Spectral analysis of seasonality in tourism demand

This paper aims to analyse the seasonality in New Zealand tourism demand from Australia and the USA using spectral analysis. Tourism demand is divided into four different categories depending on the tourists’ visiting purposes as registered in the customs cards upon their arrivals in New Zealand. Sp...

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Main Authors: Chan, Felix, Lim, C.
Format: Journal Article
Published: Elsevier Science 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/16166
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author Chan, Felix
Lim, C.
author_facet Chan, Felix
Lim, C.
author_sort Chan, Felix
building Curtin Institutional Repository
collection Online Access
description This paper aims to analyse the seasonality in New Zealand tourism demand from Australia and the USA using spectral analysis. Tourism demand is divided into four different categories depending on the tourists’ visiting purposes as registered in the customs cards upon their arrivals in New Zealand. Spectral analysis based on the sample from January 1980 to December 2007 revealed that different travel purposes share similar cyclical components but their contributions to the total variation in tourism demand differ between travel purposes and markets. More importantly, the results show that analysing aggregated data is often not sufficient to reveal the underlying seasonal patterns of tourist arrivals and policy makers would benefit greatly by analysing disaggregated data rather than relying on the analysis of aggregated data alone.
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spelling curtin-20.500.11937-161662017-09-13T15:55:51Z Spectral analysis of seasonality in tourism demand Chan, Felix Lim, C. periodogram fast fourier transform spectral analysis tourism demand This paper aims to analyse the seasonality in New Zealand tourism demand from Australia and the USA using spectral analysis. Tourism demand is divided into four different categories depending on the tourists’ visiting purposes as registered in the customs cards upon their arrivals in New Zealand. Spectral analysis based on the sample from January 1980 to December 2007 revealed that different travel purposes share similar cyclical components but their contributions to the total variation in tourism demand differ between travel purposes and markets. More importantly, the results show that analysing aggregated data is often not sufficient to reveal the underlying seasonal patterns of tourist arrivals and policy makers would benefit greatly by analysing disaggregated data rather than relying on the analysis of aggregated data alone. 2011 Journal Article http://hdl.handle.net/20.500.11937/16166 10.1016/j.matcom.2010.06.005 Elsevier Science restricted
spellingShingle periodogram
fast fourier transform
spectral analysis
tourism demand
Chan, Felix
Lim, C.
Spectral analysis of seasonality in tourism demand
title Spectral analysis of seasonality in tourism demand
title_full Spectral analysis of seasonality in tourism demand
title_fullStr Spectral analysis of seasonality in tourism demand
title_full_unstemmed Spectral analysis of seasonality in tourism demand
title_short Spectral analysis of seasonality in tourism demand
title_sort spectral analysis of seasonality in tourism demand
topic periodogram
fast fourier transform
spectral analysis
tourism demand
url http://hdl.handle.net/20.500.11937/16166