The Use of Markov Chains to Estimate Destination Switching and Market Share
Jeong-Gil Choi,
Jin-Won Mok and
Jin-Soo Han
Tourism Economics, 2011, vol. 17, issue 6, 1181-1196
Abstract:
The Markov chain model provides researchers and policy makers with a means to predict travellers' choices of destination. This study predicts international tourist flows among three Asian countries and the USA, and provides a path for gauging the switching patterns of tourists from one country to another. Destination loyalty (hard core component) and the future market share for 2009 and 2010 were estimated. The findings provide necessary information to many interest groups, including government policy makers, travel companies, airline companies and researchers.
Keywords: destination switching; forecasting; tourist flows; Markov analysis (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://journals.sagepub.com/doi/10.5367/te.2011.0091 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:17:y:2011:i:6:p:1181-1196
DOI: 10.5367/te.2011.0091
Access Statistics for this article
More articles in Tourism Economics
Bibliographic data for series maintained by SAGE Publications ().