Time Series Forecasts of International Travel Demand for Australia

By Christine Lim, Michael Mcaleer. 2002

308 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Tourism, Leisure and Hospitality Management

View Paper: https://www.semanticscholar.org/paper/fdf786b50d169f7e652f3bd9f5ed43dda99dcb53

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In Sociology and Political Science

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Citations in the corpus

Forecasting Chinese tourist volume with search engine data (2015, methodology): “In the Asian-Pacific area, Lim and McAleer (2002) compared several exponential smoothing models in order to estimate quarterly tourist volumes from Hong Kong, Malaysia and Singapore to Australia during the period of 1975 to 1999. The results showed that the Hoyt-Winter additive model and multi-varia”
Seasonality research: the state of the art (2005, background): “Lim and McAleer (2000; 2001a; 2001b; 2002; 2003) also have published a number of studies relating to seasonal modelling, with the aim of forecasting tourism demand from Asia to Australia.”
Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2012, background): “Tan et al., 2009) and international air passenger flow (Faraway and Chatfield, 1998; Lim and McAleer, 2002; Chen et al., 2009).”
Support vector regression with genetic algorithms in forecasting tourism demand (2007, methodology): “For instance, Lim and McAleer (2002) employed Box–Jenkins’ autoregressive integrated moving average (ARIMA) model to forecast tourist arrivals to Australia from Hong Kong, Malaysia and Singapore.”
Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model (2006, background): “With regard to timeseries forecasting, the autoregressive integrated moving average (ARIMA) model has achieved the greatest popularity in tourism forecasting, because it generated the most accurate forecasts in a number of studies such as Chu (1998) and Lim and McAleer (2002).”
Modelling and Forecasting Australian Domestic Tourism (2006, background): “…focus of Australian academic tourism research has been on international tourism (see, for example, Kulendran & King, 1997; Kulendran & Witt, 2003; Lim & McAleer, 2001a, 2002; Morley, 1998; Morris, Wilson, & Bakalis, 1995); worldwide tourism research has had a similar focus (see Li, Song, & Witt,…”
Tourism demand modelling and forecasting—A review of recent research (2008, methodology): “Likewise, Lim and McAleer (2002) employed the SARIMA models to analyse the effects of the one-off events on the demand for Australian tourism by the Asian source markets.”