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Understanding Destination Choices of German Travelers

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Abstract:

Based on a literature review, this article proposes and subsequently tests 19 hypotheses about what affects destination choices. This is followed by an analysis of a set of data about long journeys undertaken by German travelers. The hypotheses are tested using three different methods, namely simple t-tests, multiple linear regression, and binomial logistic regression. Duration of stay, temperature difference, a coastline at the destination, mode of transport, travel distance, relative prices, travel party size, origin region, and number of destinations visited were the most significant determinants. Based on t-values from a series of multiple regression analysis, the three most significant characteristics are identified for each of the 25 most frequently visited destinations by German travelers.

Keywords: DESTINATION CHOICE; LOGISTIC REGRESSION; MULTIPLE REGRESSION; PROBABILITIES OF VISITATION; TEMPERATURE DIFFERENCES

Document Type: Research Article

DOI: http://dx.doi.org/10.3727/108354211X13228713394642

Publication date: December 1, 2011

More about this publication?
  • The aim of Tourism Analysis is to promote a forum for practitioners and academicians in the fields of Leisure, Recreation, Tourism, and Hospitality (LRTH). As a interdisciplinary journal, it is an appropriate outlet for articles, research notes, and computer software packages designed to be of interest, concern, and of applied value to its audience of professionals, scholars, and students of LRTH programs the world over.
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