B. Ferrer-Rosell, G. Coenders
Tourist spending behavior is not only relevant in terms of volume but also in terms of trip budget composition, or allocation (share or proportion of total trip budget allocated to transportation, accommodation or activities). This paper aims to contribute to the detection and understanding of expenditure patterns before, during, and after the economic crisis. The article segments incoming tourists by trip budget share using repeated cross-sections of official statistics data (2006-2012), k-means cluster analysis with multiple initial partitions and compositional data analysis methods. One of the segments is particularly attractive for destinations in terms of both total expenditure and expenditure profile, and has a high share for activity expenditure. Segments are heterogeneous in their cutting back on expenditure during the economic crisis, and those increasing in size during the crisis not only spend less but also have the lowest activity share.
Palabras clave: Cluster analysis, Trip budget share, Compositional data analysis (CODA), Economic crisis
Programado
M08.2 Grupo de Análisis Multivariante y Clasificación IV
6 de septiembre de 2016 15:20
0.09 - Aula de proyectos 2
