• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.287-289
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• 2017

Recently, hardware, software, and content related to virtual reality (VR) have been increasing. In this paper, we design an application that enables users to experience various sightseeing spots without having to go directly by utilizing the characteristics of making virtual reality such as space, deep sea, etc. Conventionally, two-dimensional images and video were used to acquire and experience information about tourist attractions, but this application enables a realistic experience through three-dimensional images and video.

• Asian Journal of Business Environment
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• v.12 no.3
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• pp.31-39
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• 2022

Purpose: This research aims to analyze the quality and characteristics of foreign tourists to Indonesia. Research design, data and methodology: The indicator used to see the quality of foreign tourists is their expenditure while in Indonesia. The data used is secondary data and the statistical analysis used is panel data regression to see the effect of Economic Distance, GDP per capita, Average Length of Stay and Exchange Rate on the quality of Foreign Tourists from 2010 to 2019. Results: Foreign tourists to Indonesia are dominated by young tourists, male and stay about 8.87 days. Their expenditure is relatively low, mostly spent on accommodation, food and beverage. The variables of average length of stay, exchange rate, economic distance, and GDP per capita have a significant and positive effect on the quality of foreign tourists to Indonesia. Conclusions: The number of foreign tourists visiting Indonesia in 2010-2019 tends to increase where the majority of tourists come from countries that are geographically close to Indonesia, young tourists, and male. The quality of tourists in terms of spending is still relatively low. The characteristics of foreign tourists and economic indicators used in the study have a positive effect on improving the quality of tourists.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.33-40
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• 2021

The purpose of this study is to analysis the influence of personal backgrounds on the preference of fishing village experience recreation villages. As the analysis method, binary logistic regression analysis was used. Dependent variables are experience recreation villages (rural and fishing). The independent variables consist of 9 groups of people: gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village. As a result of the analysis, it was found that the tourist's gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village influence the preference of fishing village experience recreation village. By characteristics of each group, it was found that male prefer fishing village experience recreation villages 1.597 times as much as female, and those with a positive image about fishing villages prefer fishing village experience recreation villages as much as 2.644 times than those with negative images. In addition, it was found that those who visited the fishing village experience and recreation village prefer the fishing village experience village about six times more than those who have never visited.

• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.183-191
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• 2015

The servicescape of a hotel means the physical environment in which a service is produced and consumed. The users perceive the quality of the service and their inner response affects their satisfaction or behavior such as repurchase. Servicescape has been addressed mainly in marketing as a strategic element of service marketing research. The aim of this research is to find out which dimensions of servicescape is required in hotel facilities and to identify servicescape of tourist hotel in Seoul. For this study, questionnaire survey with facilities users and site research were used. Servicescape factors were derived cleanliness, convenience, aesthetics and ambience. According to case study, the most significant servicescape need for hotel facilities was cleanliness. Therefore, facility managers must continuously manage the facilities. In terms of convenience, layout of guest bathrooms and furniture was the important indicator of servicescape. Facility aesthetics play an important role as differentiation from competitors. By providing a customized design, customers choose hotels that best satisfy their needs. It is important to recognize that ambience can be controlled to a large extent by facility management.

• Knowledge Management Research
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• v.20 no.1
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• pp.101-132
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• 2019

In order to enhance the competitiveness of tourism destinations, it is important to manage tourist products considering the characteristics of tourist destinations and the characteristics of tourists. In this study, we divided Seoul's tourism products into four parts (shopping, food, culture, and natural landscape) to explore if there are some direct connections between tourism product involvement, self-congruity, and functional congruity. The other research question is if the degree of tourism product involvement reaches a certain intensity, will the place attachment be generated and the destination satisfaction be fulfilled. The survey was the focus on the international visitors in smart city, Seoul by using the random sampling and convenience sampling and collected 250 data. Finally, we found that destination personality significantly affects both self-congruity and functional congruity. If self-congruity and functional congruity are formed, tourism product involvement will be stimulated which will finally satisfy tourists and arouse their place attachment. The implications of these findings contribute to destination marketers to develop more effective destination management.

• Journal of Agricultural Extension & Community Development
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• v.16 no.1
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• pp.181-200
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• 2009

중국에서는 관광, 휴식, 체험교육의 목적으로 농촌지역의 놀이농원이 증가하고 있다. 특히 농촌지역 수변공간의 놀이공원에 대한 이용의 증가는 수변공간에 대한 경관 및 단지 설계가 중요한 요소로 작용하고 있다. 이 연구에서는 산동성 등주시의 수변놀이농원의 이용자 1194명을 대상으로 설문지와 관찰 등의 연구방법을 통하여 이용 행태와 요구를 분석하였다. 이용자들은 연령대에 따라 다른 이용행태 및 요구를 보이고 있다. 먼저 이용행태에서 20대 이하는 흥미와 동적인 놀이의 이용행태를 선호하며, 연령대가 증가함에 따라 덜 동적인 이용행태를 선호하였다. 또한 모든 이용자들은 새롭고, 흥미롭고, 편안한 이용시설에 대한 요구가 높았다. 경관요소에 대한 평가에서 20대와 41살 이상의 집단간에 유의미한 차이를 보이고 있으며, 20~40살 집단간에는 유의미한 차이가 없었다. 20대의 이용자들은 시설이용에서 안전성과 레크리에이션기능에 대한 요구가 높았고, 41살 이상의 이용자들은 휴식시설과 공간의 확대를 요구하였다. 또한 이용자들의 대부분이 휴식시설에 대한 요구에서 그늘, 편안함, 양적인 차원에서 시설확대 및 보완의 요구가 높았다. 따라서 농촌관광에서 여가공간의 이용하는데 있어서 방문객의 태도와 만족도에 관한 연구들은 인본주의에 바탕을 둔 편의시설의 확대와 질적 개선이 요구되고 있으며, 이러한 결과를 토대로 최근에 증가하고 있는 중국인의 한국관광 및 방문에 대비하여 중국인의 관광시설선호와 이용만족 증가를 위한 실증적인 자료수집과 대안모색이 필요하다.

• International Area Studies Review
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• v.14 no.1
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• pp.257-277
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• 2010

Rural tourism is considered one of the main components of travel today. This may explain the emerging interest in tourist behavior at rural sites. Nevertheless, it can be argued that research on tourists' motivation as well as segmentation for visiting rural sites is still in its infancy. The purpose of this study has three main objectives: (1)to adjust the motivations of rural tourism to the general motivations for all travelers and find the core factors for rural tourists. (2)to show the segmentation of korean rural tourists, and (3)to suggest the characteristics of rural tourists' typology. This paper was conducted through two studies: a literature review and a survey for empirical exploration of the ideas. The empirical data are extracted through convenience, and the valid questionnaires totaled to 828. The Frequency, Descriptive, Factor, Cluster, Discriminant, Cross-tabulation analysis were used for the data analysis. The results of analysis indicate that the rural tourists' motivation is consisted of 14 factors. the key elements play a major role in rural tourism. and the rural tourists' market was divided into 5 different groups. The results of this study will not only contributes to a better understanding of rural tourism due to clarification of tourist motivations but also have implication for the development and management of rural sites.

• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Korean Journal of Environment and Ecology
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• v.28 no.4
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• pp.484-489
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• 2014

In this paper, we examined factors that influenced light pollution in Korean national parks during peak and off-peak tourist seasons. Cloud-and moonlight-free nighttime satellite images that were collected during October 2012(for peak season) and January 2013(for off-peak season) by the Day and Night Band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor were used to estimate the levels of light pollution in 19 national parks (excluding the Bukhansan and Mudeungsan National Parks). Bootstrapping regression analyses were conducted to examine the effects of socioeconomic and policy factors on light pollution in the study national parks for peak and off-peak tourist seasons, separately. The characteristics of light pollution in the national parks varied by season. During the peak tourist season, light pollution in the national parks were affected more by night lights nearby the parks than those within in the parks, while in the off-peak season, light sources in the parks were more important. Scattering of light emitted from hotels and other recreational facilities outside the parks that led to the sky glow effect can be attributed to the greater impact of night lights nearby the parks during the peak season. This result suggests that regulating light pollution nearby the park areas is needed to mitigate light pollution in the national parks, especially in a peak tourist season.

• International Area Studies Review
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• v.22 no.4
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• pp.189-208
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• 2018

This study validates if this relationship results in differences of significance levels between first time and repeat visitors and analyzes if there exist any differences in the spatial characteristics of tourist attractions using Social Network Analysis(SNA) for the spacial attributes of movement network Focusing on Hwaseong city, South Korea. It is important for balanced development between tour sites in Hwaseong by enhancing the value of tourism resources and applying the concept of hub-and-spoke tourism development. Based on the analyzing the centrality of tourist movement networks, degree centrality, closeness centrality, and betweenness centrality all did not show much variation for 20 tourist attractions versus the top five. That is, the attractions that both first time and repeat visitors visit are concentrated in well-known, famous places. The authors hope that this study, which defines practical interactions among attractions based movement, will be used as practical data for developing tourist retention marketing strategies.