The use of Markov chains to estimate destination switching and market share
Authors: Choi, Jeong-Gil; Mok, Jin-Won; Han, Jin-Soo
Source: Tourism Economics, Volume 17, Number 6, December 2011 , pp. 1181-1196(16)
Publisher: IP Publishing Ltd
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
Document Type: Research article
DOI: http://dx.doi.org/10.5367/te.2011.0091
Publication date: 2011-12-01
Tourism Economics, published bimonthly, is a peer-reviewed journal devoted to the economics and finance of tourism worldwide. Articles address the components of the tourism product (accommodation; restaurants; merchandizing; attractions; transport; entertainment; tourist activities); and the economic organization of tourism at micro and macro levels (market structure; role of public/private sectors; community interests; strategic planning; marketing; finance; economic development).
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