Journal of Travel Research

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to learn more!

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
0047287507308318v1
46/3/339    most recent
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Pan, S.
Right arrow Articles by Song, H.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
This version was published on February 1, 2008
Journal of Travel Research, Vol. 46, No. 3, 339-348 (2008)
DOI: 10.1177/0047287507308318

Visualizing Tourism Trends: A Combination of ATLAS.ti and BiPlot

Steve Pan

Tunghai University, Taiwan

Kaye Chon

Hong Kong Polytechnic University

Haiyan Song

Hong Kong Polytechnic University

By analyzing 766 articles from travel trade magazines published in 2005, this article aims to identify tourism trends in the Asia—Pacific region. The qualitative analysis sketches a holistic conceptual network of relationships among trends, whereas the quantitative analysis visually presents the trends' commonalities or differences among four subregions (Northeast Asia, Southeast Asia, South Asia, and Oceania). This article differs from previous studies in that it counts the frequencies of quotations associated with codes rather than the commonly used keywords. Quotations are composed of sentences and paragraphs that provide a deeper and richer understanding of the context. And as the title implies, it visualizes the relationships among trends and between trends and sub-regions. Through visualizing the qualitative data holistically and individually, this approach is intended to "see the forest for the trees."

Key Words: tourism trends • ATLAS.ti • BiPlot • correspondence analysis


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?