• Journal of Korean Society of Forest Science
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• v.87 no.2
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• pp.179-187
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• 1998

This study was conducted to get local residents' attitudes information and management information toward tourism impacts in Black Hills of South Dakota, U.S.A. It used Importance-Performance analysis to evaluate local residents' attitudes about the impacts of tourism. A total of 184 respondent data were used in this study. The return rate was 54%. 184 out of 340 questionnaires. Most respondents expressed high positive about the local economic impacts of tourism and environment impacts of tourism had not obvious negative on them. In 23 variables of tourism impacts there were a few significant differences in certain socioeconomic characteristics of the respondents as residence length and income. The results of Importance-Performance evaluation indicated useful future management decision information.

• Journal of Agricultural Extension & Community Development
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• v.20 no.4
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• pp.1079-1103
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• 2013

This study is to identify different characteristics of chinese tourists in relation to food tourism. These features includes motivation, travel behavior, attributions, information source, preference about local food and food tourism. Based on the results from empirical investigation, it develop suggestions for attracting chinese tourism to rural area. The results shows that the strongest motivation is to find new food which is different from daily life. Also, they believed that eating local food is meaningful travel behavior. In addition, this study reveals that the attribution of food selection is highly related to freshness, tastes, and sanitation. Accordingly, this study suggests following guide to attract chinese tourist to rural area. 1) developing unique and authentic local food, 2) preparing extensive menu with meat and local agricultural products & a light menu for breakfast 3) deliberating about freshness and sanitation, 4) creating good appearance and smell.

• 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 Korea Port Economic Association
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• v.28 no.2
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• pp.43-59
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• 2012

Recently, there has been a noticeable increase in the number of tourists in islands that are well-known for their natural landscapes. It is expected that this number will go up steadily, due to the increase in per capita income and leisure time. Regarding tourism transportation, utilizing linkage transport between coastal passenger terminal and inland transport system is crucial. However, the existing system does not measure up to the expectations. This is attributable to the fact that the distances between coastal passenger terminals and inland transportation terminals are too far. Also, the current public transportation system lacks support and needs to take the role of connecting the two terminals. This study shows how coast-inland linkage transport system should be reformed in order to promote island tourism. It focuses on building linkage transport system and minimizing walking distance. Also, adjusting passenger ship schedule to the characteristics of island tourism is needed. For the sake of passengers, coastal passenger ship fare should be reduced, and integrated transport information should be provided.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.3
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• pp.75-89
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• 2020

This study was conducted to investigate researches related to tourism transport conducted in Korea and to discover new complementary research projects based on this. Forty cases were reflected in the study, including 28 academic papers and 12 policy studies. Based on the characteristics of tourism transport and cases of prior research, this study divided the field of tourism transport research into three ranges: traffic mode choice for tourism, information for tourist traffic and support policy for tourist traffic etc. In particular, mode choice for tourist traffic was divided into four sub-ranges, reflecting the importance of tourist traffic and the weight of research cases. As a result of the study, it was found that there were not many cases of research on tourism transport, and the research cases were concentrated on the mode choice for tourist traffic. To complement this, this study proposed 10 new research projects in 3 ranges. This is a result of reflecting changes in tourist demand and tourism trends. In addition, a new research field was proposed to seek the connection between transport facilities supply and tourist demand.

• Smart Media Journal
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• v.12 no.8
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• pp.37-44
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• 2023

This study investigated the influence of travel-related content on the popular short-form platform TikTok in China on users' intentions to visit travel destinations and purchase travel products. Conducted in July 2023, amidst the rising consumption of short-form content through mobile devices due to the COVID-19 pandemic, the research surveyed 337 participants using an online survey platform in China. The findings revealed that the entertainment factor within TikTok's content did not significantly impact the perception of travel destinations, whereas informativeness and trustworthiness had positive effects. Moreover, expertise and interactivity also had positive effects. The study demonstrated that the image of travel destinations formed through short-form content on TikTok positively and significantly influenced visitors' intentions. These results provide valuable insights for crafting effective strategies in the tourism industry and marketing efforts.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.473-483
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• 2020

This paper proposes a tourism recommendation system in intelligent cloud environment using information of tourist behavior applied with perceived value. This proposed system applied tourist information and empirical analysis information that reflected the perceptual value of tourists in their behavior to the tourism recommendation system using wide and deep learning technology. This proposal system was applied to the tourism recommendation system by collecting and analyzing various tourist information that can be collected and analyzing the values that tourists were usually aware of and the intentions of people's behavior. It provides empirical information by analyzing and mapping the association of tourism information, perceived value and behavior to tourism platforms in various fields that have been used. In addition, the tourism recommendation system using wide and deep learning technology, which can achieve both memorization and generalization in one model by learning linear model components and neural only components together, and the method of pipeline operation was presented. As a result of applying wide and deep learning model, the recommendation system presented in this paper showed that the app subscription rate on the visiting page of the tourism-related app store increased by 3.9% compared to the control group, and the other 1% group applied a model using only the same variables and only the deep side of the neural network structure, resulting in a 1% increase in subscription rate compared to the model using only the deep side. In addition, by measuring the area (AUC) below the receiver operating characteristic curve for the dataset, offline AUC was also derived that the wide-and-deep learning model was somewhat higher, but more influential in online traffic.

• Journal of Korean Society of Forest Science
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• v.90 no.6
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• pp.747-755
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• 2001

This study was analyzed the destination image and tests of image value of forest region festival by segmenting the market. A field survey was conducted during the Acasia-Honey Festival days in Chilgok, the famous acasia-honey products place, from May 12-15, 2001. In this study, 20 image items on five-point Likert scale were examined through factor analysis using a sample of 394 visitors. Four factors were identified as follows : environment, behavior-facilities, festival programs, and products. The author observed if there were statistically significant differences of destination images between the first-time and the repeat visitors, between residents and non-residents, and between purchasers and non-purchasers of acasia-honey products. The results indicated that repeat visitors and residents group had a more positive image of behavior factor such as hospitality and information for festival. And, the author found that purchasers of acasia-honey products had more positive image of product as well as environment factor such as special atmosphere, nostalgia, natural attractions, local culture, and novelty. For these results, it is possible to conclude that local government must effectively provide the festival visitors with well-defined information such as festival contents and schedule, also, develop the programs involved unique attributes of forest region festival to improve festival image.

• Journal of Information Technology and Architecture
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• v.11 no.4
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• pp.471-483
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• 2014

The purpose of this study was to look over the sharing and flow of information on tourism tourist destination made through social media by utilizing social network analysis. In this research for compared the exchange and diffusion relationships and made information sharing among users of the network group for the Seoul / Busan Tourism Twitter. The first part of analysis dealt with the network centralization and information dissemination patterns from a global perspective. The second part was an analysis of nodes with the highest degree centrality in order to identify the most influential user within the Twitter network and determine the information flow and user characteristics with respect to the information dissemination pattern in Seoul/Busan tourism Twitter. The results scientific evidence was presented that social media users' information search behavior information to understand the sharing and spreading patterns, social media as a marketing tool, simple products and services that will ultimately provide the desired information detainee information is not a means of promoting utilization was presented.

• Proceedings of the KGS Conference
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• 1999.05a
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• pp.93-96
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• 1999