-Objective Model in Combination with Geographic Information System Tools for the Location of Urban Green Areas," Mathematics, MDPI, vol. 13(12), pages 1-18, June.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:12:p:2006-:d:1681680
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    References listed on IDEAS

    as
    1. Gert-Jan Vanaken & Marina Danckaerts, 2018. "Impact of Green Space Exposure on Children’s and Adolescents’ Mental Health: A Systematic Review," IJERPH, MDPI, vol. 15(12), pages 1-17, November.
    2. Yi-Ya Hsu & Scott Hawken & Samad Sepasgozar & Zih-Hong Lin, 2022. "Beyond the Backyard: GIS Analysis of Public Green Space Accessibility in Australian Metropolitan Areas," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    Full references (including those not matched with items on IDEAS)

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