Identifying and Ranking the Effective Indicators in the Optimal Location of Sports Spaces and Places in Urban Settlements Using the Fuzzy Analytical Hierarchy Process (FAHP)

Subject Areas :

Maryam Nazeriyeh ¹ , Nasser Bay ^{2 *} , محمد سیاوشی ³ , Ali Fahiminejad ⁴

1 - 1- PhD. Student of Sport Managment,, Department of Physical Education, Shahrood Branch, Islamic Azad University, Shahrood, Iran
2 - 2. Assistant Professor of Sports Management, Azadshahr Branch, Islamic Azad University, Azadshahr, Iran.
3 - هیئت علمی دانشگاه پیام نور تهران
4 - Physical Education Department, Human Sciences Faculty, Shahrood Branch, Islamic Azad University, Shahrood, Iran

Received: 2024-10-18 Accepted : 2025-01-05 Published : 2025-05-30

Keywords: Location, Sports Use, Delphi, FAHP, Urban Settlement,

Abstract :

The aim of this study is to identify and prioritize the indicators that affect the location of urban sports uses. The research method is a descriptive-survey type that used in-depth study and semi-structured interviews with 28 experts in the fields of sports management, environment, urban development and passive defense to compile an initial list of indicators. Then, the final list was compiled through the Delphi technique and provided to the experts in the form of a spectral questionnaire. The Kappa agreement coefficient in the present study was equal to 0.78. The fuzzy hierarchical method (FAHP) was used to prioritize the indicators. The results showed that four levels (neighborhood, neighborhood, regional and urban) can be considered for the establishment of sports uses in cities. Also, two general criteria and sixteen more detailed indicators were identified for the optimal location of sports spaces and places in urban settlements. The "restrictive" criterion with a weight of 0.654673 had a higher degree of importance than the "driving" criterion, which had a weight of 0.382304. Also, among the indices, the most important was the "incompatible uses" index with a weight of 0.36223, followed by the "urban land price" index with a weight of 0.32231. The least important index was "slope direction" with a weight of 0.04082. Finally, the findings indicate that the application of this method and conducting principled and scientific location can contribute significantly to reducing economic and social costs in cities.

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