Tourism Demand Modelling and Forecasting
Song, Haiyan and Li, Gang (2008) Tourism Demand Modelling and Forecasting Tourism Management, 29 (2).
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 used in analysing and forecasting the demand for tourism have been more diverse than those identified by other review articles. In addition to the most popular time series and econometric models, a number of new techniques have emerged in the literature. However, as far as the forecasting accuracy is concerned, the study shows that there is no single model that consistently outperforms other models in all situations. Furthermore, this study identifies some new research directions, which include improving the forecasting accuracy through forecast combination; integrating both qualitative and quantitative forecasting approaches, tourism cycles and seasonality analysis, events’ impact assessment and risk forecasting.
|Divisions :||Faculty of Arts and Social Sciences > School of Hospitality and Tourism Management|
|Date :||2 March 2008|
|Identification Number :||https://doi.org/10.1016/j.tourman.2007.07.016|
|Uncontrolled Keywords :||tourism demand, modelling, forecasting|
|Additional Information :||This is an author-prepared PDF of an article published in Tourism Management, 29, 203–220.|
|Depositing User :||Mr Adam Field|
|Date Deposited :||27 May 2010 14:37|
|Last Modified :||23 Sep 2013 18:31|
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