Rethinking COVID-19 tourism recovery

Annals of Tourism Research 2026 Open access

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Authors: Anestis Fotiadis, Efstathios Polyzos, Tzung-Cheng Huan
DOI: 10.1016/j.annals.2026.104147
Cited by: 1
References: 16

Abstract

• Introduces scenario-based forecasting for tourism during crises. • Combines machine learning and statistical models to test recovery paths. • Shows forecasts vary depending on the historical crisis used. • Informs government and industry planning under pandemic uncertainty. • Provides advanced methods for resilient tourism forecasting and decision-making.

Fields of Study & Subjects

Diverse Aspects of Tourism Research COVID-19 Pandemic Impacts COVID-19 impact on air quality

Publication details

Journal / source
Annals of Tourism Research
Publisher
Elsevier BV
Volume
118
Pages
104147–104147
Publication date
26 February 2026
Language
EN