Abstract
The simultaneous consideration of various economic, social, and environmental factors in determining the proper location for constructing a sports complex for traditional games is crucial to the continuation of such events. To achieve this goal, we begin by identifying relevant criteria through a comprehensive literature review and interviews with experts, including faculty members, executive professionals from sports departments, and board members of a municipality. Subsequently, we assess the significance of inter-city (optimal city selection) and intra-city (optimal geographic area identification) criteria in two distinct stages. These assessments are based on experts' opinions, collect via an online questionnaire developed in alignment with the Best Worst Method (BWM). In an effort to assess the desirability of the cities under consideration, we apply piecewise linear preference functions (PLPFs) to determine the ranges in which each of the items achieve their best score. Also, the best area for constructing a sports complex is selected using the geographical information system (GIS). The results of this research confirm that social factors are more important than economic and environmental ones in the evaluation phase of the candidates and PLPFs produce different results vis- à-vis the existing linear methods. The framework presented offers decision-makers a comprehensive overview of the considerations involved in selecting suitable locations for sustainable sports complexes. Notably, it specifically delineates the criteria essential for the location selection of sports complexes dedicated to traditional games. Furthermore, the proposed methodology can be regarded as an expert-based solution applicable to a range of challenges in sports complex location selection.
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References
Aleksić A, Milanović DD, Komatina N, Tadić D (2023) Evaluation and ranking of failures in manufacturing process by combining best-worst method and VIKOR under type-2 fuzzy environment. Expert Syst 40(2):e13148. https://doi.org/10.1111/exsy.13148
Altay BC, Celik E, Okumus A, Balin A, Gul M (2023) An integrated interval type-2 fuzzy BWM-MARCOS model for location selection of e-scooter sharing stations: The case of a university campus. Eng Appl Arti Intell 122:106095. https://doi.org/10.1016/j.engappai.2023.106095
Asashosakari (2021) Where can I find stats on the popularity of sumo in Japan? https://www.crs.or.jp/data/
Bruner M, Hillier S, Baillie C, Lavallee L, Bruner B, Hare K, Lovelace R, Lévesque L (2016) Positive youth development in aboriginal physical activity and sport: A systematic review. Adolesc Res Rev 1. https://doi.org/10.1007/s40894-015-0021-9
Carr A, Ruhanen L, Whitford M (2016) Indigenous peoples and tourism: the challenges and opportunities for sustainable tourism. J Sustain Tour 24(8–9):1067–1079. https://doi.org/10.1080/09669582.2016.1206112
Chard C, Mallen C (2012) Examining the linkages between automobile use and carbon impacts of community-based ice hockey. Sport Manag Rev 15(4):476–484
Chen N, Funk DC (2010) Exploring destination image, experience and revisit intention: A comparison of sport and non-sport tourist perceptions. J Sport Tour 15(3):239–259
Chernushenko D, Kamp VA, Stubbs D (2001) Sustainable sport management: running an environmentally, socially and economically. United nations Environment Programme
Coates D (2007) Stadiums and arenas: Economic development or economic redistribution? Contemp Econ Policy 25:565–577. https://doi.org/10.1111/j.1465-7287.2007.00073.x
Collins A, Roberts A (2017) Assessing the environmental impact of economic activity surrounding major sport events. In Routledge handbook of sport and the environment (pp. 207–219). Routledge
Dashtpagerdi MM, Kousari MR, Vagharfard H, Ghonchepour D, Hosseini ME, Ahani H (2015) An investigation of drought magnitude trend during 1975–2005 in arid and semi-arid regions of Iran. Environ Earth Sci 73(3):1231–1244. https://doi.org/10.1007/s12665-014-3477-1
Dehghanpouri H, Haseli G, Darabi M (2022) Locating the public sport stations in Shahrood City by combining multi-criteria decision making methods in GIS technology. J Adv Sport Technol 6(1):51–66. https://doi.org/10.22098/jast.2022.1745
Deveci M, Gokasar I, Pamucar D, Chen Y, Coffman DM (2023) Sustainable E-scooter parking operation in urban areas using fuzzy Dombi based RAFSI model. Sustain Cities Soc 91:104426
Dinan Thompson M, Meldrum K, Sellwood J (2014) ¡°¡-it is not just a game¡±: Connecting with culture through traditional indigenous games. Am J Educ Res 2(11):1015–1022. https://doi.org/10.12691/education-2-11-3
Dolles H, Söderman S (2010) Addressing ecology and sustainability in mega-sporting events: The 2006 football World Cup in Germany. J Manag Organ 16(4):587–600
Dubnewick M, Hopper T, Spence JC, McHugh T-LF (2018) “There’s a cultural pride through our games”: Enhancing the sport experiences of indigenous youth in canada through participation in traditional games. J Sport Soc Issues 42(4):207–226. https://doi.org/10.1177/0193723518758456
Ecer F, Pamucar D (2020) Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model. J Clean Prod 266:121981. https://doi.org/10.1016/j.jclepro.2020.121981
Ehsanifar M, Wood DA, Babaie A (2021) UTASTAR method and its application in multi-criteria warehouse location selection. Oper Manag Res 14(1):202–215. https://doi.org/10.1007/s12063-020-00169-6
Eren E, Katanalp BY (2022) Fuzzy-based GIS approach with new MCDM method for bike-sharing station site selection according to land-use types. Sustain Cities Soc 76:103434. https://doi.org/10.1016/j.scs.2021.103434
Fang L, Li H (2015) Multi-criteria decision analysis for efficient location-allocation problem combining DEA and goal programming. RAIRO-Oper Res 49(4):753–772. https://doi.org/10.1051/ro/2015003
Ghafori F, Babaei Soltangholy H, Shahlaee J (2021) Investigating the impact of Native and local games on the increase in GDP and job creation. Sport Manag Stud 13(65):63–78. https://doi.org/10.22089/smrj.2019.5753.2154
Ghobadian B, Najafi G, Rahimi H, Yusaf TF (2009) Future of renewable energies in Iran. Renew Sustain Energy Rev 13(3):689–695. https://doi.org/10.1016/j.rser.2007.11.010
Ghoushchi S, Khazaeili M, Amini A, Osgooei E (2019) Multi-criteria sustainable supplier selection using piecewise linear value function and fuzzy best-worst method. J Intell Fuzzy Syst 37:1–17. https://doi.org/10.3233/JIFS-182609
Gibson HJ, Kaplanidou K, Kang SJ (2012) Small-scale event sport tourism: A case study in sustainable tourism. Sport Manag Rev 15(2):160–170. https://doi.org/10.1016/j.smr.2011.08.013
Gouraizim M, Makan A, El Ouarghi H (2023) A CAR-PROMETHEE-based multi-criteria decision-making framework for sustainability assessment of renewable energy technologies in Morocco. Oper Manag Res. https://doi.org/10.1007/s12063-023-00361-4
Gupta H, Barua MK (2017) Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS. J Clean Prod 152:242–258. https://doi.org/10.1016/j.jclepro.2017.03.125
Habibi N (2008) The Iranian economy in the shadow of economic sanctions. Middle East Brief 31:1–8
Ho W, Ka Man Lee C, To Sum Ho G (2008) Optimization of the facility location-allocation problem in a customer-driven supply chain. Oper Manag Res 1(1):69–79. https://doi.org/10.1007/s12063-008-0007-x
Hosseini V, Shahbazi H (2016) Urban air pollution in Iran. Iran Stud 49(6):1029–1046. https://doi.org/10.1080/00210862.2016.1241587
IFCH (2021) Holding chookhe competitions. https://chookhe.ir/2021/05/24/%d8%a8%d8%b1%da%af%d8%b0%d8%a7%d8%b1%db%8c-%d9%85%d8%b3%d8%a7%d8%a8%d9%82%d8%a7%d8%aa-%da%a9%d8%b4%d8%aa%db%8c-%d8%a8%d8%a7-%da%86%d9%88%d8%ae%d9%87/
Ishizaka A, Nemery P, Lidouh K (2013) Location selection for the construction of a casino in the Greater London region: A triple multi-criteria approach. Tour Manag 34:211–220. https://doi.org/10.1016/j.tourman.2012.05.003
Jahanshahi D, Minaei M, Kharazmi OA, Minaei F (2019) Evaluation and relocating bicycle sharing stations in Mashhad City using multi-criteria analysis. Int J Transp Eng 6(3):265–283. https://doi.org/10.22119/ijte.2018.96377.1365
Javad MOM, Darvishi M, Javad AOM (2020) Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company. Sustain Futures 2:100012. https://doi.org/10.1016/j.sftr.2020.100012
Kabak M, Erbaş M, Çetinkaya C, Özceylan E (2018) A GIS-based MCDM approach for the evaluation of bike-share stations. J Clean Prod 201:49–60. https://doi.org/10.1016/j.jclepro.2018.08.033
Kang S, Lee G-L, Hong S (2013) Preserving cultural heritage in kindergartens in Korea. In S. Clark Wortham (Ed.), Common Characteristics and Unique Qualities in Preschool Programs: Global Perspectives in Early Childhood Education (pp. 67–74). Springer Netherlands. https://doi.org/10.1007/978-94-007-4972-6_7
Karaca C, Ulutaş A, Yamaner G, Topal A (2019) The selection of the best Olympic place for Turkey using an integrated MCDM model. Decis Sci Lett 8(1):1–16
Karaköprü UO, Kabadurmuş Ö (2020) Evaluation of stadium locations using ahp and topsis methods. Eskişehir Osmangazi Üniversitesi İktisadi Ve İdari Bilimler Dergisi 15(1):1–16
Kayacan T, Yirmibeşoğlu F (2017) Site selection criteria for sports retail sector: Istanbul Case. Curr Urban Stud 5(3):290–304
Kheybari S, Ishizaka A, Salamirad A (2023) A new hybrid risk-averse best-worst method and portfolio optimization to select temporary hospital locations for Covid-19 patients. J Oper Res Soc 74(2):509–526. https://doi.org/10.1080/01605682.2021.1993758
Kheybari S, Javdanmehr M, Rezaie FM, Rezaei J (2021) Corn cultivation location selection for bioethanol production: An application of BWM and extended PROMETHEE II. Energy 228:120593. https://doi.org/10.1016/j.energy.2021.120593
Kheybari S, Kazemi M, Rezaei J (2019) Bioethanol facility location selection using best-worst method. Appl Energy 242:612–623. https://doi.org/10.1016/j.apenergy.2019.03.054
Kheybari S, Rezaie FM, Naji SA, Javdanmehr M, Rezaei J (2020) Evaluation of factors contributing to the failure of information systems in public universities: The case of Iran. Inf Syst 92:101534
Kheybari S, Salehpour R (2015) The optimization of the paddy field irrigation scheduling using mathematical programming. Water Science and Technology: Water Supply 15.5:1048–1060
Kwon YS, Lee BK, Sohn SY (2020) Optimal location-allocation model for the installation of rooftop sports facilities in metropolitan areas. Eur Sport Manag Q 20(2):189–204. https://doi.org/10.1080/16184742.2019.1598454
Lamb KE, Ferguson NS, Wang Y, Ogilvie D, Ellaway A (2010) Distribution of physical activity facilities in Scotland by small area measures of deprivation and urbanicity. Int J Behav Nutr Phys Act 7(1):1–8
Liang F, Brunelli M, Rezaei J (2020) Consistency issues in the best worst method: Measurements and thresholds. Omega 96:102175
Liao S-K, Hsu H-Y, Chang K-L (2018) A hybrid multiple criteria decision making model for selecting the location of women’s fitness centers. Math Probl Eng 2018:1–11. https://doi.org/10.1155/2018/9780565
Lucas S, Pinheiro M, Rama D (2017) Sustainability performance in sport facilities management. In (pp. 113–138). https://doi.org/10.1007/978-3-319-63907-9_8
McCullough BP, Cunningham GB (2011) Recycling intentions among youth baseball spectators. Int J Sport Manag Mark 10(1–2):104–120
McCullough BP, Pfahl ME, Nguyen SN (2016) The green waves of environmental sustainability in sport. Sport Soc 19(7):1040–1065
Mi X, Tang M, Liao H, Shen W, Lev B (2019) The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what’s next? Omega 87:205–225
Nolan B, Whelan C (2010) Using non-monetary deprivation indicators to analyze poverty and social exclusion: Lessons from Europe? J Policy Anal Manag 29:305–325. https://doi.org/10.2307/20685185
Nolen S (2015) Canada to host World Indigenous Peoples' Games in 2017. Retrieved June 06 2022 from https://www.theglobeandmail.com/news/national/canada-to-host-world-indigenous-peoples-games-in-2017/article27087911/
Pfeffer K (2003) Integrating spatio-temporal environmental models for planning ski runs. Nederlandse Geografische Studies
Pramanik R, Bhattacharya S (2018) Play and indigenous games of children: A cultural heritage of Western Odisha, India. Knowl Cult 6:96–110. https://doi.org/10.22381/KC6220187
Rezaei J (2018) Piecewise linear value functions for multi-criteria decision-making. Expert Syst App 98:43–56. https://doi.org/10.1016/j.eswa.2018.01.004
Sajjadi N (2013) Management of design of sports facilities and equipment (2 ed.). Avaye Zhoor
Salimi M (2017) A model to identify and interpret sport places per capita according to distribution of thiessen networks in GIS space. J Sport Manag 8(6):875–890. https://doi.org/10.22059/jsm.2017.60769
Sánchez-Fernández MD, Álvarez-Bassi D, Ramón-Cardona J (2017) The Impact of residents’ posture on the degree of acceptance of sports tourism in comparison to other tourist offers in Punta del Este. In M. Peris-Ortiz, J. Álvarez-García, & M. d. l. C. Del Río-Rama (Eds.), Sports Management as an Emerging Economic Activity: Trends and Best Practices (pp. 39–56). Springer International Publishing. https://doi.org/10.1007/978-3-319-63907-9_3
Szmelter-Jarosz A, Rześny-Cieplińska J (2020) Priorities of urban transport system stakeholders according to crowd logistics solutions in city areas. A sustainability perspective. Sustainability 12(1). https://doi.org/10.3390/su12010317
Talen E (1998) Visualizing fairness: Equity maps for planners. J Am Plann Assoc 64(1):22–38
Townsend P (1979) Poverty in the United Kingdom: a survey of household resources and standards of living. Univ California Press
Trendafilova S, McCullough B, Pfahl M, Nguyen SN, Casper J, Picariello M (2014) Environmental sustainability in sport: Current state and future trends. Glob J Adv Pure Appl Sci 3
Vandermeerschen H, Scheerder J (2017) Sport managers’ perspectives on poverty and sport: The role of local sport authorities. Sport Manag Rev 20(5):510–521. https://doi.org/10.1016/j.smr.2017.02.002
Walsh J, Hanswyk C, Lee J (2023) FIFA world cup stadium suitability in the montreal metropolitan area (Publication Number GEOG*4480) [Undergraduate Project, Guelph University]. Coll Soc Appl Hum Sci. https://geg.uoguelph.ca/sites/default/files/GEOG4480-W23_Group05.pdf. Accessed 15 Aug 2023
Wang C-Y, Tsai P-H, Zheng H (2013) Constructing Taipei City sports centre performance evaluation model with fuzzy MCDM approach based on views of managers. Math Probl Eng
Wanke P, Barros CP, Emrouznejad A (2015) Assessing productive efficiency of banks using integrated fuzzy-DEA and bootstrapping: A case of Mozambican banks. Eur J Oper Res 249. https://doi.org/10.1016/j.ejor.2015.10.018
Yang C, Chuang S, Huang R, Tai C (2008) Location selection based on AHP/ANP approach. 2008 IEEE Int Conf Ind Eng Eng Manag 148–1153
Yang J-J, Chuang Y-C, Lo H-W, Lee T-I (2020a) A two-stage MCDM model for exploring the influential relationships of sustainable sports tourism criteria in Taichung City. Int J Environ Res Publ Health 17(7)
Yang J-J, Lo H-W, Chao C-S, Shen C-C, Yang C-C (2020b) Establishing a sustainable sports tourism evaluation framework with a hybrid multi-criteria decision-making model to explore potential sports tourism attractions in Taiwan. Sustainability 12(4). https://doi.org/10.3390/su12041673
Yang J, Lee H (1997) An AHP decision model for facility location selection. Facilities 15: 241–254
YJC (2022) There are 4,200 half-finished sports projects in the country. Retrieved 16 July from https://www.yjc.news/fa/news/8048059/%D9%88%D8%AC%D9%88%D8%AF-%DB%B4%D9%87%D8%B2%D8%A7%D8%B1-%D9%88-%DB%B2%DB%B0%DB%B0-%D9%BE%D8%B1%D9%88%DA%98%D9%87-%D9%88%D8%B1%D8%B2%D8%B4%DB%8C-%D9%86%DB%8C%D9%85%D9%87-%D8%AA%D9%85%D8%A7%D9%85-%D8%AF%D8%B1-%DA%A9%D8%B4%D9%88%D8%B1
Zasimova L (2020). Sports facilities’ location and participation in sports among working adults. Eur Sport Manag Quart 1–21. https://doi.org/10.1080/16184742.2020.1828968
Zohrevandian K, Asadi H, Ebrahimi F, Samadi M (2016) Determination and prioritization of criteria of site selection to establish sport facilities for equal access by analytical hierarchy process (AHP). J Sport Manag 7(6):795–814. https://doi.org/10.22059/jsm.2016.57449
Zohrevandian K, Ebrahimi F (2014) Offering of suggestion model for site selection of sport place by incorporation multi-criteria decision making methods (MCDM) and geographic information system (GIS). Sport Manag Stud 5(21):111–126. https://smrj.ssrc.ac.ir/article_243.html
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Appendix B
GIS results for the criteria presented in Table 9.
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Arabnarmi, B., Khalilian, F., Kheybari, S. et al. Sports complex location selection for traditional games. Oper Manag Res 17, 340–362 (2024). https://doi.org/10.1007/s12063-023-00434-4
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DOI: https://doi.org/10.1007/s12063-023-00434-4