Using Gini decomposition to explore the multidimensionality of spatial dispersal for tourism promotion – the case of outgoing passengers in Queensland, Australia
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Lohmann, Gui
Leung, Abraham
Santos, Glauber Eduardo de Oliveira
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Abstract
Visitor dispersal is critical in spreading tourism benefits to peripheral regions, with imbalances of visitors a problem for many tourism organisations that warrants better tools for analysis. Gini decomposition of the length of stay and expenditures was used to measure visitor dispersal based on survey data of international visitors (n = 819) departing from Brisbane International Airport. Biplot visualisation and stacked contribution bar charts revealed multiple dimensions of visitor traits influencing dispersal across eight subregions in Queensland and their complex offsetting or compounding dispersion/concentration effects. Our results suggest that including expenditure provides a more comprehensive understanding of dispersal, highlighting “high spend, short stay” visitors.
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Asia Pacific Journal of Tourism Research
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28
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3
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© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
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Tourism
Social Sciences
Hospitality, Leisure, Sport & Tourism
Social Sciences - Other Topics
Visitor dispersal
expenditure
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Zhu, X; Lohmann, G; Leung, A; Santos, GEDO, Using Gini decomposition to explore the multidimensionality of spatial dispersal for tourism promotion – the case of outgoing passengers in Queensland, Australia, Asia Pacific Journal of Tourism Research, 2023, 28 (3), pp. 157-176