A Life-Cycle AHP-CVM-VIKOR Framework for Environmental Sustainability Assessment of Super Bowl Host Cities

Authors

  • Jiaxian Li SHANGHAI QINGPU WORLD FOREIGN LANGUAGE HIGH SCHOOL, Shanghai 201700, China
  • Xiang Li SHANGHAI QINGPU WORLD FOREIGN LANGUAGE HIGH SCHOOL, Shanghai 201700, China
  • Hanning Sun SHANGHAI QINGPU WORLD FOREIGN LANGUAGE HIGH SCHOOL, Shanghai 201700, China
  • Chenwei Guo SHANGHAI QINGPU WORLD FOREIGN LANGUAGE HIGH SCHOOL, Shanghai 201700, China

DOI:

https://doi.org/10.54691/0bny7j07

Keywords:

Sport mega-events, environmental sustainability, host-city selection, AHP-CVM, VIKOR, Comprehensive Environmental Impact Index.

Abstract

Large sport events generate short-duration yet high-intensity environmental pressure, through venue operation, spectator mobility, demand for accommodation, water consumption and solid-waste generation. However, current sustainability assessments are often decoupled from host-city selection, reducing their practical decision value. The study develops an integrated life-cycle AHP-CVM-VIKOR framework for sustainability-oriented Super Bowl host-city selection. First, a life-cycle indicator system is developed to characterize the event-related energy use, greenhouse gas emissions, water demand, solid waste, transportation, accommodation and city profile conditions. Then, an AHP-CVM coupling procedure is used to integrate expert-based criterion importance and preference-based environmental valuation, and the resulting weights are embedded in the VIKOR compromise-ranking model to calculate a Comprehensive Environmental Impact Index (CEII). The framework is applied to past Super Bowl host cities and three 2029 candidate cities, Chicago, Denver and Philadelphia. The results indicate that food-related waste, waste-diversion performance, on-site fuel consumption, wastewater generation, and stadium electricity consumption are important contributors to the CEII. Of the 2029 candidates, Chicago has the lowest CEII, with Denver and Philadelphia next. The model is extended to Olympic-scale events and tested by sensitivity analysis to show its transferability to multi-venue sport mega-events. The framework proposed is a transparent decision support tool to compare candidate cities and to identify priorities for environmental mitigation.

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References

[1] Muller, M., Wolfe, S. D., Gaffney, C., Gogishvili, D., Hug, M., & Leick, A. (2021). An assessment of the sustainability of the Olympic Games. Nature Sustainability, 4(4), 340–348.

[2] Dolf, M., & Teehan, P. (2015). Greening the trips of the teams and spectators to varsity sports events at the University of British Columbia to reduce the carbon footprint. Sport Management Review, 18(2), 244–255.

[3] Collins, A., Jones, C., & Munday, M. (2009). Mega sporting events: Two options for assessing their environmental impacts? Tourism Management, 30(6), 828–837.

[4] Andersson, T. D., & Lundberg, E. (2013). Commensurability and sustainability: Triple impact assessments of a tourism event. Tourism Management, 37, 99–109.

[5] Pallathadka, A., Chang, H., & Ajibade, I. (2023). Urban sustainability implementation and indicators in the United States: A systematic review. City and Environment Interactions, 19, 100108.

[6] Nisel, S. (2016). A review of AHP/ANP in sports. International Journal of the Analytic Hierarchy Process, 8(2), 283–303.

[7] Kurttila, M., Pesonen, M., Kangas, J., & Kajanus, M. (2000). Using the Analytical Hierarchy Process in SWOT analysis. Forest Policy and Economics, 1(1), 41–52.

[8] NOAA Panel. (1993). Contingent valuation [Report]. Federal Register, 58.

[9] Johnston, R. J., Boyle, K. J., Adamowicz, W., Bennett, J., Brouwer, R., Cameron, T. A., et al. (2017). Contemporary guidance for stated preference studies. Journal of the Association of Environmental and Resource Economists, 4(2), 319–405.

[10] Opricovic, S., & Tzeng, G. H. (2007). Comparison of extended VIKOR method with outranking methods. European Journal of Operational Research, 178(2), 514–529.

[11] Mardani, A., Zavadskas, E. K., Govindan, K., Senin, A. A., & Jusoh, A. (2016). VIKOR technique: A systematic review of methodologies and applications. Sustainability, 8, 37.

[12] Wang, Z. X., Li, Q., & Pei, L. L. (2018). Seasonal GM(1,1) Model to Forecast Electricity Consumption of Primary Economic Sectors. Energy, 154, 522–534.

[13] Liu, S., Yang, Y., & Forrest, J. (2020). Grey data analysis: Methods, models and applications. Springer.

[14] Collins, A., Flynn, A., Munday, M., & Roberts, A. (2007). An Investigation of the Environmental Impacts of Major Sporting Events. Urban Studies, 44(3), 457–476.

[15] Cerezo-Esteve, S., Puig-Tarrech, A., Serra, E., & Inglés, E. (2022). The environmental impact of major sport events: A systematic review. Sustainability, 14, 13581.

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Published

2026-06-23

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Section

Articles

How to Cite

Li, Jiaxian, Xiang Li, Hanning Sun, and Chenwei Guo. 2026. “A Life-Cycle AHP-CVM-VIKOR Framework for Environmental Sustainability Assessment of Super Bowl Host Cities”. Scientific Journal of Intelligent Systems Research 8 (5): 74-81. https://doi.org/10.54691/0bny7j07.