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Yearly, monthly and weekly seasonality of tourism demand: A decomposition analysis

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  • Rosselló, Jaume
  • Sansó, Andreu

Abstract

Annual seasonal variations in tourism demand have been a central theme in literature. However, annual seasonality is not the only time-based inequality in tourism flows that has important implications on policy-making decisions at destinations. Within the context of tourism, this study aims to make an in-depth analysis of intra-monthly and intra-weekly tourism demand using the entropy and relative redundancy measures as alternative seasonality indicators to the Gini coefficient in order to provide new tools to manage tourism and propose new action policies at these frequencies. In comparison with the Gini coefficient, the entropy measure is simpler to compute and it is easily decomposable. Using the case study of air arrivals and departures to and from the Balearic Islands, results show the appropriateness of entropy and relative redundancy as seasonal indicators but also as a new information tools for tourism seasonality analysis.

Suggested Citation

  • Rosselló, Jaume & Sansó, Andreu, 2017. "Yearly, monthly and weekly seasonality of tourism demand: A decomposition analysis," Tourism Management, Elsevier, vol. 60(C), pages 379-389.
    • Handle: RePEc:eee:touman:v:60:y:2017:i:c:p:379-389
    DOI: 10.1016/j.tourman.2016.12.019
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    3. Chandra, Aitichya & Verma, Ashish & Sooraj, K.P. & Padhi, Radhakant, 2023. "Modelling and assessment of the arrival and departure process at the terminal area: A case study of Chennai international airport," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
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    5. Alessandro V. M. Oliveira, 2024. "The seasonality of air ticket prices before and after the pandemic," Papers 2402.13789, arXiv.org.
    6. Boto-García, David & Pérez, Levi, 2023. "The effect of high-speed rail connectivity and accessibility on tourism seasonality," Journal of Transport Geography, Elsevier, vol. 107(C).
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