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Analyzing tourists’ length of stay at destinations with survival models: A constructive critique based on a case study

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  • Thrane, Christer

Abstract

The statistical modeling of tourists’ length of stay at destinations is a topic that recently has received much attention from tourism scholars. In this regard, so-called “survival models” have been introduced as a means of studying how a set of independent variables explain variation in the number of days tourists spend at destinations. This paper provides a critical look at these studies. There are two main findings. (1) The various justifications offered for favoring the survival models over the traditional OLS regression do not hold up under closer scrutiny. (2) An empirical study shows that the OLS regression model describes the association between a set of independent variables and length of stay at least as effectively as a battery of survival models. In line with the principle of parsimony it is concluded that future studies on tourists’ length of stay should abandon survival models if they are conducted along similar lines as the ones to date.

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  • Thrane, Christer, 2012. "Analyzing tourists’ length of stay at destinations with survival models: A constructive critique based on a case study," Tourism Management, Elsevier, vol. 33(1), pages 126-132.
  • Handle: RePEc:eee:touman:v:33:y:2012:i:1:p:126-132
    DOI: 10.1016/j.tourman.2011.02.011
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    Cited by:

    1. Aguilar, Mª. Isabel & Díaz, Bárbara, 2019. "Length of stay of international tourists in Spain: A parametric survival analysis," Annals of Tourism Research, Elsevier, vol. 79(C).
    2. Juan Gabriel Brida & Marta Meleddu & Manuela Pulina, 2013. "Factors Influencing Length of Stay of Cultural Tourists," Tourism Economics, , vol. 19(6), pages 1273-1292, December.
    3. Aaron Gutiérrez & Daniel Miravet & Òscar Saladié & Salvador Anton Clavé, 2020. "High-speed rail, tourists’ destination choice and length of stay: A survival model analysis," Tourism Economics, , vol. 26(4), pages 578-597, June.
    4. 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.
    5. Christer Thrane, 2016. "Modelling tourists’ length of stay," Tourism Economics, , vol. 22(6), pages 1352-1366, December.
    6. Jorge V Pérez-Rodríguez & Francisco Ledesma-Rodríguez, 2021. "Unconditional quantile regression and tourism expenditure: The case of the Canary Islands," Tourism Economics, , vol. 27(4), pages 626-648, June.
    7. Andrea Pellegrini & Stefano Scagnolari, 2021. "The relationship between length of stay and land transportation mode in the tourism sector: A discrete–continuous framework applied to Swiss data," Tourism Economics, , vol. 27(1), pages 243-259, February.
    8. 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).
    9. Filipe B. Caires & Hugo Reis & Paulo M. M. Rodrigues, 2023. "Survival of the fittest: tourism exposure and firm survival," Applied Economics, Taylor & Francis Journals, vol. 55(60), pages 7150-7177, December.
    10. Gómez–Déniz, E. & Pérez–Rodríguez, J.V., 2019. "Modelling distribution of aggregate expenditure on tourism," Economic Modelling, Elsevier, vol. 78(C), pages 293-308.
    11. Glauber Eduardo de Oliveira Santos, 2016. "An efficient method for modelling tourists’ length of stay," Tourism Economics, , vol. 22(6), pages 1367-1379, December.
    12. Ashrafi Tannaz Alizadeh & Myrland Øystein, 2017. "Determinants of trip duration for international tourists in Norway; a parametric survival analysis," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 8(1), pages 75-86, May.
    13. Paz Rico Belda & Bernardí Cabrer-Borrás, 2021. "Size and survival of the hospitality industry: The case of Spain," Tourism Economics, , vol. 27(5), pages 933-951, August.
    14. Alén, Elisa & Nicolau, Juan Luis & Losada, Nieves & Domínguez, Trinidad, 2014. "Determinant factors of senior tourists’ length of stay," Annals of Tourism Research, Elsevier, vol. 49(C), pages 19-32.
    15. Antónia Correia & Jaime Serra & Andrés Artal-Tur, 2017. "Steady tourists’ relationship with a mature destination," Tourism Economics, , vol. 23(4), pages 803-815, June.
    16. Ferrer-Rosell, Berta & Martínez-Garcia, Esther & Coenders, Germà, 2014. "Package and no-frills air carriers as moderators of length of stay," Tourism Management, Elsevier, vol. 42(C), pages 114-122.
    17. Thrane, Christer, 2016. "Students' summer tourism: Determinants of length of stay (LOS)," Tourism Management, Elsevier, vol. 54(C), pages 178-184.
    18. Yang, Jingjing & Ryan, Chris & Zhang, Lingyun, 2013. "Ethnic minority tourism in China – Han perspectives of Tuva figures in a landscape," Tourism Management, Elsevier, vol. 36(C), pages 45-56.
    19. Gémar, Germán & Moniche, Laura & Morales, Antonio J., 2016. "Survival analysis of the Spanish hotel industry," Tourism Management, Elsevier, vol. 54(C), pages 428-438.
    20. Reza Mortazavi & Catia Cialani, 2017. "International tourists’ length of overnight stay in Venice," Tourism Economics, , vol. 23(4), pages 882-889, June.
    21. Ming Xu & Yan Jiao & Xiaoming Li & Qingfeng Cao & Xiaoyang Wang, 2015. "A Multi-Period Optimization Model for Service Providers Using Online Reservation Systems: An Application to Hotels," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-18, July.
    22. 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.
    23. Christer Thrane, 2015. "Research Note: The Determinants of Tourists' Length of Stay: Some Further Modelling Issues," Tourism Economics, , vol. 21(5), pages 1087-1093, October.

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