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Tourism Behaviour in Seoul

An Analysis of Tourism Activity Sequence using Multidimensional Sequence Alignments

Bibliographic Data

ID5762015
AuthorsHyuk-Jin Lee (Eulji University), Chang-Hyeon Joh, Chang‐hyeon Joh (0000-0001-5426-7905, Kyung Hee University)
Year2010
Volume12
Issue4
Pages487-504
Publication date2010-11-26
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueTourism Geographies (JOURNAL)
Journal identifiersISSN: 1461-6688 • E-ISSN: 1470-1340
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/14616688.2010.516399
OpenAlexW1964165894
LanguageEN
Citations received7
References cited18

The analysis of tourism behaviour as an outcome of individual decision making has recently been an emerging focus in tourism research. The conventional approach to the analysis of tourism behaviour typically associates a particular choice behaviour with some travel motivations or a priori selected socio-demographic characteristics. The results do not account for the underlying mechanism of the tourist's complex sequential decision making. This study aims to capture not only cross-sectional but also sequential and interdependent characteristics of tourism behaviour using a multidimensional sequence alignment method, which is applied to Japanese and English-speaking travellers' activity data collected in Seoul, Korea. The suggested method shows great potential for improved explanation of tourist behaviour at the individual level by revealing the sequential relationships between tourism activities and the interdependency between simultaneous decisions on activity type, location and transport mode. The implications for tourism market segmentation are shown to be paramount

Business · Geography · Interdependence · Market segmentation · Mode (computer interface · Sequence (biology · Sociology · Tourism · Computer Science · Consumer Behavior in Brand Consumption and Identification · Diverse Aspects of Tourism Research · Urban Transport and Accessibility · Marketing

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Unique citing works7
Citations per year0,64
Citation span2015 - 2025 (11)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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