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Improvement of the Reliability of Urban Park Location Results Through the Use of Fuzzy Logic Theory

Author

Listed:
  • Beata Calka

    (Institute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland)

  • Katarzyna Siok

    (Institute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland)

  • Marta Szostak

    (Department of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, Al. 29 Listopada 46, 31-425 Krakow, Poland)

  • Elzbieta Bielecka

    (Institute of Geospatial Engineering and Geodesy, Faculty of Civil Engineering and Geodesy, Military University of Technology, 00-908 Warsaw, Poland)

  • Tomasz Kogut

    (Department of Geodesy and Offshore Survey, Maritime University of Szczecin, Waly Chrobrego 1-2, 70-500 Szczecin, Poland)

  • Mohamed Zhran

    (Public Works Engineering Department, Faculty of Engineering, Mansoura University, Mansoura 35516, Egypt)

Abstract

Green areas, thanks to their relatively unified natural systems, play several key roles. They contribute to the proper functioning and sustainable development of cities and also determine the quality of life for their inhabitants. As a result, urban planners and policy-makers frequently aim to maximize the benefits of green spaces by creating various programs and strategies focused on green infrastructure development, such as the Green City initiative. One of the objectives of this program is to create new urban parks. This research focuses on developing a new method for selecting sites for urban parks, taking into account factors related to the environment, accessibility, and human activity. The research was carried out for the area of Ciechanów city. To make the city areas more attractive to residents, the authorities aim to increase green spaces and also revitalize the existing greenery. The combination of the Fuzzy AHP method and fuzzy set theory (selecting appropriate fuzzy membership for each factor), along with the use of large and diverse geospatial datasets, minimized subjectivity in prioritizing criteria and allowed for a fully automated analysis process. Among the factors analyzed, land use emerged as the most significant, followed by the normalized difference vegetation index (NDVI) and proximity to surface water. The results indicated that 16% of the area was deemed highly suitable for urban park development, while 15% was considered unsuitable. One-at-a-time (OAT) sensitivity analysis, based on changes in the weight of the land-use factor, revealed that a 75% reduction in weight resulted in a nearly 57.2% decrease in unsuitable areas, while a 75% increase in weight led to a 40% expansion of the most suitable locations. The potential park locations were compared with a heat map of urban activity in the city. The developed method contributes to the discourse on the transparency of location decisions and the validity of the criteria used, to promote sustainable urban development that provides residents with access to active recreation.

Suggested Citation

  • Beata Calka & Katarzyna Siok & Marta Szostak & Elzbieta Bielecka & Tomasz Kogut & Mohamed Zhran, 2025. "Improvement of the Reliability of Urban Park Location Results Through the Use of Fuzzy Logic Theory," Sustainability, MDPI, vol. 17(2), pages 1-28, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:521-:d:1564655
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    References listed on IDEAS

    as
    1. Naim Ahmad & Ayman Qahmash, 2020. "Implementing Fuzzy AHP and FUCOM to evaluate critical success factors for sustained academic quality assurance and ABET accreditation," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-30, September.
    2. Alessio Russo, 2024. "Renaturing for Urban Wellbeing: A Socioecological Perspective on Green Space Quality, Accessibility, and Inclusivity," Sustainability, MDPI, vol. 16(13), pages 1-16, July.
    3. Alessio Russo & Giuseppe T. Cirella, 2018. "Modern Compact Cities: How Much Greenery Do We Need?," IJERPH, MDPI, vol. 15(10), pages 1-15, October.
    4. Shunwei Ji & Renfeng Ma & Liyan Ren & Caijuan Wang, 2020. "How to Find Vacant Green Space in the Process of Urban Park Planning: Case Study in Ningbo (China)," IJERPH, MDPI, vol. 17(21), pages 1-19, November.
    5. Viniece Jennings & Omoshalewa Bamkole, 2019. "The Relationship between Social Cohesion and Urban Green Space: An Avenue for Health Promotion," IJERPH, MDPI, vol. 16(3), pages 1-14, February.
    6. Chenying Li & Tiantian Zhang & Xi Wang & Zefeng Lian, 2022. "Site Selection of Urban Parks Based on Fuzzy-Analytic Hierarchy Process (F-AHP): A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(20), pages 1-27, October.
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