• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.23-31
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• 2019

In this study, we collected data through online travel notes from January to December 2018 and analyzed the seasonal travel characteristics of individual visiting Chinese by utilizing social network analysis. The analysis showed that Seoul is a hub for Chinese travel to Korea and the main destinations for individual visiting Chinese are concentrated in Seoul, Busan, Jeju Island, Gyeongju and Gangneung, with wide differences in seasons. The research results can be used as basic data for the development of tourism courses for individual Chinese tourists to Korea, provision of tourism services and optimization of tourism facility layout. Future research can consider continuing to use network travel notes to study the tourist destination and the mode of transportation between tourist nodes, which can provide reference for the development of tourist market and the planning and design of tourist traffic.

• 건강소식
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• v.29 no.1 s.314
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• pp.36-37
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• 2005

사실 여행을 즐겨 다니는 사람도 대도시를 목적지로 삼아 여행을 떠나는 경우는 드물다. 특히 대전, 대구 등 대륙의 대도시는 사실 순수한 여행보다는 업무 차 방문하게 되는 경우가 많다. 이런 여행은 대개 한나절 또는 당일 일정의 짧은 여정이 대부분으로 시내 관광에 나서는 일은 드문 것도 사실이다. 하지만 그 고장의 특산 음식을 맛보는 일은 잠시 만사를 제쳐놓고라도 한번 도전해 볼 일이다.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.111-119
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• 2020

This study takes Chinese independent tourists to South Korea as the research object, mines the data of tourists' digital footprints from online travel notes, and analyzes the characteristics of the tourism flow of Chinese independent tourists to South Korea by using the method of quantitative statistics and social network analysis(SNA). The results show that Seoul, Jeju Island, Busan and Daegu are the important tourist destinations for Chinese independent tourists entering South Korea. In addition, Qingdao, Tianjin, Shenyang, Hong Kong, Foshan and Macao are crucial hubs for Chinese independent tourists to visit South Korea. In future studies, the number of sample data should be increased. The time span of data collection should be extended for studying the annual variation characteristics of tourism flow and the trend of tourism hot spots.

• Journal of the Speleological Society of Korea
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• v.22 no.23
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• pp.71-96
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• 1990

지난 2월8일부터 2월16일까지 9일간의 여정으로 본 학회 홍시환회장님과 같이 일본내 및 개소의 동굴과 특수 과학박물관의 관리실태를 조사하였다. 짧은 기간동안의 주마동 같은 시찰여행으로 일본에서 가장 알려진 대표적인 관광동굴 5개소와 10개소 이상의 특수과학박물관과 자연사 및 고고학박물관에 대한 전시 및 보존관리상태, 그리고 환경보전과 합리적인 운영방안에 대한 시찰, 견학, 협의 등을 실시할 수 있게 되었음은 현지 동굴학회 회원들의 적극적인 협조의 공과라고 생각된다.(중략)

• Journal of the Speleological Society of Korea
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• no.44
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• pp.49-63
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• 1995

지난 6월 15일부터 6월 20일 까지 9일간의 여정으로 본 학회 홍시환박사님과 같이 일본내 몇 개소의 동굴과 특수 과학박물관의 관리실태를 조사하였다. 짧은 기간동안의 주마등 같은 시찰여행으로 일본에서 가장 알려진 대표적인 관광동굴 5개소와 10개소 이상의 특수과학박물관과 자연사 및 고고학박물관에 대한 전시 및 보존관리상태, 그리고 환경보전과 합리적인 운영방안에 대한 시찰, 견학, 협의등을 실시할 수 있게 되었음은 현지 동굴학회 회원들의 적극적인 협조의 공과라고 생각된다.(중략)

• Smart Media Journal
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• v.13 no.2
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• pp.156-164
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• 2024

The Metaverse as a combination of physical and digital space, provides many consumers with a different process of search, evaluation, consumption, and disposal than before, based on hyper-connected and hyper-realistic services. Therefore, it is necessary to examine what kind of sensory experiences customers feel when performing various activities in the Metaverse and how these experiences affect customers' behavioral responses. This study measured the temporal and emotional experience of the Metaverse service environment felt during the Metaverse experience journey of customers experiencing medical tourism services. The results of the study showed that the emotional experience through Metaverse had a more positive impact on customer satisfaction and customer loyalty as the intensity of the Metaverse experience deepened. In particular, it was confirmed that the emotional experience at the end of the Metaverse service had a positive influence on repurchase behavior. These results show that, just as in the real world, customer experience in the Metaverse can provide important insight into understanding customers' post purchase behavior and how service providers can develop and implement effective customer experience strategies in the Metaverse environment.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.32 no.1
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• pp.53-62
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• 2014

Human has noticed a beautiful natural scenery and appreciated it as a scenic site by giving meaning to it and evaluating it. How the beautiful natural scenery was appreciated as a scenic site depends on natural features, social and cultural environments, and the current of the times. Mt. Jiri is the highest mountain in inland South Korea and keeps ancestors' history and culture intact. Joseon Dynasty literary men frequently mentioned Mt. Jiri as a tourist attraction where they could pursue and share their studies against its beautiful natural scenery. The countless literary men visited Mt. Jiri and some of them left their journeys as travelling records. This research aimed at apprehending travel routes of Chunwang Peak of Mt. Jiri based on the contents of travelling records and investigating the scenic site value of scenic resources as the literary men in Joseon Dynasty recognized. The scenic resources of Mt. Jiri were related to the change of the reason or motivation of person who climbed and it should be noted that there was a change of reason or motivation in climbing Mt. Jiri from a following of master's paths to discovery of a new trails. Thus, even if there was a difference in reason or purpose of natural scenic beauty, the concept of scenic sites of the past and the present day should be included into the extended meaning of scenic sites. This research aimed the routes of well-known literary men need to be developed as programs utilizing "the concept of ancient sages' footprints" and the development of these contents shall be used for vitalization and self-support of a regional economy.