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Motivation-based behaviour and latent class segmentation of cycling tourists

Author

Listed:
  • Francisco Rejón-Guardia
  • María Antonia García-Sastre
  • Margarita Alemany-Hormaeche

Abstract

This article focuses on the identification of the prime motivations for participation in sporting events, and segmentation by latent class analysis in order to identify the profile of cycling tourists with the aim of exploiting new market niches. To this end, data from a sample of 1281 participants in an annual one-day road race held in the Balearic Islands, Spain, were analysed. The findings confirm that familiarity and prestige-related motivations are the key to differentiating individuals in terms of spending, whereas sensory, physiological and security-related motivations distinguish very clearly the length of stay. Segmentation by latent class analysis reveals differences in the age variable, as cycling tourism is predominantly an activity undertaken by middle-aged and older males.

Suggested Citation

  • Francisco Rejón-Guardia & María Antonia García-Sastre & Margarita Alemany-Hormaeche, 2018. "Motivation-based behaviour and latent class segmentation of cycling tourists," Tourism Economics, , vol. 24(2), pages 204-217, March.
    • Handle: RePEc:sae:toueco:v:24:y:2018:i:2:p:204-217
    DOI: 10.1177/1354816617749349
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    1. Wayne S. DeSarbo & Kamel Jedidi & Indrajit Sinha, 2001. "Customer value analysis in a heterogeneous market," Strategic Management Journal, Wiley Blackwell, vol. 22(9), pages 845-857, September.
    2. Riccardo Scarpa & Mara Thiene & Tiziano Tempesta, 2007. "Latent class count models of total visitation demand: days out hiking in the eastern Alps," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 447-460, December.
    3. Alegre, Joaquín & Mateo, Sara & Pou, Llorenç, 2011. "A latent class approach to tourists’ length of stay," Tourism Management, Elsevier, vol. 32(3), pages 555-563.
    4. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    5. Gabriel Damant-Sirois & Michael Grimsrud & Ahmed El-Geneidy, 2014. "What’s your type: a multidimensional cyclist typology," Transportation, Springer, vol. 41(6), pages 1153-1169, November.
    6. Andrea Barquet & Juan Gabriel Brida & Linda Osti & Stefan Schubert, 2011. "An Analysis of Tourists' Expenditure on Winter Sports Events through the Tobit Censorate Model," Tourism Economics, , vol. 17(6), pages 1197-1217, December.
    7. Carlos Pestana Barros & Julio del Corral & Pedro Garcia-del-Barrio, 2008. "Identification of Segments of Soccer Clubs in the Spanish League First Division With a Latent Class Model," Journal of Sports Economics, , vol. 9(5), pages 451-469, October.
    8. Kwok Pan Pang, 2014. "Impact of Socio-Demographics, Fuel Price and Airfare on the Domestic Overnight Travel Decision in Australia," Tourism Economics, , vol. 20(6), pages 1297-1318, December.
    9. Yasushi Shoji & Takahiro Tsuge, 2015. "Heterogeneous Preferences for Winter Nature-Based Tours in Sub-Frigid Climate Zones: A Latent Class Approach," Tourism Economics, , vol. 21(2), pages 387-407, April.
    10. Antonio Alcover & Marga Alemany & Marta Jacob & Margarita Payeras & Antonia García & Lorena Martínez-Ribes, 2011. "The Economic Impact of Yacht Charter Tourism on the Balearic Economy," Tourism Economics, , vol. 17(3), pages 625-638, June.
    11. Motoaki, Yutaka & Daziano, Ricardo A., 2015. "A hybrid-choice latent-class model for the analysis of the effects of weather on cycling demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 217-230.
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    Cited by:

    1. Ferrucci Luca & Forlani Fabio & Picciotti Antonio, 2021. "Sports Consumption Behavior: Discovering Typologies of Amateur Cyclists," Polish Journal of Sport and Tourism, Sciendo, vol. 28(4), pages 26-31, December.
    2. Cai, Yangqian & Moreno, Ana Tsui, 2024. "Identifying non-universal heterogeneity of preferences of leisure cyclists for rural highway environments: A latent-class model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).
    3. Àngela Elisa Aguiló-Lemoine & Francisco Rejón-Guardia & María Antonia García-Sastre, 2020. "Congruence Effects on the Effectiveness of Sponsorship of Sport Event Websites: An Experimental Approach," Sustainability, MDPI, vol. 12(19), pages 1-17, October.

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