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Predictors of the Success of Yacht Charter in Andalusia from a Leading P2P Platform Using Machine Learning

In: Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability

Author

Listed:
  • Amor Jiménez-Jiménez

    (Universidad de Huelva)

  • Pilar Sancha

    (Universidad de Huelva)

  • Juan Manuel Martín-Álvarez

    (Universidad Internacional de la Rioja (UNIR))

  • Ana Gessa

    (Universidad de Huelva)

Abstract

Research related to the sharing economy in yacht charter is scarce compared to other tourism services such as accommodation, so more contributions are needed. Yacht rental has become essential in the tourist services of coastal destinations, providing important benefits. The vertiginous growth of the boat rental offer hosted on p2p platforms requires analysis, characterization, and search for product patterns that allow a better knowledge of it. The data obtained, based on machine learning techniques, can be used as predictors to detect which products are suitable for the growth and development of the sector in each Andalusian marina. The results provide a relevant contribution to the sector and the enrichment of the literature.

Suggested Citation

  • Amor Jiménez-Jiménez & Pilar Sancha & Juan Manuel Martín-Álvarez & Ana Gessa, 2024. "Predictors of the Success of Yacht Charter in Andalusia from a Leading P2P Platform Using Machine Learning," Springer Proceedings in Business and Economics, in: Antonio J. Guevara Plaza & Alfonso Cerezo Medina & Enrique Navarro Jurado (ed.), Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability, pages 169-180, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-52607-7_16
    DOI: 10.1007/978-3-031-52607-7_16
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