The purpose of this study is to examine the structural relationship among the destination attractiveness, perceived value and loyalty of Japanese tourists. In this study, 2 hypotheses based on literature reviews were employed. Questionnaire was also developed based on the previous study. Data were collected from Japanese tourists. Then the data and hypotheses were examined using structural equation modeling(SEM) by AMOS. The results are as follows. Firstly, 'nature culture' factor has no effect on tourist perceived value. Secondly, 'convenience' and 'access' factor have positive effects on both functional value and symbolic value. Moreover, these factors have stronger effects on functional value. Lastly, tourist's functional value has a positive effect on loyalty while symbolic value has no effect on loyalty. The contribution and limitations of this research were discussed and the future possible researches were mentioned.
In this study of tourism destination brand equity and self-consistent interstellar significant attachment relationships and brand equity and behavioral intention was to determine the effect on the relationship. First, the tourism destination brand equity of the self-consistent sex tourists will have a significant impact is to test the hypothesis of a multiple regression analysis was conducted brand equity, loyalty, self image and gender matched only indicates the relationship was significant. Second, self Correspondence tourist destination tourists will have a significant effect on attachment. In order to verify the hypothesis that the multiple regression analysis was conducted for self-Correspondence attachment was significantly related shows. Third, the attachment of tourist destinations for travelers of action also will have a significant impact on. Hypotheses multiple regression analysis was conducted to attachment behavior also shows significant relationship was about.
Journal of the Korean Institute of Landscape Architecture
/
v.45
no.6
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pp.76-89
/
2017
Tourism is being used as a tool to regenerate declining spaces. Therefore, the government is carrying out various projects to create tourist attractions to revitalize the traditional marketplace, which is declining nationwide. Because of these government-led projects, traditional marketplaces have been transformed into tourist attractions, and some markets have received enough positive feedback that they have been successfully revitalized economically. However, as marketplaces have become tourist destinations, negative views about government support projects are also increasing. This also leads to conflicts due to differences in perception and interests of stakeholders. This paper examines the process of the marketplace becoming a tourist destination focused on the Tongin Market, in Seoul which has been regenerated as a tourist attraction through a government support project. The purpose of this study is, first, to examine the background of tourist markets becoming tourist attractions and the issues surrounding them. The second was to explore in depth the types of conflict perceptions of visitors, residents and tourists, and the perception of their responses. As a research method, the process of the revitalization of traditional markets through news and existing literature, issues and the difference of perceptions about tourist-centric traditional marketplaces were examined. In addition, the Q methodology was used, which is a qualitative research methodology that can measure the difference of viewpoints and perceptions of specific events in order to analyze the difference of perception among visitors in traditional marketplaces. The results of the study show that there are three main perspectives of difference among visitors' perceptions about government support projects in traditional marketplaces and the marketplace becoming a tourist attraction. The 'policy dependent perspective' emphasizes the necessity of government regulations, a 'critical perspective' criticizes the government's traditional marketplace support policy, and the 'neutral perspective' acknowledges the need for government-led projects and accentuating the internal competitiveness of the marketplace. The study provided the environment for academic discussion about traditional marketplaces, which are becoming tourist attractions nationwide. In addition, this paper can contribute to providing implications for future government projects by analyzing the perception of marketplace visitors.
Ecotourism has been considered as sustainable tourism since it has been believed to preserve the environment of a tourist destination as well as to satisfy the various needs of tourists. However, most of destinations recently developed for ecotourism have confronted environmental degradation. Therefore, it is necessary to challenge and reestablish the concept of ecotourism. This study seeks to provide new perspectives on the concept of ecotourism by estimating the sustainability of three ecotourism destinations in Jeju Island. The Yae-Rae Dong Ecotourism Village shows a high level of sustainability, while the Ah-Bu Oh-rum at Song-Dang Ri and the Experience Beach at Jong-Dal Ri shows a low level of sustainability. In result, the ecotourism in itself is not sustainable tourism, and further this study suggests that appropriate planning, development, and management of a destination are important factors to decide the success of sustainable tourism.
This paper shows light on the concept of smart tourism destination as a future of tourism development, especially in the context of problems associated with developing countries. This study substantiates the case of smart tourism development in mountain destinations as an affordable and needed future of the contemporary era. This conceptual study is based on secondary literature on Smart Cities, Smart Tourism Destinations, and Tourism in Himachal Pradesh. The Indian state of Himachal Pradesh has been considered as a study area to acknowledge major tourism-related challenges, especially in mountain locations. Consequently, the dots are connected between existing challenges and solutions that smart tourism holds. It turns out that for the development of mountain tourism destinations such as Himachal Pradesh in the Indian Himalayas, investments in smart infrastructure are required. By developing smart infrastructure, a new USP can be made, a supportive environment for new local businesses, new employment opportunities, enhanced tourist experience and an overall raised standard of living for locals. Considering all factors, it leads to a highly competitive tourism destination. All tourism destinations located in the Himalayan mountains show somewhat the same tourism challenges as Himachal Pradesh, India. Therefore, this paper brightens the path of destination planners towards the development agenda of smart tourism destinations and shows how smart tourism infrastructure can be deployed for better management of tourism destinations.
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.
Journal of Agricultural Extension & Community Development
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v.19
no.2
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pp.301-320
/
2012
The study uses a seasonal ARIMA model to forecast the number of tourists of Yeongdeok in an uni-variable time series. The monthly data for time series were collected ranging from 2006 to 2011 with some variation between on-season and off-season tourists in Yeongdeok county. A total of 72 observations were used for data analysis. The forecast multiplicative seasonal ARIMA(1,0,0)$(0,1,1)_{12}$ model was found the most appropriate one. Results showed that the number of tourists was 10,974 thousands in 2012 and 13,465 thousands in 2013, It was suggested that the grasping forecast model is very important in respect of how experts in tourism development in Yeongdeok county, policy makers or planners would establish strategies to allocate service in Yeongdeok tourist destination and provide tourism facilities efficiently.
The competitiveness of a country or a city plays an important role as a determining factor in this age of globalization In view of tourism studies, the potential for a region to develop depends primarily on its ability to use and maintain economic advantages in its provision of tourist products and services. In spite of the importance of competitiveness in tourism studies, few researches have been done on competitiveness in Korea The purpose of this study is, therefore, to conduct a comparative analysis of competitiveness between coastal metropolitan cities in Korea-Busan, Ulsan and Incheon- developing tourism index and finding out urban competitiveness. The findings of this study will contribute to enhancing tourism promotion and mutual network with other cities and attracting domestic and international tourists.
The Journal of the Korea institute of electronic communication sciences
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v.8
no.8
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pp.1171-1177
/
2013
Since existing location-based services suggest a search result, not considering user's environment, intention, or preference, situational awareness is required to resolve this problem. In this paper, an Android-based situational-awareness dynamic scheduling will be suggested and a tourist information service application will be embodied and tested. In other words, a real-time tourist scheduling service that calculates an estimated travel time from user's location to destination and reminds a user before the expected departure time will be developed. In addition to tourist information, an added scheduler provides convenience and improves its functionality.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
/
2021.05a
/
pp.392-394
/
2021
This paper is a thesis on an automatic restaurant recommendation application for tourists traveling to travel destinations. when you run the application at any travel destination in KOREA, it is an application that recommends desired services such as Korean, Chinese, Western, etc, regardless of the type of food, so that restaurant rankings are poured out in tourist destinations. not only recommending restaurants, but also collecting related information DB so that you can easily find restaurants in tourist destinations through reviews and stars such as hygiene conditions, prices, and compliance with quarantine regulations due to the recent coronavirus. the application was developed
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