Forecasting Tourism Demand with Decomposed Search Cycles

This study aims to examine whether decomposed search engine data can be used to improve the forecasting accuracy of tourism demand. The methodology was applied to predict monthly tourist arrivals from nine countries to Hong Kong. Search engine data from Google Trends were first decomposed into diffe...

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Bibliographische Detailangaben

Veröffentlicht in:	Journal of travel research 2020-02, Vol.59 (1), p.52-68
Hauptverfasser:	Li, Xin, Law, Rob
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Decomposition Forecasting Search engines Tourism
Online-Zugang:	Volltext
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