Tourism demand modelling and forecasting—A review of recent research
By Haiyan Song, Gang Li. 2008
1,422 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Tourism, Leisure and Hospitality Management, Transportation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
In Tourism, Leisure and Hospitality Management
- Haiyan Song
- D. Wu
- Gang Li
- George Athanasopoulos
- Kevin K. F. Wong
- Shujie Shen
- Glauco De Vita
- G. Crouch
In Transportation
- D. Wu
- Haiyan Song
- E. Smeral
- G. Crouch
- Shujie Shen
- Stephen Page
- Juan Gabriel Brida
- J. A. Campos-Soria
Citations in the corpus
- The Tourism Forecasting Competition (2011, background): “The three major literature review articles that attempt to summarise these are Witt and Witt (1995), Li et al. (2005) and Song and Li (2008).”
- The impacts of immigrants and institutions on bilateral tourism flows (2016, background): “…by Crouch (1994); Lim (1997); Witt and Witt (1995) have summarized advances in the field that span the period 1960e2000, while Song and Li (2008) have produced a more detailed account of the different contributions that took place in the post-2000 era by classifying the…”
- Tourism Demand Modelling and Forecasting: How Should Demand Be Measured? (2010, methodology): “The applications of ADLMs to recent tourism demand modelling and forecasting studies were summarized by Song and Li (2008).”
- Micro-economic determinants of tourist expenditure: a quantile regression approach. (2015, positive): “The widespread interest in this issue among academic researchers is confirmed by two recent review articles on tourism demand modeling and forecasting (Song and Li, 2008) and on the determinants of tourist expenditure based on micro data (Brida and Scuderi, 2013).”
- Combination of long term and short term forecasts, with application to tourism demand forecasting (2011, background): “A very thorough and up to date review is given by Song and Li (2008). Interestingly, there has been little work on forecasting tourism for Egypt, either inbound or outbound (there have been a few econometric forecasting models, such as those of Hilaly & El-Shishiny, 2008, Kamel, Atiya, El Gayar, & E”
- The long-run impact of exchange rate regimes on international tourism flows (2014, background): “The determinants of international tourism flows have been under intense theoretical and empirical scrutiny for several decades (for relevant surveys, see Crouch, 1994; Li, Song, & Witt, 2005; Lim, 1997; and Song & Li, 2008).”
- Impacts of the World Recession and Economic Crisis on Tourism: Forecasts and Potential Risks (2010, background): “The general ADLM formulated above encompasses a number of specific econometric and time-series models that have been widely used in the specific literature on tourism demand modeling and forecasting (Song and Witt 2000, 2003; Song and Li 2008).”
- Determinants of tourist expenditure: a review of microeconometric models (2013, background): “Unlike studies on aggregate demand – see for instance the recent review by Song and Li (2008) – heterogeneity in using different econometric models is not high in studies on tourist expenditure determinants.”
- Tourism Competitiveness and Corruption: A Cross-Country Analysis (2010, background): “…tourism demand, has identified factors such as income, population, price differentials, transportation costs, exchange rates and culture, among others, as important determinants of tourism demand (Crouch, 1994, 1996; Witt et al, 1994; Lim, 1997; Morley, 1998; Sinclair, 1998; Song and Li, 2008).”
- Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals (2011, methodology): “According to Song and Li (2008), the main question in past studies on tourism forecasting has been whether or not one could establish a forecasting principle for academics and practitioners; that is, whether one can identify any models or methods that consistently generate more accurate forecasts…”
- Forecasting hotel room demand using search engine data. (2012, methodology): “…both independent and dependent variables; the former include populations of source markets, tourist income levels, tourism prices in both the focus and competing destinations, exchange rates, and other qualitative data, as well as " one-off " events such as the Olympic Games (Song, Li & Witt 2008).”