Abstract
It is important to provide scientific assessments concerning the future of tourism under the uncertainty surrounding COVID-19. To this purpose, this paper presents a two-stage three-scenario forecast framework for inbound-tourism demand across 20 countries. The main findings are as follows: in the first-stage ex-post forecasts, the stacking models are more accurate and robust, especially when combining five single models. The second-stage ex-ante forecasts are based on three recovery scenarios: a mild case assuming a V-shaped recovery, a medium one with a V/U-shaped, and a severe one with an L-shaped. The forecast results show a wide range of recovery (10%–70%) in 2021 compared to 2019. This two-stage three-scenario framework contributes to the improvement in the accuracy and robustness of tourism demand forecasting.
| Original language | English |
|---|---|
| Article number | 103155 |
| Journal | Annals of Tourism Research |
| Volume | 88 |
| DOIs | |
| Publication status | Published - May 2021 |
Keywords
- COVID-19
- Judgmental-adjusted forecasting
- Recovery scenarios
- Stacking models
- Tourism forecasting competition
ASJC Scopus subject areas
- Development
- Tourism, Leisure and Hospitality Management
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