Forecasting Tourism Demand: Methods and Strategies

By D. Frechtling. 2001

147 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d3952e91e7dd117a11619080ea41a3df07a661f7

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Citations in the corpus

An Assessment of Visitor Expenditure Methods and Models (2006, background): “However, studies also have been published that project future visitor spending from a major event proposed to be held (Madden 2002; Brown, Var, and Lee 2002) or visitor expenditures in a study area (Frechtling 2001).”
Hotel Revenue Management – A Critical Literature Review (2011, unknown): “Review of available literature on hotel RM reveals that most papers deal with 2 main topics: forecasting demand (e.g. Frechtling, 2001; Lim & Chan, 2011; Song, Witt & Li, 2009) and forecasting RM metrics and operational data (El Gayar et al., 2011; Haensel & Koole, 2011; Morales & Wang, 2010;…”
Forecasting: theory and practice (2020, background): “Forecasting individual stock returns on the basis of firm characteristics in a panel framework, Freyberger et al. (2020) and Gu et al.”
Tourism Demand Modelling and Forecasting: How Should Demand Be Measured? (2010, background): “Keywords: tourist arrivals; tourist expenditure; forecasting accuracy; Hong Kong Tourism demand is usually regarded as a measure of visitors’ use of a good or service (Frechtling, 2001).”
Forecasting international tourist flows to Macau (2006, background): “Tourism forecasts may be generated by either quantitative approaches or qualitative approaches (Frechtling, 2001).”
Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model (2006, background): “As for tourism businesses aiming to maximize their profits, accurate forecasts can “avoid the financial costs of excess capacity or the opportunity costs of unfilled demand” (Frechtling 2001, p. 6).”