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Tourism Management, ISSN 0261-5177, 2008, Volume 29, Issue 2, pp. 203 - 220
This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One of the key findings of this review is that the methods... 
Tourism demand | Forecasting | Modelling | UNITED-STATES | SYSTEM | COINTEGRATION ANALYSIS | INTERNATIONAL TRAVEL DEMAND | tourism demand | MANAGEMENT | MARKET SHARES | forecasting | modelling | ACCURACY | TIME-SERIES | NEURAL-NETWORK | HOSPITALITY, LEISURE, SPORT & TOURISM | FLOWS | ENVIRONMENTAL STUDIES | ARRIVALS | Travel industry | Models | Econometric models
Journal Article
International Journal of Forecasting, ISSN 0169-2070, 2011, Volume 27, Issue 3, pp. 822 - 844
Journal Article
International Journal of Forecasting, ISSN 0169-2070, 10/2009, Volume 25, Issue 4, pp. 760 - 772
Simple statistical forecasting rules, which are usually simplifications of classical models, have been shown to make better predictions than more complex... 
Fast and frugal heuristics | Unit weighting | Robustness | Heuristics | Cross-validation | Overfitting | TAKE-THE-BEST | MANAGEMENT | RECOGNITION | WIMBLEDON | INFORMATION | PERFORMANCE | SIMPLE HEURISTICS | LINEAR-MODELS | STRATEGIES | ACCURACY | ECONOMICS | PARAMETER | Heuristics Fast and frugal heuristics Unit weighting Robustness Overfitting Cross-validation
Journal Article
Tourism Management, ISSN 0261-5177, 04/2017, Volume 59, pp. 57 - 66
Researchers have adopted online data such as search engine query volumes to forecast tourism demand for a destination, including tourist numbers and hotel... 
Big data analytics | Tourism demand forecast | Generalized dynamic factor model | Search query data | Composite search index | REVIEWS | MANAGEMENT | ANALYTICS | ACCURACY | BIG DATA | NEURAL-NETWORK | HOSPITALITY, LEISURE, SPORT & TOURISM | DYNAMIC-FACTOR MODEL | ENVIRONMENTAL STUDIES | ARRIVALS | Travel industry | Analysis | Forecasts and trends | Big data
Journal Article
Journal of Travel Research, ISSN 0047-2875, 9/2019, Volume 58, Issue 7, pp. 1161 - 1174
This study investigates whether pooling can improve the forecasting performance of tourism demand models. The short-term domestic tourism demand forecasts for... 
spillover effects | tourism demand | pooling | panel | forecasting | DYNAMIC PANEL-DATA | GDP | ESTIMATORS | GROWTH | HOSPITALITY, LEISURE, SPORT & TOURISM
Journal Article
Tourism Management, ISSN 0261-5177, 02/2015, Volume 46, pp. 322 - 335
Journal Article
Annals of Tourism Research, ISSN 0160-7383, 03/2017, Volume 63, pp. 112 - 127
•This study forecasts European tourism demand using nine forecasting models.•Successfully introduces SSA-R and TBATS models for tourism demand forecasting.•No... 
Singular spectrum analysis | Tourist arrivals | Time series analysis | Forecasting | SERIES | RECEIPTS | TIME-VARYING LINKAGES | SEASONALITY | DEMAND | MODELS | NEURAL-NETWORK | HOSPITALITY, LEISURE, SPORT & TOURISM | ECONOMIC-GROWTH | FLOWS | SOCIOLOGY | Travel industry | Analysis | Traffic | Neural networks | Art schools | Clothing industry | Forecasts and trends
Journal Article
European Journal of Operational Research, ISSN 0377-2217, 09/2018, Volume 269, Issue 3, pp. 860 - 869
•We solve a real-world intermittent demand forecasting problem.•We propose an aggregation–decomposition intermittent demand forecasting method.•We propose a... 
Forecasting | Greedy Heuristic | Intermittent demand | Heuristic programming | Usage | Clothing industry | Industry forecasts | Mathematical optimization
Journal Article
Annals of Tourism Research, ISSN 0160-7383, 03/2019, Volume 75, pp. 379 - 392
•Density forecasting in tourism is useful to reduce the decision risk.•Density forecasts generated from a number of time series models are evaluated.•Seasonal... 
Tourism demand | Bootstrap | Scoring rules | Density forecasts | BOOTSTRAP PREDICTION INTERVALS | TIME-SERIES | HOSPITALITY, LEISURE, SPORT & TOURISM | PROJECTIONS | SOCIOLOGY | Travel industry | Analysis
Journal Article
Tourism Management, ISSN 0261-5177, 02/2015, Volume 46, pp. 386 - 397
Journal Article
2008, 1st ed., A Falcon guide, ISBN 9780762747634, viii, 69
Discover how to predict and recognize shifts in weather patterns; understand how and why different types of weather occur; identify cloud formations and know... 
Weather | Weather forecasting
Book
Annals of Tourism Research, ISSN 0160-7383, 11/2016, Volume 61, pp. 199 - 212
•Introduces Google Analytics website traffic indicators to forecast tourist arrivals.•Employs different big data shrinkage techniques.•Applies various forecast... 
Big data | Factor analysis | Vector autoregression | City tourism | Bayesian analysis | Forecast combination | COMBINATION | TOURISM DEMAND | ACCURACY | COINTEGRATION | MODELS | HOSPITALITY, LEISURE, SPORT & TOURISM | FLOWS | SOCIOLOGY
Journal Article