Analyzing international travelers' profile with self-organizing maps

Li, Gang, Law, Rob and Wang, Jinlong 2010, Analyzing international travelers' profile with self-organizing maps, Journal of travel & tourism marketing, vol. 27, no. 2, pp. 113-131, doi: 10.1080/10548400903579647.

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Title Analyzing international travelers' profile with self-organizing maps
Author(s) Li, GangORCID iD for Li, Gang
Law, Rob
Wang, Jinlong
Journal name Journal of travel & tourism marketing
Volume number 27
Issue number 2
Start page 113
End page 131
Total pages 19
Publisher Routledge Taylor & Francis Group
Place of publication Philadelphia, Pa.
Publication date 2010-03
ISSN 1054-8408
Keyword(s) data mining
market segmentation
activity pattern analysis
Hong Kong
Summary It is generally agreed that knowledge is the most valuable asset to an organization. Knowledge enables a business to effectively compete with its competitors. In the tourism context, an in-depth knowledge of the profile of international travelers to a destination has become a crucial factor for decision makers to formulate their business strategies and better serve their customers. In this research, a self-organizing map (SOM) network was used for segmenting international travelers to Hong Kong, a major travel destination in Asia. An association rules discovery algorithm is then utilized to automatically characterize the profile of each segment. The resulting maps serve as a visual analysis tool for tourism managers to better understand the characteristics, motivations, and behaviors of international travelers.
Language eng
DOI 10.1080/10548400903579647
Field of Research 150604 Tourism Marketing
Socio Economic Objective 900301 Economic Issues in Tourism
HERDC Research category C1 Refereed article in a scholarly journal
HERDC collection year 2010
Copyright notice ©2010, Taylor & Francis
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Document type: Journal Article
Collection: School of Information Technology
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