Rethinking Covid-19 tourism recovery
Datos Bibliográficos
| ID | 11233985 |
|---|---|
| Autores | Anestis Fotiadis (0000-0001-8806-7987, Zayed University), Efstathios Polyzos (0000-0002-4317-1809, Zayed University), Tzung-Cheng Huan (National Chiayi University, autor de correspondencia) |
| Año | 2026 |
| Volumen | 118 |
| Páginas | 104147 |
| Fecha de publicación | 2026-05-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Annals of Tourism Research (JOURNAL) |
| Identificadores de la revista | ISSN: 0160-7383 • E-ISSN: 1873-7722 |
| Editorial | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.annals.2026.104147 |
| OpenAlex | W7131679399 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 16 |
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
Coronavirus disease 2019 (COVID-19 · Economic impact analysis · Government (linguistics · Test (biology · Tourism · Tourist industry · COVID-19 impact on air quality · COVID-19 Pandemic Impacts · Diverse Aspects of Tourism Research
Impact of the Covid-19 crisis on European tourism
Evaluating tourism scenarios within the limit of acceptable change framework in Barcelona
Economic impacts of Covid-19 on the tourism sector in Tanzania
Financial distress in the hospitality industry during the Covid-19 disaster
Sentiments and recovery of the hospitality sector from Covid-19 – a managerial perspective through phenomenology
Enhancing tourism demand forecasting with a transformer-based framework
The good, the bad and the ugly on Covid-19 tourism recovery
Tourism combination forecasting with swarm intelligence
Forecasting tourism recovery amid Covid-19
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2026 - 2026 (1) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |