Access the full text.
Sign up today, get DeepDyve free for 14 days.
This study attempts to segment the Swiss travel market based on holiday activities. It is based on data of the 2001 travel market in Switzerland. Cluster and discriminant analysis have been employed in order to segment the data and to explain the differences between the clusters. Hereby, five activityclusters could be defined, each representing a set of holiday activities most likely to be exercised. The analysis of the five clusters revealed that two demographic profile variables occupation and size of household did explain the affiliation to a certain cluster. The same could be found for the following travel profile variables destination and duration of the trip, total number of participants from a household and type of trip. Further research will be necessary to find out if the clusters identified really do fulfil the needed criteria for market segments in order to be used by companies in the travel industry.
Tourism Review – Emerald Publishing
Published: Apr 1, 2002
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.