• Journal of Sport and Applied Science
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• v.2 no.1
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• pp.1-10
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• 2018

Today, the population of cycle participants is consistently increasing. Cycling is becoming not only a form of physical exercise but also a form of tourism in which cycle activities are related to visiting a particular destination. With the perspective of participation sport tourism, the purpose of this study is to investigate how the level of cycle tourists' participation affects their quality of life. An online survey link was sent to cycle participants to collect data. Out of the total 337 respondents, a total of 226 samples were used for the final analysis, disregarding those that were found to be inadequate or unreliable. For data analysis, frequency analysis, reliability test, validity, correlations, and regressions were employed with SPSS 22.0. For our first result, we found that the level of cycle participation did not significantly affect the quality of physical life. Second, the level of cycle participation did not have significant effect on the quality of mental life. Third, the level of cycle participation behavior did not have a significant effect on the quality of social life. Fourth, the level of cycle participation behavior did not have a significant effect on the quality of environmental life. Conclusions and political implications are discussed.

• Korean Business Review
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• v.11
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• pp.149-171
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• 1998

The most important thing in the Tourist Market Segmentation is to find descriptive variables which can describe the changes of tourist demand properly. There are many descriptive variables. Among them, vital statistical variables were proved to be effective. The strongest variable but which was studied much less is the Family Life Cycle. This study will focus on the relation between Family Life Cycle and Travel Behavior of Destination Choice. In this study, I will verify the validity of Family Life Cycle as a descriptive variable of Tourist Market Segmentation, and try to find the meaningful variable at each steps. Therefore, The purpose of this study is to explain the relation between Family Life Cycle and Travel Behavior of Destination Choice, to verify the validity of Family Life Cycle as descriptive variable and to find the strategy to respond to the increase in quantity and diversity of quality of Tourist Market. The studies on the Family Life Cycle should be updated continuously according to the change of family structure and it should be understood as standard for Tourist Market Segmentation in the public and private sphere.

• Journal of Sport and Applied Science
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• v.2 no.1
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• pp.25-38
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• 2018

One of the largest and fastest growing segments of the tourism industry, sport tourism refers to travel to play sports, watch sports, or to visit a sport attraction including both competitive and non-competitive activities. In this respect, cycling can be considered as not only a form of physical exercise but also a form of tourism in which cycling is a usual tourism-related activity, heading to a particular destination. The purpose of this study is to examine how demographical differences of cycle tourists are related to the quality of their life. An online survey was conducted and data was analyzed using frequency, reliability, and one - way ANOVA using SPSS 22.0. First, we found that there was no significant difference on the quality of physical life based on demographical characteristics. Second, the analysis of the relationship between demographical characteristics and the quality of mental life showed that income level affects their quality of mental life. Third, the analysis of the relationship between socio demographic characteristics and the quality of social life showed that marital status affects the quality of social life. Fourth, no statistically significant difference was found between the demographical characteristics and the quality of environmental life. Further implications were discussed.

• Journal of the Korean association of regional geographers
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• v.8 no.1
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• pp.20-39
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• 2002

The purpose of this study is to analyze the characteristics of a life cycle of a theme park through looking at Everland in Yongin, Korea. The life cycle of Everland is divided into four stages. In "initial development" stage(1976 - the mid-80's), Everland become inclined the characteristics of an amusement park by constructing the amusement facilities in the Flower Center(botanical garden). In "growth" stage(the mid-80's - the early 90's), Everland had full grown to the amusement park and inclined to a theme park. In "maturity" stage(the early 90's - the mid-90's), many visitors were not motivated to re-visit Everland because the facilities and events did not change often. Therefore, Everland makes plans for multiple theme park. In "rejuvenation" stage(after the mid-90's), Everland has practiced the plans for multiple theme park and has become the family and accommodating-oriented theme resort park. Since 1976 when Everland was opened, it has evolved from an amusement park to a theme park by creating various and continuous innovations in facilities and events.

• Journal of the Korean Geographical Society
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• v.35 no.3
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• pp.473-488
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• 2000

본 연구는 관광경기 침제현상으로 지역 전체가 몸살을 앍고 있는 수안보온천의 현재의 단계를 관광지 라이프사이클 모델에 근거하여 진단하고 이에 따른 활성화 방안을 제시하는데 목적이 있다. 수안보온천은 관광지 라이프사이클에 따르면 1998년 이래로 관광시장의 축소, 편의시설의 소명, 주말 및 당일 체류관광객의 증가 등의 관광지 쇠퇴단계의 지표가 나타나고 있다. 쇠퇴단계에 이른 수안보온천의 가장 큰 문제점은 관광 편의시설물의 노후화와 자본이 부족하다. 이러한 문제점을 해결할 수 있는 방안에는 다음 세가지가 있다. 첫째는 기존 시설물을 일부만 변경하며 노년층의 영구 거주지로 분양하는 것이다. 둘째는 방치괸 야외무대장을 주말 상설놀이마당으로 활용하고, 섯째는 수안보온천 관광호텔 자리에 있는 냉천을 약수로 개발하여 관광자원화하는 것이다.

• Journal of Global Scholars of Marketing Science
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• v.17 no.3
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• pp.1-19
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• 2007

1. Purpose Rural tourism is made by individuals with different characteristics, needs and wants. It is important to have information on the characteristics and preferences of the consumers of the different types of existing rural accommodation. The stud aims to identify the determinants of consumer preference by type of accommodations. 2. Methodology 2.1 Sample Data were collected from 1000 people by telephone survey with three-stage stratified random sampling in seven metropolitan areas in Korea. Respondents were chosen by sampling internal on telephone book published in 2006. We surveyed from four to ten-thirty 0'clock afternoon so as to systematic sampling considering respondents' life cycle. 2.2 Two-step cluster Analysis Our study is accomplished through the use of a two-step cluster method to classify the accommodation in a reduced number of groups, so that each group constitutes a type. This method had been suggested as appropriate in clustering large data sets with mixed attributes. The method is based on a distance measure that enables data with both continuous and categorical attributes to be clustered. This is derived from a probabilistic model in which the distance between two clusters in equivalent to the decrease in log-likelihood function as a result of merging. 2.3 Multinomial Logit Analysis The estimation of a Multionmial Logit model determines the characteristics of tourist who is most likely to opt for each type of accommodation. The Multinomial Logit model constitutes an appropriate framework to explore and explain choice process where the choice set consists of more than two alternatives. Due to its ease and quick estimation of parameters, the Multinomial Logit model has been used for many empirical studies of choice in tourism. 3. Findings The auto-clustering algorithm indicated that a five-cluster solution was the best model, because it minimized the BIC value and the change in them between adjacent numbers of clusters. The accommodation establishments can be classified into five types: Traditional House, Typical Farmhouse, Farmstay house for group Tour, Log Cabin for Family, and Log Cabin for Individuals. Group 1 (Traditional House) includes mainly the large accommodation establishments, i.e. those with ondoll style room providing meals and one shower room on family tourist, of original construction style house. Group 2 (Typical Farmhouse) encompasses accommodation establishments of Ondoll rooms and each bathroom providing meals. It includes, in other words, the tourist accommodations Known as "rural houses." Group 3 (Farmstay House for Group) has accommodation establishments of Ondoll rooms not providing meals and self cooking facilities, large room size over five persons. Group 4 (Log Cabin for Family) includes mainly the popular accommodation establishments, i.e. those with Ondoll style room with on shower room on family tourist, of western styled log house. While the accommodations in this group are not defined as regards type of construction, the group does include all the original Korean style construction, Finally, group 5 (Log Cabin for Individuals)includes those accommodations that are bedroom western styled wooden house with each bathroom. First Multinomial Logit model is estimated including all the explicative variables considered and taking accommodation group 2 as base alternative. The results show that the variables and the estimated values of the parameters for the model giving the probability of each of the five different types of accommodation available in rural tourism village in Korea, according to the socio-economic and trip related characteristics of the individuals. An initial observation of the analysis reveals that none of variables income, the number of journey, distance, and residential style of house is explicative in the choice of rural accommodation. The age and accompany variables are significant for accommodation establishment of group 1. The education and rural residential experience variables are significant for accommodation establishment of groups 4 and 5. The expenditure and marital status variables are significant for accommodation establishment of group 4. The gender and occupation variable are significant for accommodation establishment of group 3. The loyalty variable is significant for accommodation establishment of groups 3 and 4. The study indicates that significant differences exist among the individuals who choose each type of accommodation at a destination. From this investigation is evident that several profiles of tourists can be attracted by a rural destination according to the types of existing accommodations at this destination. Besides, the tourist profiles may be used as the basis for investment policy and promotion for each type of accommodation, making use in each case of the variables that indicate a greater likelihood of influencing the tourist choice of accommodation.