Tourism forecasting
A dynamic spatiotemporal model
Datos Bibliográficos
| ID | 11232201 |
|---|---|
| Autores | Ming Pan (0000-0003-3350-8719, Southwestern University of Finance and Economics), Mengqiang Pan, Zhixue Liao (0000-0002-5023-7271, Southwestern University of Finance and Economics, autor de correspondencia), Z Wang (0000-0002-1285-9803, Southwestern University of Finance and Economics), Chi Ren (Southwestern University of Finance and Economics), Zhibin Xing (0009-0006-7567-5338, Southwestern University of Finance and Economics), Wenyong Li (0000-0003-3795-5997, Southwestern University of Finance and Economics) |
| Año | 2025 |
| Volumen | 110 |
| Páginas | 103871 |
| Fecha de publicación | 2025-01-01 |
| 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.2024.103871 |
| OpenAlex | W4404281300 |
| Idioma | EN |
| Citas recibidas | 6 |
| Referencias citadas | 57 |
Archaeology · Business · Economic geography · Geography · Regional science · Tourism · Diverse Aspects of Tourism Research · Grey System Theory Applications · Wine Industry and Tourism
A Spatial Econometric Approach to Model Spillover Effects in Tourism Flows
The spatial heterogeneity and dynamics of tourism-flow spillover effect
Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence
Fine-grained tourism demand forecasting
Comparing Predictive Accuracy
A review of research on tourism demand forecasting
A deep learning approach for daily tourist flow forecasting with consumer search data
A novel hybrid model for tourist volume forecasting incorporating search engine data
Tourism demand modelling and forecasting—A review of recent research
Using a Grey–Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrivals to China
Forecasting tourist arrivals with machine learning and internet search index
A meta-analysis of international tourism demand forecasting and implications for practice
Tourism forecasting by mixed-frequency machine learning
Forecasting tourism demand with composite search index
Tourism forecasting
Earthquake devastation and recovery in tourism
Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting
Forecasting international tourism demand
To buy or not to buy? The effect of time scarcity and travel experience on tourists' impulse buying
Stochastic Modeling
Forecasting turning points in tourism growth
Forecasting city arrivals with Google Analytics
Tourism demand forecasting with spatiotemporal features
Spatial-temporal forecasting of tourism demand
Spillover analysis of tourist movements within Europe
Modelling the interdependence of tourism demand
Tourism forecasting with granular sentiment analysis
Forecasting tourist arrivals in Barbados
Daily tourism volume forecasting for tourist attractions
Tourism demand forecasting with time series imaging
Multi-attraction, hourly tourism demand forecasting
Forecasting tourism demand
Factors affecting tourists' public transport use and areas visited at destinations
| Obras citantes distintas | 6 |
|---|---|
| Citas por año | 6 |
| Intervalo de citas | 2025 - 2026 (2) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 6 |