Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28794
Title: Tourism demand modelling and forecasting
Authors: Song, H 
Guo, W
Keywords: Forecasting
Modelling
Tourism demand
Issue Date: 2008
Publisher: CABI Publishing
Source: In AG Woodside & D Martin (Eds.), Tourism management : analysis, behaviour and strategy, p. 113-128. Wallingford, UK ; Cambridge, MA: CABI Publishing, 2008 How to cite?
Abstract: This chapter provides an overview of the recent developments in tourism demand modelling and forecasting since the 1990s. While a wide range of forecasting models is available for tourism demand forecasting, tourism managers should use models that are based on solid economic theories and provide reliable forecasts. In addition, this chapter suggests that in addition to forecasting error magnitude, directional change errors and turning point forecasting should be studied. Moreover, since no single model consistently generates superior forecasts across all situations, combining the forecasts generated from different forecasting methods improves tourism demand forecasting accuracy.
URI: http://hdl.handle.net/10397/28794
ISBN: 9781845933234 (hbk. : alk. paper)
Appears in Collections:Book Chapter

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

36
Last Week
2
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.