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

  1. Amor Jiménez-Jiménez
  2. Pilar Sancha
  3. Juan Manuel Martín-Álvarez
  4. Ana Gessa
Liburua:
Tourism and ICTs: Advances in Data Science, Artificial Intelligence and Sustainability
  1. Antonio J. Guevara Plaza (ed. lit.)
  2. Alfonso Cerezo Medina (ed. lit.)
  3. Enrique Navarro Jurado (ed. lit.)

Argitaletxea: Springer Suiza

ISBN: 978-3-031-52607-7,  978-3-031-52606-0

Argitalpen urtea: 2024

Orrialdeak: 169-180

Biltzarra: TuriTec: Congreso Nacional Turismo y Tecnologías de la Información y las Comunicaciones (14. 2023. Málaga)

Mota: Biltzar ekarpena

DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Laburpena

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 desti-nations, 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.

Datuen iturria: Dialnet