• Journal of Digital Convergence
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• v.20 no.5
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• pp.239-251
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• 2022

This study tried to understand the structural relationship between public crisis communication, emotional influence, and behavioral intention in a national crisis/risk situation. Based on the results of previous studies and empirical studies, the results of crisis/threat type, crisis/threat response, sentiment (crisis/risk responsibility, strategic risk/risk reflective response), and action intention For tourists who visit tourist destinations, as well as the relationship between crisis and risk communication at the tourist destination and one of the unique emotions of Koreans (crisis threat responsibility, strategic response, and reflective response to crisis threat) The relationship between the outcome variable, behavioral intention, was identified. A theoretical study was conducted on each research concept to achieve the proposed research purpose. Based on this, a questionnaire was drawn up and empirical research was conducted in parallel. Three hypotheses were established, and meaningful results were confirmed according to the results of the hypotheses. When a risky situation occurs, the government, business, and local community will actively respond and respond to it as an opportunity to offset the risk of crisis.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.3
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• pp.22-33
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• 2020

Sign system is one of the most widely used guide media in scenic spots. It plays vital role in introducing cultural values of destinations to tourists with better visit experience. The purpose of this study is to derive the influence factors of the sign system of Mount Tai scenic area for tourists, analyze the satisfaction of tourists, and provide suggestions for the sign system of Mount Tai Mountaineering Road to improve tourists' satisfaction in the future. The evaluation items of Mount Tai Mountaineering Road sign system were derived from the previous studies and then subdivided comprehensively. Survey by questionnaires was carried out to obtain the influence factors. In order to understand the satisfaction degree of tourists, fuzzy comprehensive evaluation was implemented. The research results of this study are summarized as follows. First, four influence factors of the sign system on Mountaineering Road of Mount Tai were concluded as the interpretation content, appearance modeling, interpretation methods and layout management. Second, the order of weight values of influence factors was the interpretation content, appearance modeling, interpretation methods and layout management respectively from high to low, which means that tourists paid more attention to practicality and aesthetics. Third, the satisfaction degree of the tourists on the sign system was different. The satisfaction level for the three factors (interpretation content, appearance modeling, layout management) was good, while the satisfaction for interpretation method was medium. The reason was that it failed to deepen the understanding of tourists on the natural and cultural values of Mount Tai Mountaineering Road. These results indicate great significance to provide theoretical basis for the later readjustment and design of the sign system and to improve the overall satisfaction of tourists on tourism experience.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.1
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• pp.50-63
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• 2014

Eco-tourism has been recognized as a form of sustainable development that simultaneously satisfies the need for environmental preservation and the activation of local economies. Although some research findings relating to its positive environmental and social effects have been published, there is still controversy regarding its pros and cons in terms of its actual economic benefits, and little research about how they can be increased. Thus, the following research analyzes how the tour activities, attitudes and satisfaction of 314 actual visitors was related with their consumption behaviors, by surveying tourists to Suncheon Bay, a highly popular destination with a large number of visitors. The results are as follows. First, if the tourists were involved in a link-up tour, had prior eco-tourism experience, or had researched information on SunCheon bay eco-tourism before their visit, these were all positively correlated with consumption behaviors, and increased the amount of money they spent. In particular, among tour spending activities, accommodation cost is shown to be highly correlated with tour activities. Second, Free Independent Tourist(FIT) tended to show more positive tour attitudes than package tourists, spending more on accommodation and experience programs. The visitors to SunCheon Bay showed strong environmental attitudes, followed by social and cultural attitudes, and economic attitudes, in that order, and tourists with positive attitudes had a high rate of participation in experience programs. In addition, program participants showed a willingness to donate, and high satisfaction. Therefore, the following thesis proposes that Free Independent Tourist(FIT) should be induced to increase their contribution to the local eco-tourism economy, and highlights the need to develop various experience programs, aggressive advertisements and educational activities.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.373-381
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• 2012

Due to IT(information technology) development, various ITs have been applied to tourism. Since June 2010, PDA guide service was launched in Kyungbok palace. This study tried to find how effectively the service is operated by comparing flow, satisfaction and reuse intention of PDA users with those of who have received guide service by professional interpreter. The result indicates that those who have received professional interpretation showed to be more involved, satisfied and have more intention to reuse. The paper explored the composing factors of PDA guide service, which are 'interpretation', 'design', 'ease of use', and 'stability of operation'. Among these factors, interpretation was analyzed to be only factor what affects users' involvement and also most influential attribute explaining users' satisfaction and reuse intention. 'Interpretation', 'stability' and 'ease of use' are shown to have impact on satisfaction, while 'interpretation' and 'stability' have significant effect on users' reuse intention of PDA guide service. The operational implications from these results are suggested.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.117-128
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• 2017

This study aims to propose measures to consistently induce Chinese tourists who represent the largest percentage of inbound tourism from foreign countries, utilizing raw data of 2015 Korea International Visitor Survey conducted by the Korea Culture & Tourism Institute under the Ministry of Culture, Sports and Tourism. Differences and influence factors for overall satisfaction on travel in Korea, intention to revisit Korea, and intention to recommendation were analyzed by demographic characteristics and tourism characteristics of Chinese consumers. As a result of analysis study, it came out that there are differences between overall satisfaction on travel in Korea and intention to revisit Korea by age and job of demographic characteristics. Among the tourism characteristics, there are differences in intention to revisit Korea depending on purpose of travel, intention to revisit Korea and recommendation according to route of travel information search, and there are differences in all three categories according to type of travel. The most important factor of all three category was identified as 'Food' factor and the second most influential factors were immigration procedures, security, and tourist attractiveness. It is suggested that more active research and improvement efforts are needed in the government, industry, and academia in order to attract Chinese tourists in the future.

• Journal of the Korean association of regional geographers
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• v.20 no.2
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• pp.189-205
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• 2014

Most local governments make an attempt to attract tourists through the large-scale development projects or regional festival events. But, its possibility of success is actually low, so they must take care of ecotourism industry which has higher efficiency in comparison with investing expense. Seocheon area couldn't be focused greatly in spite of the excellent ecological and cultural resources. However, there are lots of possibilities to be a new center of ecotourism because of newly opened National Institute of Ecology and National Marine Biology Resource Institute. Therefore, the purposes of this thesis are to analyze several eco-cultural property all over Seocheon, introduce ecotourism, a main function of ecosystem services, and develop the program satisfying 3 elements of ecotourism; natural environment, visitors and residents. In Seocheon located in where the sea meets the river, ecological property could be reorganized into 4 areas in relation to existing famous tourist attractions. As a measure to let visitors stay, we induced them to lodge in the region through the field work. To realize slow life, we designed it so that they can enjoy each landscape slowly. we also suggested the program which can guide visitors onto the vicinity of habitat for migratory birds at the mouth of Geumgang River and Seocheon foreshore nominated as Ramsar wetlands by focusing on National Institute of Ecology and National Marine Biology Resource Institute which will be the Mecca of ecology research. Through this research, there will be an opportunity to satisfy visitors of Seocheon and enrich local residents' lives.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.368-378
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• 2019

With respect to the growth and development of innocity from improvements in leisure environments, this research examines the factors that affect the level of satisfaction of innocity leisure environments to propose political implications. In order to do so, 43 leisure activities were chosen, and the level of importance of those activities to the residents prior to moving to the innocity was compared to the level of satisfaction the residents felt regarding the activities after moving. As a result, 13 activities, including literature attendance, had greater levels of satisfaction after moving than the levels of importance prior to moving. The rest (30) activities showed the opposite results. We deduced the factors that affect the level of satisfaction by performing logistic regression analysis on 3 dependent variables. As a result, the static and passive leisure activities had higher satisfactory levels, whereas the dynamic and active had lower satisfactory levels. Thus, innocity must develop culture facilities quickly, expand exercise facilities to support sports activties, and promote tourism by improving and networking with tourist attractions in order to improve future satisfactory levels of leisure activities.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.167-181
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• 2023

This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.2
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• pp.39-50
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• 2024

Color is an essential visual element that has a significant impact on the formation of a city's image and people's perceptions. Quantitative analysis of color in urban environments is a complex process that has been difficult to implement in the past. However, with recent rapid advances in Machine Learning, it has become possible to analyze city colors using photos shared by tourists. This study selected Dali City, a popular tourist destination in China, as a case study. Photos of Dali City shared by tourists were collected, and a method to measure large-scale city colors was explored by combining machine learning techniques. Specifically, the DeepLabv3+ model was first applied to perform a semantic segmentation of tourist sharing photos based on the ADE20k dataset, thereby separating artificial elements in the photos. Next, the K-means clustering algorithm was used to extract colors from the artificial elements in Dali City, and an adjacency matrix was constructed to analyze the correlations between the dominant colors. The research results indicate that the main color of the artificial elements in Dali City has the highest percentage of orange-grey. Furthermore, gray tones are often used in combination with other colors. The results indicated that local ethnic and Buddhist cultures influence the color characteristics of artificial elements in Dali City. This research provides a new method of color analysis, and the results not only help Dali City to shape an urban color image that meets the expectations of tourists but also provide reference materials for future urban color planning in Dali City.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.149-169
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• 2018

Korea is currently accumulating a large amount of data in public institutions based on the public data open policy and the "Government 3.0". Especially, a lot of data is accumulated in the tourism field. However, the academic discussions utilizing the tourism data are still limited. Moreover, the openness of the data of restaurants, hotels, and online tourism information, and how to use SNS Big Data in tourism are still limited. Therefore, utilization through tourism big data analysis is still low. In this paper, we tried to analyze influencing factors on foreign tourists' satisfaction in Korea through numerical data using data mining technique and R programming technique. In this study, we tried to find ways to revitalize the tourism industry by analyzing about 36,000 big data of the "Survey on the actual situation of foreign tourists from 2013 to 2015" surveyed by the Korea Culture & Tourism Research Institute. To do this, we analyzed the factors that have high influence on the 'Satisfaction', 'Revisit intention', and 'Recommendation' variables of foreign tourists. Furthermore, we analyzed the practical influences of the variables that are mentioned above. As a procedure of this study, we first integrated survey data of foreign tourists conducted by Korea Culture & Tourism Research Institute, which is stored in the tourist information system from 2013 to 2015, and eliminate unnecessary variables that are inconsistent with the research purpose among the integrated data. Some variables were modified to improve the accuracy of the analysis. And we analyzed the factors affecting the dependent variables by using data-mining methods: decision tree(C5.0, CART, CHAID, QUEST), artificial neural network, and logistic regression analysis of SPSS IBM Modeler 16.0. The seven variables that have the greatest effect on each dependent variable were derived. As a result of data analysis, it was found that seven major variables influencing 'overall satisfaction' were sightseeing spot attraction, food satisfaction, accommodation satisfaction, traffic satisfaction, guide service satisfaction, number of visiting places, and country. Variables that had a great influence appeared food satisfaction and sightseeing spot attraction. The seven variables that had the greatest influence on 'revisit intention' were the country, travel motivation, activity, food satisfaction, best activity, guide service satisfaction and sightseeing spot attraction. The most influential variables were food satisfaction and travel motivation for Korean style. Lastly, the seven variables that have the greatest influence on the 'recommendation intention' were the country, sightseeing spot attraction, number of visiting places, food satisfaction, activity, tour guide service satisfaction and cost. And then the variables that had the greatest influence were the country, sightseeing spot attraction, and food satisfaction. In addition, in order to grasp the influence of each independent variables more deeply, we used R programming to identify the influence of independent variables. As a result, it was found that the food satisfaction and sightseeing spot attraction were higher than other variables in overall satisfaction and had a greater effect than other influential variables. Revisit intention had a higher ${\beta}$ value in the travel motive as the purpose of Korean Wave than other variables. It will be necessary to have a policy that will lead to a substantial revisit of tourists by enhancing tourist attractions for the purpose of Korean Wave. Lastly, the recommendation had the same result of satisfaction as the sightseeing spot attraction and food satisfaction have higher ${\beta}$ value than other variables. From this analysis, we found that 'food satisfaction' and 'sightseeing spot attraction' variables were the common factors to influence three dependent variables that are mentioned above('Overall satisfaction', 'Revisit intention' and 'Recommendation'), and that those factors affected the satisfaction of travel in Korea significantly. The purpose of this study is to examine how to activate foreign tourists in Korea through big data analysis. It is expected to be used as basic data for analyzing tourism data and establishing effective tourism policy. It is expected to be used as a material to establish an activation plan that can contribute to tourism development in Korea in the future.