• Title/Summary/Keyword: 관광분석

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A study on Korean tourism trends using social big data -Focusing on sentiment analysis- (소셜 빅데이터를 활용한 한국관광 트렌드에 관한연구 -감성분석을 중심으로-)

  • Youn-hee Choi;Kyoung-mi Yoo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.97-109
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    • 2024
  • In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.

Destination Image Analysis of Daegu Using Social Network Analysis: Social Media Big Data (사회연결망 분석을 활용한 대구의 관광지 이미지 분석: 온라인 빅데이터를 중심으로)

  • Seo, Jung-A;Oh, Ick Keun
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.443-454
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    • 2017
  • A positive destination image has an impact on the tourist arrivals and economic growth of the tourist destination. Recently, the content generated by sharing tourist experiences and destination information on the internet has been increasing. The online content has the potential to become a major tourist decision source and provide more in-depth materials and richer content to extract destination image, insight and tourist's perceptions of the destination. This study was designed to explore the destination image of Daegu online and draw lessons for successful image management in an era of big data. Text mining approach and social network analysis were conducted to extract destination image determining elements and assess the influence of the elements. The result showed that destination image elements related to tourist infra-structures and culture, history and art affected the overall destination image of Daegu. Destination marketers should make an effort to grasp these precise destination image and seek ways to boost competitiveness as a tourist destination.

The Impact Analysis on the Tourism Satisfaction of Development Approach Factor in Cultural Tourism Destination (문화관광목적지 개발접근요인이 관광만족에 미치는 영향분석)

  • Kim, Sa-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.107-116
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    • 2012
  • The purpose of this study is to identify the impact on the tourism satisfaction of development approach factors in cultural tourism destination. Based upon the results of empirical analysis, the development approach factors in cultural tourism destination such as tourism convenience, tourism activity, tourism potentiality, tourism resources value have high significant correlation with tourism satisfaction. The priority order sets of the impact on the tourism satisfaction of development approach factors in cultural tourism destination should be related to the tourism benefit, the tourism activity, and the tourism resources value. And they can be used to promote the efficiency of cultural tourism development.

Importance Analysis on the Trytoursumer Social Media Channel (체험관광객(트라이투어슈머:Trytoursumer)의 관광 소셜미디어 채널 중요도 분석 연구)

  • Kim, Young-Ha
    • Journal of Digital Convergence
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    • v.14 no.4
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    • pp.193-200
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    • 2016
  • This study is focused on analyzing the tourism social media channel importance of Trytoursumer. On the basis of previous studies, the factors were divided into tourism communication, tourism cooperation, tourism contents sharing, tourism entertainment. As a result of the empirical analysis using AHP, Analytic Hierarchy Process, tourism communication relatively appeared as the most important factor. And order showed that the high importance of such tourism content sharing, tourism entertainment, tourism cooperation. Also, there was the highest priority of social networking in the area of tourism communication among 14 types of total evaluation factors regarding priority, followed by social news in the area of tourism cooperation, and micro-blog in the area of tourism communication. Analysis result, may contribute to the increase of social media channels effectiveness and strategy of application in social media channel of Trytoursumer.

A Study on the Analysis of Regional Tourism in Uijeongbu Using Big Data (빅 데이터를 활용한 의정부 지역 관광 분석 연구)

  • Lee, Jong-Yong;Jung, Kye-Dong;Ryu, Ki-hwan;Park, SeaYoung
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.413-418
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    • 2020
  • The travel pattern of tourists for the development of the tourist course is designed to collect and analyze tourist information based on the big data of the carrier to improve the quality of the tourist course. In particular, the analyzed data is used to derive empirical data that can estimate the effect of tourists' inflow into tourism, and to utilize the information as basic data for the development of the tourist course. In addition, the travel pattern of tourists for the development of regional tourism courses is to collect and analyze information on the route and duration of tourists' travel based on big data collected by telecom operators, credit card companies and other data to improve the quality of tourist course development, and to derive empirical data to estimate the effect of tourist inflow through the analyzed data, based on the characteristics of the tourism course and the data needed for the development of new tourist courses in the future.

The Improvements of the Tourism Field in the 6th Edition of KDC (한국십진분류법 제6판 관광학 분야의 분류체계 수정 전개 방안)

  • Kim, Jeong-Hyen
    • Journal of Korean Library and Information Science Society
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    • v.45 no.1
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    • pp.103-123
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    • 2014
  • This study investigated general problems concerning the tourism field in the KDC 6th edition based comparative analysis academic characteristics and classification system, and suggested on some ideas for the improvements of them. Results of the study are summarized as follows. First, academic field of tourism is generally divided into a general tourism, tourists, tourism attraction, and tourism media, but classification system of tourism is limited to parts of tourism attraction and a general tourism. Tourism attraction and tourism media are dispersed among the subject. Second, I analyzed on tourism from the collection database at the National Library of Korea. Based on analysis of the data. the keyword frequency of tourism management, type, development, psychology, industry, and convention etc. was relatively high. Third, modified classification of items was basically performed through the academic characteristics of the tourism and the keyword analysis, and maintaining the existing KDC classification system caused less confusion as much as possible. Also, based on this matter was added to the relative indexes.

Characteristics of Participation in Eco-tourism by Lifestyle: Focused on the Case of University Students in Korea (대학생소비자 라이프스타일 유형에 따른 생태관광 참여특성에 관한 연구)

  • Ahn, Chang-Hee;Byun, Byung-Seol
    • Journal of the Economic Geographical Society of Korea
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    • v.10 no.4
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    • pp.461-480
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    • 2007
  • The purpose of this study is to investigated and differences per lifestyle type according to characteristics of participation in eco-tourism by classifying lifestyle types of university student consumers. Also, the influences exerted on characteristics of participation in eco-tourism by the variables of demographical characteristics, lifestyle types and characteristics of eco-tourism were analyzed. The results indicated by the research can be summarized as follows. First, significant differences were found in terms of sociability inclination factors and leisure inclination factors. In other words, the group of people who had participated in eco-tourism were more of sociability-inclined and leisure-inclined lifestyle types than the group of people who had not participated in eco-tourism. Second, logistic analysis on the types of influences exerted on participation in eco-tourism by demographical characteristics, characteristics of eco-tourism and lifestyle types, it was found that significant influences were exerted by such variables of propensity of learning in eco-tourism, leisure inclination factors and school year. Third, regression analysis on the types of influences exerted on intention to participate in eco-tourism by demographical characteristics, characteristics of eco-tourism and lifestyle types, propensity of awareness on eco-tourism, tendency of preferring eco-tourism, sociability inclination factors and progress inclination factors were selected as significant variables.

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Substitute or Complementary among Types of Special Interest Tourism and A Causal Relationship between Total Individual Tourism Demand and Each Types -Application of Correlation Analysis and Econometrics Models- (특수목적관광 유형 간의 대체보완 및 총 관광수요와의 영향관계 -상관관계분석 및 계량경제모형의 활용-)

  • Gwak, Gang-Hee
    • The Journal of the Korea Contents Association
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    • v.11 no.8
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    • pp.409-418
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    • 2011
  • An aims of this study is to examine substitute or complementary among types of special interest tourism and a causal relationship between total individual tourism demand and each types. Of 500 surveyed respondents in Seoul, 348 was valid to analyse. As statistical analysis method, correlation analysis was utilized for substitute or complementary and Econometrics models were applied for causal relationship. The results of this study demonstrate that agro tourism and ocean tourism lie on substitute which means competitive. Also, ocean tourism has had more impacted on total individual tourism demand than any other types of special interest tourism.

서남해안권 연안크루즈 개발과 그 운영 타당성 분석

  • Sin, Hae-Mi;No, Chang-Gyun;Seong, Yu-Chang
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2012.06a
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    • pp.222-224
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    • 2012
  • 친환경적이고 다양한 체험을 원하는 관광수요의 증가로 전라남도의 관광객은 꾸준히 증가 추세에 있어 지역 경제 활성화에 기여할 것으로 예상된다. 그러므로 남서해안 해양 관광 시대를 대비한 핵심전략 수립의 필요성이 대두되고 있다. 남해안의 관광 활성화를 위해 섬과 해안선, 다도해 해상국립공원을 대상으로한 크루즈 관광 상품을 개발하고 사업화 방안을 연구하는 것은 남해안 해양관광 할성화에 기여할 것으로 기대된다. 따라서 본 연구에선 해양관광시대의 도래에 대비한 관광전략의 수립으로 크루즈 관광의 루트를 선정하고 크루즈의 신규선 건조 시와 중고서 구입의 경우의 사업성타당성을 분석하여 남해안 크루즈 관광의 사업화 방안을 연구하고자 한다.

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