Designing a model for optimal locating of sports facilities based on the urban planning criteria

AHMADI, ALIREZA; HONARI, HABIB; SHAHLAEE, JAVAD; KARGAR, GHOLAMALI; GHAFOURI, FARZAD

doi:10.22059/sshr.2023.333596.1011

Designing a model for optimal locating of sports facilities based on the urban planning criteria

Document Type : Research Paper

Authors

Department of Sport Management, Faculty of Physical Education and Sport Sciences, Allameh Tabataba’i University, Tehran, Iran.

10.22059/sshr.2023.333596.1011

Abstract

Background: Sports facilities are one of the most commonly used services in the city with a significant role in improving the physical and mental health condition of citizens thus a proper procedure is required to locate and distribute them.
Aim: The purpose of this study is to design a comprehensive model for the optimal location of sports facilities.
Materials and Methods: The research method is descriptive-analytic based on information gathering and is applied research based on objectives. The opinions of 20 experts have been used to design the model using the Delphi method, and weighting the effective criteria in the sports facilities location. The weight of each criterion has been obtained as population density (0.47), access (0.31), development potential (0.14), and adjacency (0.08); furthermore, the Kendall coefficient of concordance (0.74) in the third step of the Delphi method shows the strong agreement between the experts, regarding the proposed model. The proposed model consisted of six steps: 1. Aim; 2. Verification of the functional area of the existing sport facilities and specific restrictions of the area; 3. Introducing and weighting the important criteria in the sports facilities location; 4. Identifying the most suitable locations for constructing the sports facilities; 5. Evaluating the needs of users; 6. Selecting the best spaces and prioritizing them.
Results: The results of the model showed that the most important criteria for locating sport facilities are population density, access, development potential, and adjacency. Additionally, it was indicated that the agreement between the experts increased over time.
Conclusion: According to the proposed model, it is possible to identify the points that are suitable for constructing the new sports facilities.

Keywords

References

[1] Zakus D, Njelesani D, Darnell S. “The use of sport and physical activity to achieve health objectives”. Literature Reviews on Sport for Development and Peace. 2007. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=The+use+of+sport+and+physical+activity+to+achieve+health+objectives&btnG=.

[2] Boone EM, Leadbeater BJ. “Game on: Diminishing risks for depressive symptoms in early adolescence through positive involvement in team sports”. Journal of Research on Adolescence. 2006; 16(1):79-90. https://doi.org/10.1111/j.1532-7795.2006.00122.x.

[3] Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. “Global physical activity levels: surveillance progress, pitfalls, and prospects”. The Lancet. 2012; 380(9838): 247-257. https://doi.org/10.1016/S0140-6736(12)60646-1.

[4] Ghavami SM, Taleai M, Arentze T. “An intelligent spatial land use planning support system using socially rational agents”. International Journal of Geographical Information Science. 2017; 31(5): 1022-1041. https://doi.org/10.1080/13658816.2016.1263306.

[5] Eime RM, Charity MJ, Harvey JT, Payne WR. “Participation in sport and physical activity: Associations with socio-economic status and geographical remoteness”. BMC Public Health. 2015; 15(1): 434. https://doi.org/10.1186/s12889-015-1796-0.

[6] Ahmadi A, Honari H, Shahlaee J, Kargar G. “Optimal locating the sport spaces based on implementing analytic hierarchy process algorithm in geographical information system”. 22th Annual Congress of the European College of Sport Science. 2017; Essen, Germany.

[7] Norozi Seyed Hosseini R, Dehghanizade R, Honari H, Yosefi B, Norozi Seyed Hosseini, A. “The spatial analysis of sport areas using Geographical Information System (GIS) and providing an optimal model (Case study: Region 1 of Tehran)”. Journal of Sport Management. 2014; 5(4): 5-28. https://dx.doi.org/10.22059/jsm.2014.36217.

[8] Wong NH, Jusuf SK. “GIS-based greenery evaluation on campus master plan”. Landscape and Urban Planning. 2008; 84(2): 166-182. https://doi.org/10.1016/j.landurbplan.2007.07.005.

[9] McCormack G, Giles-Corti B, Lange A, Smith T, Martin K, Pikora TJ. “An update of recent evidence of the relationship between objective and self-report measures of the physical environment and physical activity behaviours”. Journal of Science and Medicine in Sport. 2004; 7(1): 81-92. https://doi.org/10.1016/S1440-2440(04)80282-2.

[10] Panter JR, Jones AP. “Associations between physical activity, perceptions of the neighbourhood environment and access to facilities in an English city”. Social Science & Medicine. 2008; 67(11): 1917-1923. https://doi.org/10.1016/j.socscimed.2008.09.001.

[11] Oh K, Jeong S. “Assessing the spatial distribution of urban parks using GIS”. Landscape and Urban Planning. 2007; 82(1-2): 25-32. https://doi.org/10.1016/j.landurbplan.2007.01.014.

[12] Riva M, Gauvin L, Richard L. “Use of local area facilities for involvement in physical activity in Canada: insights for developing environmental and policy interventions”. Health Promotion International. 2007; 22(3): 227-235. https://doi.org/10.1093/heapro/dam015.

[13] Higgs G, Langford M, Norman P. (2015). “Accessibility to sport facilities in Wales: A GIS-based analysis of socio-economic variations in provision”. Geoforum. 2015; 62: 105-120. https://doi.org/10.1016/j.geoforum.2015.04.010.

[14] Zohrevandian K, Asadi H, Ebrahimi F, Samadi M. “Determination and prioritization of criteria of site selection to establish sport facilities for equal access by Analytical Hierarchy Process (AHP)”. Journal of Sport Management. 2016; 7(6): 795-814. https://dx.doi.org/10.22059/jsm.2016.57449.

[15] Eslami Marzankalaye MM, Musazadeh H, Khodadad M. (2019). “Analyzing and locating sport spaces, using Geographical Information System (GIS) and Analyzing Hierarchal Process (AHP) (Case study: the city of Gorgan)”. Journal of Sport Management and Motor Behavior. 2019; 15(30): 327-342. https://dx.doi.org/10.22080/jsmb.2018.10142.2367.

[16] Vich G, Marquet O, Miralles-Guasch C. “Green streetscape and walking: exploring active mobility patterns in dense and compact cities”. Journal of Transport & Health. 2019; 12: 50-59. https://doi.org/10.1016/j.jth.2018.11.003. https://doi.org/10.1016/j.jth.2018.11.003.

[17] Salimi M, Khodaparst M. “Providing the optimal method for sport places site selection based on GIS analytic functions”. Journal of Facilities Management. 2021; 19(3): 339-357. https://doi.org/10.1108/JFM-10-2020-0072. https://doi.org/10.1108/jfm-10-2020-0072.

[18] Saaty TL. “What is the analytic hierarchy process? Mathematical models for decision support”. G. Mitra. 1988; 109-121. https://doi.org/10.1007/978-3-642-83555-1_5.

[19] Saaty TL. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. 2000; Vol. 6, RWS publications. https://doi.org/10.1007/978-94-015-9799-9_2.

[20] Lee S, Walsh P. “SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport”. Sport Management Review. 2011; 14(4): 361-369. https://doi.org/10.1016/j.smr.2010.12.003.

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Designing a model for optimal locating of sports facilities based on the urban planning criteria

References

[2] Boone EM, Leadbeater BJ. “Game on: Diminishing risks for depressive symptoms in early adolescence through positive involvement in team sports”. Journal of Research on Adolescence. 2006; 16(1):79-90. https://doi.org/10.1111/j.1532-7795.2006.00122.x.

[3] Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. “Global physical activity levels: surveillance progress, pitfalls, and prospects”. The Lancet. 2012; 380(9838): 247-257. https://doi.org/10.1016/S0140-6736(12)60646-1.

[4] Ghavami SM, Taleai M, Arentze T. “An intelligent spatial land use planning support system using socially rational agents”. International Journal of Geographical Information Science. 2017; 31(5): 1022-1041. https://doi.org/10.1080/13658816.2016.1263306.

[5] Eime RM, Charity MJ, Harvey JT, Payne WR. “Participation in sport and physical activity: Associations with socio-economic status and geographical remoteness”. BMC Public Health. 2015; 15(1): 434. https://doi.org/10.1186/s12889-015-1796-0.

[6] Ahmadi A, Honari H, Shahlaee J, Kargar G. “Optimal locating the sport spaces based on implementing analytic hierarchy process algorithm in geographical information system”. 22th Annual Congress of the European College of Sport Science. 2017; Essen, Germany.

[8] Wong NH, Jusuf SK. “GIS-based greenery evaluation on campus master plan”. Landscape and Urban Planning. 2008; 84(2): 166-182. https://doi.org/10.1016/j.landurbplan.2007.07.005.

[10] Panter JR, Jones AP. “Associations between physical activity, perceptions of the neighbourhood environment and access to facilities in an English city”. Social Science & Medicine. 2008; 67(11): 1917-1923. https://doi.org/10.1016/j.socscimed.2008.09.001.

[11] Oh K, Jeong S. “Assessing the spatial distribution of urban parks using GIS”. Landscape and Urban Planning. 2007; 82(1-2): 25-32. https://doi.org/10.1016/j.landurbplan.2007.01.014.

[12] Riva M, Gauvin L, Richard L. “Use of local area facilities for involvement in physical activity in Canada: insights for developing environmental and policy interventions”. Health Promotion International. 2007; 22(3): 227-235. https://doi.org/10.1093/heapro/dam015.

[13] Higgs G, Langford M, Norman P. (2015). “Accessibility to sport facilities in Wales: A GIS-based analysis of socio-economic variations in provision”. Geoforum. 2015; 62: 105-120. https://doi.org/10.1016/j.geoforum.2015.04.010.

[14] Zohrevandian K, Asadi H, Ebrahimi F, Samadi M. “Determination and prioritization of criteria of site selection to establish sport facilities for equal access by Analytical Hierarchy Process (AHP)”. Journal of Sport Management. 2016; 7(6): 795-814. https://dx.doi.org/10.22059/jsm.2016.57449.

[16] Vich G, Marquet O, Miralles-Guasch C. “Green streetscape and walking: exploring active mobility patterns in dense and compact cities”. Journal of Transport & Health. 2019; 12: 50-59. https://doi.org/10.1016/j.jth.2018.11.003. https://doi.org/10.1016/j.jth.2018.11.003.

[17] Salimi M, Khodaparst M. “Providing the optimal method for sport places site selection based on GIS analytic functions”. Journal of Facilities Management. 2021; 19(3): 339-357. https://doi.org/10.1108/JFM-10-2020-0072. https://doi.org/10.1108/jfm-10-2020-0072.

[18] Saaty TL. “What is the analytic hierarchy process? Mathematical models for decision support”. G. Mitra. 1988; 109-121. https://doi.org/10.1007/978-3-642-83555-1_5.

[19] Saaty TL. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. 2000; Vol. 6, RWS publications. https://doi.org/10.1007/978-94-015-9799-9_2.

[20] Lee S, Walsh P. “SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport”. Sport Management Review. 2011; 14(4): 361-369. https://doi.org/10.1016/j.smr.2010.12.003.

Volume 14, Issue 2
July 2022
Pages 161-171

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Designing a model for optimal locating of sports facilities based on the urban planning criteria

References

[2] Boone EM, Leadbeater BJ. “Game on: Diminishing risks for depressive symptoms in early adolescence through positive involvement in team sports”. Journal of Research on Adolescence. 2006; 16(1):79-90. https://doi.org/10.1111/j.1532-7795.2006.00122.x.

[3] Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. “Global physical activity levels: surveillance progress, pitfalls, and prospects”. The Lancet. 2012; 380(9838): 247-257. https://doi.org/10.1016/S0140-6736(12)60646-1.

[4] Ghavami SM, Taleai M, Arentze T. “An intelligent spatial land use planning support system using socially rational agents”. International Journal of Geographical Information Science. 2017; 31(5): 1022-1041. https://doi.org/10.1080/13658816.2016.1263306.

[5] Eime RM, Charity MJ, Harvey JT, Payne WR. “Participation in sport and physical activity: Associations with socio-economic status and geographical remoteness”. BMC Public Health. 2015; 15(1): 434. https://doi.org/10.1186/s12889-015-1796-0.

[6] Ahmadi A, Honari H, Shahlaee J, Kargar G. “Optimal locating the sport spaces based on implementing analytic hierarchy process algorithm in geographical information system”. 22th Annual Congress of the European College of Sport Science. 2017; Essen, Germany.

[8] Wong NH, Jusuf SK. “GIS-based greenery evaluation on campus master plan”. Landscape and Urban Planning. 2008; 84(2): 166-182. https://doi.org/10.1016/j.landurbplan.2007.07.005.

[10] Panter JR, Jones AP. “Associations between physical activity, perceptions of the neighbourhood environment and access to facilities in an English city”. Social Science & Medicine. 2008; 67(11): 1917-1923. https://doi.org/10.1016/j.socscimed.2008.09.001.

[11] Oh K, Jeong S. “Assessing the spatial distribution of urban parks using GIS”. Landscape and Urban Planning. 2007; 82(1-2): 25-32. https://doi.org/10.1016/j.landurbplan.2007.01.014.

[12] Riva M, Gauvin L, Richard L. “Use of local area facilities for involvement in physical activity in Canada: insights for developing environmental and policy interventions”. Health Promotion International. 2007; 22(3): 227-235. https://doi.org/10.1093/heapro/dam015.

[13] Higgs G, Langford M, Norman P. (2015). “Accessibility to sport facilities in Wales: A GIS-based analysis of socio-economic variations in provision”. Geoforum. 2015; 62: 105-120. https://doi.org/10.1016/j.geoforum.2015.04.010.

[16] Vich G, Marquet O, Miralles-Guasch C. “Green streetscape and walking: exploring active mobility patterns in dense and compact cities”. Journal of Transport & Health. 2019; 12: 50-59. https://doi.org/10.1016/j.jth.2018.11.003. https://doi.org/10.1016/j.jth.2018.11.003.

[17] Salimi M, Khodaparst M. “Providing the optimal method for sport places site selection based on GIS analytic functions”. Journal of Facilities Management. 2021; 19(3): 339-357. https://doi.org/10.1108/JFM-10-2020-0072. https://doi.org/10.1108/jfm-10-2020-0072.

[18] Saaty TL. “What is the analytic hierarchy process? Mathematical models for decision support”. G. Mitra. 1988; 109-121. https://doi.org/10.1007/978-3-642-83555-1_5.

[19] Saaty TL. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. 2000; Vol. 6, RWS publications. https://doi.org/10.1007/978-94-015-9799-9_2.

[20] Lee S, Walsh P. “SWOT and AHP hybrid model for sport marketing outsourcing using a case of intercollegiate sport”. Sport Management Review. 2011; 14(4): 361-369. https://doi.org/10.1016/j.smr.2010.12.003.

Volume 14, Issue 2July 2022Pages 161-171

Files

Share

How to cite

Statistics

Volume 14, Issue 2
July 2022
Pages 161-171