Abstract
The purpose of this study was to identify travel career pattern of Suwon tourist by using a Latent Profile Analysis (LPA) and classify them based on measurements such as latent class characteristics and structure. Data from 1,000 tourists at main tourism destination in Suwon city were surveyed with person interview then analyzed. LPA identified three subgroups: (1) core motives oriented type with lowest motivation, (2) mid-layer motives oriented type with highest motivation, and (3) general type with relatively regular motivation. In order to examine the significant differences among three groups, cross-tabulation and ANOVA analysis was conducted. As a result, gender, age, number of travel times of Gyonggi do, the purpose of visit, intention to recommend, and intention to revisit, and tourism satisfaction were found to be significant differences of three groups whereas number of travel times of Suwon and aborad did not. In conclusion, our findings suggest that LPA can be an effective tool for identifying subgroups of individuals who have engaged in particular sets of tourism activities with multiple motivation dimensions.
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