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Length of stay: Evidence from Santiago de Compostela

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  • Rodríguez, Xosé A.
  • Martínez-Roget, Fidel
  • González-Murias, Pilar

Abstract

This paper analyses the determinants of length of stay, but does so taking into account whether the visitor is a tourist or a same-day visitor. Our empirical analysis focuses on Santiago de Compostela, a small tourist city in north-western Spain. We have conducted our analysis using five alternative Heckman selection models. This methodology allows us to distinguish between tourists and same-day visitors. The results allow for the identification of different visitor profiles. In this context, same-day visitors are typically young or retired individuals who travel for leisure reasons, whilst foreign visitors travelling for business or congress purposes are the most likely to have longer stays. In the light of these results, policy implications are then discussed.

Suggested Citation

  • Rodríguez, Xosé A. & Martínez-Roget, Fidel & González-Murias, Pilar, 2018. "Length of stay: Evidence from Santiago de Compostela," Annals of Tourism Research, Elsevier, vol. 68(C), pages 9-19.
    • Handle: RePEc:eee:anture:v:68:y:2018:i:c:p:9-19
    DOI: 10.1016/j.annals.2017.11.001
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    Cited by:

    1. Kevin Blattler & Hannes Wallimann & Widar von Arx, 2024. "Free public transport to the destination: A causal analysis of tourists' travel mode choice," Papers 2401.14945, arXiv.org, revised Feb 2024.
    2. Gómez-Déniz, E. & Pérez-Rodríguez, J.V., 2019. "Modelling bimodality of length of tourist stay," Annals of Tourism Research, Elsevier, vol. 75(C), pages 131-151.
    3. Jackman, Mahalia & Lorde, Troy & Naitram, Simon & Greenaway, Tori, 2020. "Distance matters: the impact of physical and relative distance on pleasure tourists' length of stay in Barbados," Annals of Tourism Research, Elsevier, vol. 80(C).
    4. Francesco Scotti & Andrea Flori & Piercesare Secchi & Marika Arena & Giovanni Azzone, 2024. "Heterogeneous drivers of overnight and same-day visits," Papers 2402.05679, arXiv.org.
    5. Deely, John & Hynes, Stephen & Cawley, Mary & Hogan, Sarah, 2023. "Modelling domestic marine and coastal tourism demand using logit and travel cost count models," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 123-136.

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