Market segments based on the dominant movement patterns of tourists

Tourism Management

Volumn 31, Issue 4, 2010, Pages 464-469

  Evans, Fiona H ^b   Spilsbury, Katrina ^c   Ciesielski, Vic ^d   Arrowsmith, Colin ^e  

^a Cecilia)   (Australia)

^b DEPARTMENT OF AGRICULTURE AND FOOD WESTERN AUSTRALIA   (Australia)

^c Faculty of Health Sciences   (Australia)

^d School of Computer Science and Information Technology   (Australia)

^e RMIT UNIVERSITY   (Australia)

Author keywords

Expectation Maximisation algorithm; Log linear models; Market segmentation; Movement pattern; Tourist

Indexed keywords

ALGORITHM; MARKET DEVELOPMENT; MOVEMENT; PATTERN RECOGNITION; TOURISM MANAGEMENT; TOURISM MARKET; TOURIST BEHAVIOR; TOURIST DESTINATION; TRAVEL BEHAVIOR;

AUSTRALIA; PHILLIP ISLAND; VICTORIA [AUSTRALIA];

EID: 77049103864     PISSN: None     EISSN: 02615177     Source Type: Journal    
DOI: 10.1016/j.tourman.2009.04.013     Document Type: Article

References (21)

1. Agresti A. Categorical data analysis (1990), Wiley, New York/Brisbane
2. Agresti A. Categorical data analysis. 2nd ed. (2002), Wiley-Interscience, New York
3. Akaike H. Information theory and an extension of the maximum likelihood principle. In: Kotz S., and Johnson N.L. (Eds). Breakthroughs in statistics. Foundations and basic Theory Vol. 1 (1973), Springer-Verlag, New York 199-213 1992. Originally published in the Proceedings of the International Symposium of Information Theory, 1973
4. Bigné J.E., and Andreu L. Emotions in segmentation: an empirical study. Annals of Tourism Research 31 3 (2004) 682-696
5. Chandra S., and Menezes D. Applications of multivariate analysis in international tourism research: the marketing strategy perspective of NTOs. Journal of Economic and Social Research 3 1 (2001) 77-98
6. Dempster A.K., and Laird N.M. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B 39 (1977) 1-38
7. Goodman L.A. The analysis of cross-classified data having ordered categories (1984), Mass Harvard University Press, Cambridge
8. Haley R.I. Benefit segmentation: a decision-oriented research tool. Journal of Marketing 32 3 (1968) 30-35
9. Jang S.C., Morrison A.M., and O'Leary J.T. Benefit segmentation of Japanese pleasure travelers to the USA and Canada: selecting target markets based on the profitability and risk of individual market segments. Tourism Management 23 4 (2001) 367-378
10. Kennedy J.J. Analyzing qualitative data: Log-linear analysis for behavioural research. 2nd ed. (1992), Praeger, New York
11. Kotler P., and Armstrong G. Principles of marketing. 10th ed. (2003), Prentice-Hall, Upper Saddle River, NJ
12. Lee G., Morrison A.M., and O'Leary J.T. The economic value portfolio matrix: a target market selection tool for destination marketing organizations. Tourism Management 27 4 (2006) 576-588
13. Linzer, D. A., & Lewis, J. 2007. poLCA: Polytomous variable latent class analysis. R package version 1.1. http://userwww.service.emory.edu/∼dlinzer/poLCA.
14. Myers J.H. Segmentation and positioning for strategic marketing decisions (1996), Chicago American Marketing Association
15. Mykletun R.J., Crotts J.C., and Mykletun A. Positioning an island destination in the peripheral area of the Baltics: a flexible approach to market segmentation. Tourism Management 22 5 (2001) 493-500
16. Phillip Island Internet Services. 2005. Welcome to Phillip Island. http://www.phillipisland.net.au/trip/firehouse/firehouse.html Retrieved 09.05.05.
17. Phillip Island Nature Park. 2005. How to get to Phillip Island. www.Penguins.org.au. Retrieved 01.05.05.
18. Vermunt J.K., and Magidson J. Latent class cluster analysis. In: Hagenaars J.A., and McCutcheon A.L. (Eds). Applied latent class analysis (2002), Cambridge University Press, Cambridge, UK 89-106
19. Wedel M., and Kamakura W.A. Market segmentation: Conceptual and methodological foundations (2000), Kluwer Academic Publishers, Norwell
20. Weinstein A. Handbook of market segmentation: Strategic targeting for business and technology firms. 3rd ed. (2004), The Haworth Press, New York
21. Witten I.H., and Frank E. Data mining: Practical machine learning tools and techniques with java implementations (2000), Morgan Kaufmann, San Francisco, CA