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This study examines how travel behaviour patterns change over time. It addresses the limitations of traditional segmentation studies, which often focus on static snapshots of travel behaviour. A comprehensive approach is proposed, integrating multi-dimensional segmentation and temporal analysis. Based on a large, repeated, crosssectional dataset (1983–2018) from Germany, the study employs a research design that combines fuzzy clustering, to identify distinct tourist types including their heterogeneous behaviour, and additive logistic regression analysis, to analyse temporal changes in travel behaviour patterns. The findings reveal five tourist types based on their travel behaviour. These tourist types differ in sociodemographic characteristics and are related to each other. The chance of belonging to those tourist types changes over a tourists' life cycle (age), over time due to external factors (period) and across generations (cohort), providing insights into evolving travel behaviour. The findings from this study can help tourism stakeholders to adapt their strategies to changing tourist behaviour and improve destination management and marketing efforts. [ABSTRACT FROM AUTHOR]

A better understanding of the complex destination choice process is highly relevant, both for academia and practice. Tourism research tends to focus either on actually executed or hypothetical destination choices. However, a discrepancy exists between these two types of destination choices which has hardly been investigated. Moreover, past research often studies tourists and their attitudes, needs or perceptions of destinations but not how destinations' attributes affect destination choices. To approach these two research gaps, this study concentrates not only on actual but also on hypothetical destination choices to better understand differences in the evaluation of alternative destinations. This study furthermore examines the role of the destination itself to discover the influence of destination characteristics on destination choices. Therefore, network analysis and set theory are combined in a new research approach which allows to analyse destination choices with varying closeness to reality whilst preserving destination information. The analysis is based on a quantitative survey of German tourists' travel decision-making behaviour. The results reveal changes in destination choices from multidimensional hypothetical choices to unidimensional actual and past choices. Furthermore, only few destinations have a consistent position whilst most destinations are either more relevant for hypothetical or actual destination choices. [ABSTRACT FROM AUTHOR]