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Expenditure-based segmentation of tourists taking into account unobserved heterogeneity: The case of Venice
Dalarna University, School of Technology and Business Studies, Economics. (Mikrodataanalys)ORCID iD: 0000-0001-8599-7185
2019 (English)In: Tourism Economics, ISSN 1354-8166, E-ISSN 2044-0375Article in journal (Refereed) Epub ahead of print
Abstract [en]

Visitors to big tourist cities are very likely heterogeneous and can be classified into different segments, for example, low and high spenders. Previous studies on visitor expenditure-based segmentation seem to have only taken into account observed heterogeneity, usually segmenting tourists based on observed characteristics. In the present study, however, the visitors to Venice, Italy, are segmented with respect to their spending into different groups based on both observed and unobserved heterogeneity using a finite mixture model. The results indicate that the visitors belong to three latent classes with respect to their expenditure. Interestingly, different variables affect expenditure differently depending on the latent class belonging. The overall conclusion is that segmenting tourists into different classes based on unobserved heterogeneity with respect to their spending is preferable and more informative than treating the visitors as one homogeneous group. The approach is also more useful for different types of policymaking.

Place, publisher, year, edition, pages
2019.
Keywords [en]
expenditure-based segmentation, finite mixture model, latent classes, unobserved heterogeneity, visitor expenditure
National Category
Economics and Business
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-29892DOI: 10.1177/1354816619841713Scopus ID: 2-s2.0-85064614171OAI: oai:DiVA.org:du-29892DiVA, id: diva2:1305065
Available from: 2019-04-15 Created: 2019-04-15 Last updated: 2019-05-06Bibliographically approved

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Mortazavi, Reza

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  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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