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Volume 40, Issue 1 (2025)                   GeoRes 2025, 40(1): 63-72 | Back to browse issues page
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‎ 10.58209/geores.40.1.63
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Received: 2025/03/16 | Accepted: 2025/04/23 | Published: 2025/04/27
How to cite this article
Akbari M. Application of the Seca Method in Estimating the Spatial Distribution of Sports Facilities in Mashhad Metropolis. GeoRes 2025; 40 (1) :63-72
URL: http://georesearch.ir/article-1-1697-en.html
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Application of the Seca Method in Estimating the Spatial Distribution of Sports Facilities in Mashhad Metropolis
Authors M. Akbari *
Department of Geography and Urban Planning, Faculty of Literature and Humanities, Yasouj University, Yasouj, Iran
* Corresponding Author Address: Department of Geography and Urban Planning, Faculty of Literature and Humanities, University of Yasouj, Daneshjoo Street, Yasouj, Iran. Postal Code: 7591775955 (mahmoodakbari91@yahoo.com)
Abstract   (452 Views)

Aims: Designing enough sports facilities for citizens can create the conditions for a healthy lifestyle. The present research was conducted with the aim of estimating the sports spaces and facilities in the religious metropolis of Mashhad by using SECA and Mirca techniques.
Methodology: In this an applied research, the condition of sports facilities in 13 districts of Mashhad metropolis were investigated using Seca and Mirca techniques. The studied indicators were the number of outdoor sports spaces, the number of men's outdoor sports spaces, the number of indoor sports spaces, the number of mosques equipped with sports spaces, the number of places equipped with park fitness stations, the number of women's outdoor sports spaces, the area of special stations for the disabled and the number of devices It has been bodybuilding. The data needed to conduct the research was extracted from the statistics of Mashhad metropolis in 2020, and these data were weighted using the SECA technique and used in the Mirca technique.
Findings: Using Seca technique, the 2nd Region of Mashhad metropolis had the highest score of sports facilities according to beta 3, 4 and 5. After this region, we can mention the high score of region 9. These two regions had the most privileges regarding sports facilities in the metropolis of Mashhad. In this respect, Samen Region obtained the lowest score. Using the Mirca technique with the weight of the Seca model, the 2nd region of Mashhad metropolis obtained the highest score (0.0228). The Samen region with a score of 0.0728 and the 1st region with a score of 0.0660 obtained the lowest scores.
Conclusion: The final results of the research indicate the existence of inequality in the distribution of sports facilities. The comparative comparison of Seca and Mirca techniques shows the unequal distribution of sports facilities in all 13 regions of Mashhad metropolis.

Keywords:
Sports Facilities, Seca Technique, Mirca Technique, Mashhad Metropolis
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