• Title/Summary/Keyword: Travel News

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Content Analysis of Newspapers' Travel News (신문의 관광보도 내용분석)

  • Park, Jowon
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.68-78
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    • 2014
  • Recently, media's attention to tourism is enhanced, and the proportion of tourism related content is increasing. Hence, the present study performed a content analysis of the travel news stories in major Korean newspapers to figure out the current state of travel journalism. A rotation sampling method was employed, and 53 days in 2013 were selected. Main coding categories were type, theme, and writer of the news stories and the degree of promotional information in the news stories. Differences among newspapers and the degree of inclusion of the promotional information according to news types and themes were analyzed. Analyses revealed the differences among newspapers and the degree of inclusion of promotional information was different according to the news types and themes. On the basis of the findings, problems of the travel journalism were identified, and possible measures to solve the problems were discussed.

Analysis of Review Data of 'Tamna' Franchisees to Promote Sustainable Travel in Jeju City (제주시의 지속가능한 여행 활성화를 위한 지역화폐 '탐나는전' 가맹점의 리뷰 데이터 분석)

  • Sehui Baek;Sehyoung Kim;Miran Bae;Juyoung Kang
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.113-128
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    • 2022
  • After COVID-19, interest in "sustainable tourism" increased, and the number of tourists who wanted to experience "sustainable tourism" also increased. However, there is a problem that the programs and methods for 'sustainable tourism' are not specific and diverse. In addition, since most of the interests of "sustainable tourism" focus on "environment" and "carbon neutrality," there are not many programs or government policies that can contribute to the community. Therefore, in this study, news data and review data were analyzed to suggest a method for promoting 'sustainable tourism'. First, in this study, major themes of sustainable travel were derived through news big data analysis. Through this analysis, policy themes and events of 'sustainable tourism' were derived. By analyzing news big data related to "sustainable tourism," we would like to analyze the reasons why sustainable travel has not been activated in Korea. Finally, in order to promote sustainable travel in Jeju island, we analyzed user review data of Jeju local currency, and propose a idea to coexist with the local community.

Interpretation of the place discourse of Deoksugung Doldam-gil through News Big Data (뉴스 빅데이터를 통한 덕수궁 돌담길의 장소 담론 해석)

  • Sung, Ji-Young;Kim, Sung-Kyun
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.923-932
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    • 2017
  • Based on the metadata of BIGkids, a news big data system, this study analyzed the trends of news coverage by the major fields and topics related to Deoksugung Doldam-gil in mass media. In addition, we tried to interpret the space discourse of Deoksugung Doldam-gil which has been formed in contemporary period through the analysis of data related to BIGKinds, the contents of related reports and context. As a result of the analysis, the coverage of Deoksugung Doldam-gil was mostly reported in the field of 'Culture', and the news related to 'Cooking_Travel', 'Exhibition_Performance' and 'Broadcasting Entertainment.' Deoksugung Doldam-gil was categorized as the pedestrian freindly street, the cultural and artistic street, and the historical street, and interpreted the spatial discourse with related news contents.

A Study on Tourism Behavior in the New normal Era Using Big Data (빅데이터를 활용한 뉴노멀(New normal)시대의 관광행태 변화에 관한 연구)

  • Kyoung-mi Yoo;Jong-cheon Kang;Youn-hee Choi
    • 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.

Indian Railways: Recent Trends in Control Accidents and Safety Measures for Passengers

  • Kumar, Katta Ashok
    • East Asian Journal of Business Economics (EAJBE)
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    • v.2 no.4
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    • pp.48-55
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    • 2014
  • Indian railways has been regularly in the news albeit for the wrong reasons. The frequency with which train accidents have been taking place has led to serious doubts in the public mind about the safety of rail travel and also the health of the network. Against this background, an attempt is made in this paper to assess the trends in railway accidents for the period from 2000-01 to 2009-10. The paper also highlighted the various measures taken by IR to prevent accidents to ensure safety to the public.

Funology Body : Classified Application System Based on Funology and Philosophy of the Human Body (Funology Body : Funology와 '몸의 철학' 이론을 바탕으로 한 어플리케이션 분류 검색 체계 연구)

  • Kihl, Tae-Suk;Jang, Ju-No;Ju, Hyun-Sun;Kwon, Ji-Eun
    • Science of Emotion and Sensibility
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    • v.13 no.4
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    • pp.635-646
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    • 2010
  • This article focuses on Funology and a new classified application system based on concept of language and thought which are formed by body experience. It is defined by Funology Body as that. Funology Body is classifying and searching system which are consisted of a body, world (environment), and device tool. The body is sectioned by Brain, Eyes, Ears, Nose, Mouth, Hand, Torso, Feet, and Heart according as parts of the human body. This allows intuiting and experience searching as making classified system connected to the application relationship with concept of an each part of body. The Brain of the body is sub-classified by Book, Account, Business, Memory, Education, Search, and Aphorism to imply the application with thought. The Eyes take Video, Photography, and Broadcast for visibility. The Ears is categorized as Music, Instrument, Audio, and Radio for hearing. The Nose gets Perfume, Smell for olfactory sense. The Mouth is sectioned by Food, SNS, Chatting, Email, and Blog for eating and communication. The Hand sorts into Games, Kits, and Editing to handle, create, and play. The Torso is grouped by Health, Medical, Dance, Sport, Fashion, and Testyuorself related by protecting internal and meaning of the body core. The Feet is classified by Travel, Transportation, Map, and Outdoor for moving and concept of expanding the terrain. The Heart is consisted of Fear, Anger, Joy, Sadness, Acceptance, Disgust, Expectation, and Surprise for a human feeling. Beyond that, the World takes News, Time, Weather, Map, Fortune, and Shop, and Device tool gets Interface, Utilities. The Funology Body has a unique characteristic of giving intuitive and sensuous pleasure and reflection of users' attitude and taste for changing application flexibly.

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Analyzing the Effect of Online media on Overseas Travels: A Case study of Asian 5 countries (해외 출국에 영향을 미치는 온라인 미디어 효과 분석: 아시아 5개국을 중심으로)

  • Lee, Hea In;Moon, Hyun Sil;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.53-74
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    • 2018
  • Since South Korea has an economic structure that has a characteristic which market-dependent on overseas, the tourism industry is considered as a very important industry for the national economy, such as improving the country's balance of payments or providing income and employment increases. Accordingly, the necessity of more accurate forecasting on the demand in the tourism industry has been raised to promote its industry. In the related research, economic variables such as exchange rate and income have been used as variables influencing tourism demand. As information technology has been widely used, some researchers have also analyzed the effect of media on tourism demand. It has shown that the media has a considerable influence on traveler's decision making, such as choosing an outbound destination. Furthermore, with the recent availability of online information searches to obtain the latest information and two-way communication in social media, it is possible to obtain up-to-date information on travel more quickly than before. The information in online media such as blogs can naturally create the Word-of-Mouth effect by sharing useful information, which is called eWOM. Like all other service industries, the tourism industry is characterized by difficulty in evaluating its values before it is experienced directly. And furthermore, most of the travelers tend to search for more information in advance from various sources to reduce the perceived risk to the destination, so they can also be influenced by online media such as online news. In this study, we suggested that the number of online media posting, which causes the effects of Word-of-Mouth, may have an effect on the number of outbound travelers. We divided online media into public media and private media according to their characteristics and selected online news as public media and blog as private media, one of the most popular social media in tourist information. Based on the previous studies about the eWOM effects on online news and blog, we analyzed a relationship between the volume of eWOM and the outbound tourism demand through the panel model. To this end, we collected data on the number of national outbound travelers from 2007 to 2015 provided by the Korea Tourism Organization. According to statistics, the highest number of outbound tourism demand in Korea are China, Japan, Thailand, Hong Kong and the Philippines, which are selected as a dependent variable in this study. In order to measure the volume of eWOM, we collected online news and blog postings for the same period as the number of outbound travelers in Naver, which is the largest portal site in South Korea. In this study, a panel model was established to analyze the effect of online media on the demand of Korean outbound travelers and to identify that there was a significant difference in the influence of online media by each time and countries. The results of this study can be summarized as follows. First, the impact of the online news and blog eWOM on the number of outbound travelers was significant. We found that the number of online news and blog posting have an influence on the number of outbound travelers, especially the experimental result suggests that both the month that includes the departure date and the three months before the departure were found to have an effect. It is shown that online news and blog are online media that have a significant influence on outbound tourism demand. Next, we found that the increased volume of eWOM in online news has a negative effect on departure, while the increase in a blog has a positive effect. The result with the country-specific models would be the same. This paper shows that online media can be used as a new variable in tourism demand by examining the influence of the eWOM effect of the online media. Also, we found that both social media and news media have an important role in predicting and managing the Korean tourism demand and that the influence of those two media appears different depending on the country.

A Study on the Development of Internet-based Information Services for the Older Adults (노인들을 위한 인터넷기반 정보서비스 구축에 관한 연구)

  • 장혜란
    • Journal of the Korean Society for information Management
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    • v.19 no.4
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    • pp.185-208
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    • 2002
  • Information service for the aged is a new challenge for public libraries in Korea. To develop an internet-based information service at public library perspectives, information sources, information need, and information seeking and using behavior are investigated. Interview survey is performed to 1060 adults aged 60 and over. Finding revealed that the respondents led to few channels to information except for mass media and informal oral communication. It ascertain ways in which 23% of the respondents currently use internet, and identify barriers of nonusers. The information need of the elderly are diverse, but health/medicine, news, hobbies, religion, leisure/travel are most identified need in descending order. Based on data analysis and previous research results, a cooperative service model consisting of information contents, online reference, interface design, and education is developed. Finally problems and suggestions for future improvement are discussed.

A Semantic Network Analysis of Big Data regarding Food Exhibition at Convention Center (전시컨벤션센터 식품박람회와 관련된 빅데이터의 의미연결망 분석)

  • Kim, Hak-Seon
    • Culinary science and hospitality research
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    • v.23 no.3
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    • pp.257-270
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    • 2017
  • The purpose of this study was to visualize the semantic network with big data related to food exhibition at convention center. For this, this study collected data containing 'coex food exhibition/bexco food exhibition' keywords from web pages and news on Google during one year from January 1 to December 31, 2016. Data were collected by using TEXTOM, a data collecting and processing program. From those data, degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of hospitality and destinations was high. In addition, the web visibility was also high for convention center programs, such as festival, exhibition, k-pop and event; hospitality related words, such as tourists, service, hotel, cruise, cuisine, travel. Convergence of iterated correlations showed 4 clustered named "Coex", "Bexco", "Nations" and "Hospitality". It is expected that this diagnosis on food exhibition at convention center according to changes in domestic environment by using these web information will be a foundation of baseline data useful for establishing convention marketing strategies.

A Study on the Semantic Network Analysis for Exploring the Generative AI ChatGPT Paradigm in Tourism Section (관광분야 생성형 AI ChatGPT 패러다임 탐색을 위한 의미연결망 연구)

  • Han Jangheon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.87-96
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    • 2023
  • ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.