Author, as appears in the article.: Bassols Gardella, Narcis; Ovalle Diaz, Andrea Paola; Rodriguez Hernandez, Jenniffer Carolina;

Department: Geografia

URV's Author/s: Bassols Gardella, Narcís

Keywords: Blogs Chaid algorithm Customer segmentation Decision-taking methods Evolution Image Online comments Online reviews Tourist behavior Travel agents

Abstract: In recent years, different tools and frameworks have been proposed to explain the preferences of tourists when choosing accommodation in a destination so as to understand the elements that most influence this decision. This article contributes to this line of research by analyzing tourist preferences in the cities of Santa Marta and Cartagena de Indias, the two most prominent destinations on the Colombian Caribbean coast. More precisely, it researches how the destinations' attributes (tourist attractions, location, activities offered, beaches.) combined with the hotels' features (services offered, location, price, category.) influence online comments. Both destinations are examined with the CHAID decision tree model, a tool often used in engineering but much less applied in hospitality management - although it is a highly useful one. The data collected for this research are drawn from the comments users uploaded to the platform booking.com and the results help to better characterize the two destinations and their visitors. While some of the trends observed are known to the professional community in both destinations, other latent trends are not. On a more practical note, the authors seek to prove the usefulness of big data tools in supporting decision-taking processes, particularly those depending on the knowledge of customer preferences.

Thematic Areas: Administração pública e de empresas, ciências contábeis e turismo Ciencias sociales Economia Engenharias iii Geografía Hospitality, leisure, sport & tourism Interdisciplinar Revistas de ciencias economicas y empresariales Social sciences (miscellaneous) Sociología Tourism, leisure and hospitality management

licence for use: https://creativecommons.org/licenses/by/3.0/es/

Author's mail: narcis.bassols@estudiants.urv.cat

Record's date: 2021-11-28

Papper version: info:eu-repo/semantics/acceptedVersion

Link to the original source: https://www.researchgate.net/publication/335421354_Tourism_Management_Discovering_the_tourists'_behaviors_and_perceptions_in_a_tourism_destination_by_analyzing_photos'_visual_content_with_a_computer_deep_learning_model_The_case_of_Beijing

Papper original source: Investigaciones Turísticas. (22): 121-147

APA: Bassols Gardella, Narcis; Ovalle Diaz, Andrea Paola; Rodriguez Hernandez, Jenniffer Carolina; (2021). Tourist preferences in hotels and destinations: an approach based on content analysis and decision trees. Investigaciones Turísticas, (22), 121-147. DOI: 10.14198/INTURI2021.22.6

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Article's DOI: 10.14198/INTURI2021.22.6

Entity: Universitat Rovira i Virgili

Journal publication year: 2021

Publication Type: Journal Publications