Analyzing Changing Preferences for Pleasure Travel With Cohort Analysis
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Lori Pennington-Gray [1] ; Richard A. Spreng [2]
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[1] University of Florida
University of Florida
Estados Unidos
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[2] Michigan State University
Michigan State University
City of East Lansing, Estados Unidos
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- Localización: Tourism analysis, ISSN 1083-5423, Vol. 6, Nº. 2, 2001, págs. 109-121
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
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Resumen
This study was designed to perform a cohort analysis of travel preferences. Data from two Canadian studies were used to examine the effects of age, cohort, and time period effects on travel preferences of Canadians. The results indicated that five of the nine travel preference variables were statistically significant. The adjusted R2s for each of the models were examined and the model with the highest adjusted R2 was chosen as the best model. The period model was the best predictor for “the importance of shopping” in pleasure travel. The age-period model explained the importance of “high quality restaurants” preference better than any other model. The age-generation model explained the importance of “national/provincial” parks more than any other model. The period-generation model explained the most variation in responses to the importance of “first-class accommodations.” Finally, the age-period-generation model fit the data for the importance of “museums and art galleries” the best. Results showed that the best fitting model was different for each of the travel preference variables. Implications include that the effects of age, cohort, and period have varied effects on preference and are therefore not easily predicted. Recommendations for future studies include developing a set of “core” questions to be used over time at the national or state level, striving to collect panel data, and trying to develop variables that are more generational in nature.
