Forecasting tourist arrivals

By Christine Lim, Michael Mcaleer. 2001

148 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/2161d05f9b2a3a919e2df2c30bc328842437bf0b

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In Electrical and Electronic Engineering

In Management Science and Operations Research

Citations in the corpus

A meta-analysis of international tourism demand forecasting and implications for practice (2014, methodology): “Holt-Winter’s model (the triple ES method) adds seasonal variation to Holt’s model, which captures both the seasonal pattern and trend of the time series and usually outperforms other ES methods (Lim & McAleer, 2001).”
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,…”
Combination of long term and short term forecasts, with application to tourism demand forecasting (2011, background): “Examples from the first category include the work of Lim and McAleer (2001), who applied various types of exponential smoothing models to tourist arrivals to Australia; Witt, Newbould , and Watkins (1992), who applied exponential smoothing to domestic tourism to Las Vegas and showed that it obtains ”
An analysis of seasonality in monthly per person tourist spending in Turkish inbound tourism from a market segmentation perspective (2007, background): “This would improve effective tourism policy development, planning and investment decision-making (Lim & McAleer, 2000, 2001) in terms of efficient resource allocation in production, marketing, investment, and financial planning (Krakover, 2000).”
Forecasting Accuracy Evaluation of Tourist Arrivals: Evidence from Parametric and Non-Parametric Techniques (2015, unknown): “For instance, Lim and McAleer (2001) use a number of Holt-Winters and Browns exponential smoothing models, such as the single and double exponential smoothing, non-seasonal and seasonal exponential smoothing, as well as, additive and multiplicative Holt-Winters seasonal smoothing.”
Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis (2005, methodology): “With the non-causal methods, exponential smoothing and the Box–Jenkins procedure is very popular and has been used by, among others, Lim and McAleer (2001), Chu (1998), Turner et al (1997) and Sheldon (1993).”
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.”