Contextual Impact Adjustment and Entropy-TOPSIS Framework for Environmental Sustainability Assessment of Sport Mega-Events
DOI:
https://doi.org/10.62051/3b233v44Keywords:
Sustainability Assessment; Entropy Weight Method; TOPSIS; Contextual Im- pact Adjustment; Mega-Event Site Selection; Carbon Footprint; Climate Risk Amplification; Principal Component Analysis; Super Bowl; Olympic GamesAbstract
This study develops a three-component sustainability assessment framework for sport mega-event host selection: Baseline Analysis, Contextual Impact Adjustment Model (CIAM), and Entropy-TOPSIS ranking. Using Super Bowl LIX as reference, thirteen environmental indicators quantify venue energy, transportation, waste, and climate re- silience. CIAM transforms raw metrics through: (I) grid carbon intensity adjustment; (II) localized infrastructure reuse benefits; (III) non-linear climate risk amplification; (IV) OLS-derived city-specific transport elasticity. Principal Component Analysis and entropy weighting ensure objective evaluation. Applied to 22 U.S. cities, East Rutherford (0.6847) ranks highest through superior transit and climate resilience, while Las Vegas (0.2154) ranks lowest due to car-dependency and heat vulnerability. Olympic extension using Paris 2024 (0.8236) validates transfer- ability. Sensitivity analysis confirms robustness: ±20% weight perturbations yield ¡3% score variation with no rank reversals.
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