This study aims to analyze the different segments of urban tourism demand. The data were collected in Mexico City, Lima, Buenos Aires, and Bogota, and a K-means clustering method was used to find the segments. The results showed three segments: the first cluster grouped tourists interested in enjoying lodging and restaurant services; the second included visitors seeking multiple attractions, who were the most willing to recommend the destinations; finally, the third was composed of passive tourists, not drawn to the attractions of these cities. This study contributes to the literature by offering evidence of urban tourism segmentation in Latin American cities, which has been scarcely researched. Furthermore, it sheds light on this topic by finding a segment not previously described in the literature ("multiple attractions"). Finally, this study offers practical implications for managers of tourism companies to plan and improve the competitiveness of destinations based on the different segments found.
Copyright: © 2023 Carvache-Franco et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.