• Korean journal of food and cookery science
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• v.19 no.3
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• pp.308-317
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• 2003

The purpose of this study was to identify combinations of factors, with regard to the use of restaurants by tourists, and to establish the relative importance of these factors in terms of their contribution to the total usage. Of 250 questionnaires, 209 were utilized for analysis in this study. Crosstabs, conjoint analysis, paired-samples t-test, k-means cluster analysis, one-way ANOVA analysis, and the Friedman test were used for the statistical analysis. The findings from this study were as follows: First, the Pearson's R and Kendall's tau statistics show that the model fits the data well. Second, it was found that 209 tourists most preferred restaurants that provided excellent quality traditional food, with a high quality of service, at a cheap price for the suburb. The 81 tourists of the first cluster most preferred restaurant that provided excellent quality fusion food, at a cheap price for the suburb. The 65 tourists of tile second cluster most preferred restaurant that provided average quality national food, at an expensive price for the suburb. The 63 tourists of the third cluster most preferred restaurant that provided excellent quality traditional food, at a reasonable price for the suburb. Third, it wis found that all tourists and the three clusters groups regarded both the type of food and its price to be very important factors. Finally, the results used in this study have provided some insight into the types of marketing strategies and tourism policies that may be successfully used by the operators and policymakers managing a location, the quality, price and type of food, and quality of service required by tourists dining at restaurants.

• Knowledge Management Research
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• v.23 no.2
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• pp.277-299
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• 2022

The massive card transaction data generated in the tourism industry has become an important resource that implies tourist consumption behaviors and patterns. Based on the transaction data, developing a smart service system becomes one of major goals in both tourism businesses and knowledge management system developer communities. However, the lack of rating scores, which is the basis of traditional recommendation techniques, makes it hard for system designers to evaluate a learning process. In addition, other auxiliary factors such as temporal, spatial, and demographic information are needed to increase the performance of a recommendation system; but, gathering those are not easy in the card transaction context. In this paper, we introduce CTDDTR, a novel approach using card transaction data to recommend tourism services. It consists of two main components: i) Temporal preference Embedding (TE) represents tourist groups and services into vectors through Doc2Vec. And ii) Deep tourism Recommendation (DR) integrates the vectors and the auxiliary factors from a tourism RDF (resource description framework) through MLP (multi-layer perceptron) to provide services to tourist groups. In addition, we adopt RFM analysis from the field of knowledge management to generate explicit feedback (i.e., rating scores) used in the DR part. To evaluate CTDDTR, the card transactions data that happened over eight years on Jeju island is used. Experimental results demonstrate that the proposed method is more positive in effectiveness and efficacies.

• Journal of Korean Society of Rural Planning
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• v.22 no.2
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• pp.141-152
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• 2016

The role of rural towns as a leisure space has recently been increasing with changes in the consumption trends in domestic tourism. Based on the tourists visiting the town of Sunheul-ri, Jocheon-eup, a rural Village in Jeju Island, this study categorized the market according to the images formed by the tourists of rural towns, and analyzed the preferred mode of participation in rural field activities for each category. We analyzed the characteristic factors of the images of rural tourism formed by the tourists, extracted three factors for cluster analysis, and then formed three groups: "Group of Rural Experience Activity" "Group of Rural Environment and Service" and "Group of Rest in the Rural" After analyzing the preferred activity in each image-category group, we found no significant differences among the groups in ordinary activities such as viewing the scenery, experiencing and learning about the natural environment, and culinary experiences. However, there were significant differences among the groups regarding participation in experiential tour programs with the purpose of active tourism. The "Group of Rural Experience Activity" sought to actively participate in various activity programs, whereas the "Group of Rest in the Rural" comparatively had a weaker preference for such active programs. We thus learnt that tourists' preferred activities are different according to the types of images formed by the tourists visiting rural towns. Therefore, to strengthen the competitive advantage of the rural tourist destinations of Jeju Island, it is necessary to provide various activity programs that are appropriate for the rural regions of Jeju and to accord with the expectations associated with each market segment category by positioning the programs according to the characteristics of the images held by the tourists.

• Journal of Navigation and Port Research
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• v.44 no.1
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• pp.10-19
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• 2020

Port Gyeongin was developed as a multi-functional port equipped with container and general port facilities and could be linked with nearby tourist attractions. However, it has experienced difficulties from the limitation of being a small port, duplicating functions, and lacking an interlink with nearby ports. Nonetheless, resident companies that need logistics facilities in Port Gyeongin or nearby ports process specific import and export goods such as wood, steel, and industrial products through Port Gyeongin because of the characteristics of the port. From this perspective, it is critical to establish a measure to promote Port Gyeongin through utility analysis of the stakeholders in Port Gyeongin. In this regard, the purpose of this study was to analyze the preference of stakeholders in Port Gyeongin using conjoint analysis and propose a difference in the preference of the stakeholders. Study results show that the terminal group, shippers, and tenant companies considered the berthing capacity, incentive scale, and port logistics cost as the most critical matters, respectively. The stakeholders in Port Gyeongin should recognize the difference in critical matters, and be equipped with shipper discovery and institutional arrangement according to the characteristics of Port Gyeongin such as cooperation with related institutions and inter-collaboration between operating companies to promote Port Gyeongin.

• Journal of the East Asian Society of Dietary Life
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• v.16 no.3
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• pp.242-250
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• 2006

The purpose of this study was to identify tourist product factor combinations which confer the highest utility to tourists and to establish the relative importance of factors in terms of their contribution to total utility across gender. Among 250 questionnaires, 230 questionnaires were utilized for the analysis. $X^2$ analysis, Conjoint model, Max. Utility model, BTL model, Logit model, K-means cluster analysis, and one-way anova analysis were used for this study. The findings from this study were as follows. First, the Pearson's R and Kendall's tau statistics showed that the model fitted the data well across gender. Second, it was found that total respondents and three clusters regarded taste price as the very important factor across gender. Third, it was found that the male and female tourists most preferred product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. Fourth, it was found that the male tourists most preferred simulation product with light red color, shaped package, and highly pungent taste sold at a cheap price in factory. The female tourists most preferred simulation product with light red color, shaped package, and mild taste sold at a cheap price in factory. Finally, the results of the study provide some insights into the types of effective product designs that can be successfully developed by marketers.

• Journal of Navigation and Port Research
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• v.33 no.10
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• pp.771-776
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• 2009

The Ministry for Food, Agriculture, Forestry and Fisheries has been designating as Fishery village from 2001 to revitalize economy of fishery villages. But a few of the Fishery villages have been operated as general visiting tourist places or decreased the number of the tourists. In this study, a survey about some status of usage and satisfaction level with Fishery village, the preference for fishery village stay programs was conducted at 21 villages designated in Young-nam area. As a result, three revitalization plans were suggested to improve the fishery village stay program and to promote economic growth of the fishery villages.

• Journal of the Korean Society of Food Culture
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• v.14 no.1
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• pp.57-65
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• 1999

This study was examined the current situation of utilization of meat broth materials for the development of various broth products. The 500 housewives living in Seoul were asked. The results obtained as follows; Beef(93%) was used most frequently for making broth. In order to reduce rancid smell of broth, garlic(72%), ginger(68%), green onion(60%), onion(58%), black pepper(44%), radish(25%) were used. Most housewives used beef three or four times a month and hardly used chicken or pork for making broth. Commercial broth materials were used two or three times a month. For making broth the bricket of beef, a whole or half chicken and bones of pig were consumed most frequently. Before making broth, from flesh only blood was removed. Also housewives slightly boiled bone blood-removed in water. The older age is, the longer marriage duration is, the higher monthly income and education level is, the more beef was consumed. The higher the education level is, the more vegetables like garlic, ginger, green onion, onion, radish were used. It is suggested that in order to develop various broth products made of natural materials, the characteristics of preferred broth materials should be defined and it is necesarry to accomplish the preference test of preferred broth products.

• Journal of Information Processing Systems
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• v.17 no.5
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• pp.879-891
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• 2021

With improvements in living conditions, an increasing number of people are choosing to spend their time traveling. Comfortable tour routes are affected by the season, time, and other local factors. In this paper, the influencing factors and principles of scenic spots are analyzed, a model used to find the available routes is built, and a multi-route choice model based on a game theory utilizing a path recommendation weight is developed. A Monte Carlo analysis of a tourist route subjected to fixed access point conditions is applied to account for uncertainties such as the season, start time, end time, stay time, number of scenic spots, destination, and start point. We use the Dijkstra method to obtain multiple path plans and calculate the path evaluation score using the Monte Carlo method. Finally, according to the user preference in the input path, game theory generates path ordering for user choice. The proposed approach achieves a state-of-the-art performance at the pseudo-imperial palace. Compared with other methods, the proposed method can avoid congestion and reduce the time cost.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.134-140
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• 2021

Big data has recently been used in various industries such as tourism, medical care, distribution, and marketing. And it is evolving to the stage of collecting real-time information or analyzing correlations and predicting the future. In the tourism industry, big data can be used to identify the size and shape of the tourism market, and by building and utilizing a large-capacity database, it is possible to establish an efficient marketing strategy and provide customized tourism services for tourists. This paper has begun with anticipation of the effects that would occur when big data is actively used in the tourism field. Because the method of use must have applicability and practicality, the spatial scope will be limited to Seosan, Chungcheongnam-do, and research will be conducted. In this paper, to improve the quality of tourism courses by collecting and analyzing the number of mention data and sentiment index data on social media, which reflect the tourist's interest, preference and satisfaction. Therefore, it is used as basic data necessary for the development of new local tourism courses in the future. In addition, the development of tourism courses will be able to promote tourism growth and also revitalizing the local economy.

• Journal of the Korean Geographical Society
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• v.29 no.2
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• pp.202-215
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• 1994

This research aims to introduce the theoretical basis of the studies of tourism resources, by review the research trends of tourism resources in the geography field. The geographical approaches to tourism resouces can be subdicided into 3 categories according to the subject. First, the classification of tourism resource types and the approach on the spatial distribution may be enumerated. This subject has been the object of the most interest and discussion to the geographers for tourism up to now. And from the viewpoint of contents, it has been developed by classifying the types of tourism resoures, which is based on the establishment of the range and standard of tourism resources and the spatial classification of types based on the distribution feature of the area. Second, the approach about cognition, preference and interpretation on the tourism resources as the background to induce tourism phenomenon and decide the tourism destination. Judging from the fact that most of this subject is starting from the behavioural study and that the right understanding and interpretation of tourism resource is the important factor to decide the preference degree of tourists, we have to have much interest about the field of tourism geoaraphy. Third, the development of tourism resources which is showing the active study recently and its influence and effect attendant upon it may be enumerated. Today, as the economic value of tourism is become important internationally, tourism resources are recognized as the important factor to induce the industrialization of tourism. And in the series of analytical studies related to it the interest has been transferred from the economic benefit analysis attendant upon tourism development including tourism resource and to the cultural, educational, environmental and psychological influence, etc. As the result of composite examination, for the geographical studies about tourism resources, the spatial scale and the contents are being subdivided and specialized. And in the side of subject and method of study, it is developing into the positive study based on the concrete data and the measuring and analytical frame.