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Estimating the direct impact of mega sport events on domestic tourism demand: A micro-level approach using Paris 2024
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DOI：10.1016/j.tourman.2026.105500.png)
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Abstract
En 中文
Research on mega sport events and tourism demand has largely overlooked domestic tourism and relied on aggregated data that mask individual behavioural adjustments. Using Paris 2024 as a case study, we propose a methodology to estimate the direct impact of mega sport events on domestic tourism at the individual level. A retrospective paired-sample survey is used to construct a two-period panel dataset (2023–2024). Individuals are classified as positively affected, negatively affected, or unaffected using self-reported motivations validated by counterfactual behaviour absent the event to mitigate ex-post rationalisation bias. Tourism demand remains unchanged based on the full sample due to offsetting behavioural responses: travel versus stay-at-home attraction among positively affected, and substitution versus crowding-out among negatively affected. However, focusing on actual travellers, affected individuals exhibit a larger increase in overnight stays than unaffected residents, without increasing visit frequency. Micro-level approaches are critical to capture how mega events reshape tourism demand.
Keywords:
Mega sport events
Domestic tourism
Individual travel behaviour
Counterfactual analysis
Paris 2024
C18
D12
Z20
Z32
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12.4
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