• Title, Summary, Keyword: Attractions

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The Place Characteristics of City Tourist Attractions in Seoul - Focusing on the Contents Analysis of Tourist Guidebooks - (서울 도시탐방명소의 장소적 특성 - 관광안내문헌 분석을 중심으로 -)

  • Park, Su-Ji;Kim, Han-Bai
    • Journal of the Korean Institute of Landscape Architecture
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    • v.41 no.4
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    • pp.42-55
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    • 2013
  • The purpose of this study is to figure out the place characteristics of preferable city tourist attractions through the contents analysis of non-academic literatures such as tourist guidebooks and web materials. The most preferable Seoul tourist attractions were selected by their frequency in literatures including Namsan and Hangang as 'natural' places, Dugsu Palace and Gyungbok Palace as 'historical' places, Itaewon and Daehak-ro as 'lively-cultural' places that were classified by their relativistic character. The main findings of the research are as follows. The essential place characteristics of tourist attractions were synthesized in urban, regional and place scale respectively. While 'contrast' was found to be the most distinguished character of the tourist attractions in the urban context, 'connectivity' was found to be the most distinguished character of the tourist attractions in the regional context. In addition, both 'visibility' and 'experience' were found to be the most distinguished characters of the tourist attractions in the place context. The characteristics of these places seem to be the universal fascination factors of city tourist attractions currently recognized by ordinary citizens. We expect to further strengthen the city identity and the city tourism effect by adopting those research results systematically to the urban environment. Therefore, it is needed to vitalize the urban tourist attractions that we make them to be more 'contrasting' with urban areas surrounding them, more 'connective' with vicinity areas and more 'visibly fascinating' and 'experienced actively and meaningfully' in each place of tourist attractions.

Study on Location Characteristics and Establishment Time of Cherry-blossom Attractions in the Modern Era Busan (근대 부산에서 벚꽃 명소의 입지적 특성과 성립 시기에 관한 연구)

  • Kang, YoungJo
    • Journal of the Korean Institute of Landscape Architecture
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    • v.44 no.5
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    • pp.47-58
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    • 2016
  • In modern era Busan, newspaper articles about cherry blossom attractions from FuzanNippo and ChosenJiho have changed from places of landmark cherry trees to recreational activities under the cherry blossom. This means that the place characteristics of the cherry blossom attractions helped transform modern Busan. This study is to clarify the real image of the cherry blossom attractions where they were and when it was established in modern Busan. In order to discuss the location characteristics and the timing of identification as it changed from cherry-blossom viewing spots to picnic spots under the cherry blossom, current articles published in the FuzanNippo and ChosenJiho were collected. This study results are as follows: First of all, cherry blossom attractions are located in private gardens, gardens at hot spring inns, public lands such as schools, temples, reservoirs and malls such as Dongnae hot spring and the Midoricho red-light district. The location feature was that they were found at the edges of settlement environments, at the interface of city and natural spaces in modern Busan. Secondly, newspaper articles about cherry blossom attractions gradually changed from cherry blossom viewing spots to picnic spots under the cherry blossom, which became the peak of the cherry blossom attractions in modern Busan. The main focus of cherry blossom attractions changed from cherry-blossom viewing to picnicking under cherry blossoms around 1920. This means that the establishment of cherry blossom attractions can be seen around 1920. Articles of cherry-blossom viewing picked up sites not easy to access such as private gardens and reservoirs, articles about picnic spots under cherry blossoms noted public places that everyone could access. Cherry blossom attractions sites became spring resorts in modern Busan.

Destinations analytics with massive tourist-generated content: Applying the Communication-Persuasion Paradigm

  • Hlee, Sun-Young;Ham, Ju-Yeon;Chung, Nam-Ho
    • The Journal of Information Systems
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    • v.27 no.3
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    • pp.203-225
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    • 2018
  • Purpose This study investigated the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. Design/methodology/approach This study investigates the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. This study selected two hedonic and utilitarian attractions (Hedonic: Brandenburg Gate, Utilitarian: Peragamon Museum) located in Berlin. A total of 3,320 reviews was collected from TripAdvisor. We divided online reviews posted for these places into reviews with more affective language and with more cognitive language by using the LIWC. Then, we investigated the impact of language effect on review helpfulness across the attraction type. Findings The findings suggest that peers tend to judge more helpful toward cognitive language in attraction reviews regardless of attraction type. This study found that peers tend to perceive more helpful toward cognitive review in utilitarian attractions. Even though there was an interaction effect between review language and attraction type, in hedonic attractions, the influence of cognitive language was reduced, but still cognitive reviews would get more helpful votes.

Deep Learning-based Tourism Recommendation System using Social Network Analysis

  • Jeong, Chi-Seo;Ryu, Ki-Hwan;Lee, Jong-Yong;Jung, Kye-Dong
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.113-119
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    • 2020
  • Numerous tourist-related data produced on the Internet contain not only simple tourist information but also diverse ideas and opinions from users. In order to derive meaningful information about tourist sites from such big data, the social network analysis of tourist keywords can identify the frequency of keywords and the relationship between keywords. Thus, it is possible to make recommendations more suitable for users by utilizing the clear recommendation criteria of tourist attractions and the relationship between tourist attractions. In this paper, a recommendation system was designed based on tourist site information through big data social network analysis. Based on user personality information, the types of tourism suitable for users are classified through deep learning and the network analysis among tourist keywords is conducted to identify the relationship between tourist attractions belonging to the type of tourism. Tour information for related tourist attractions shown on SNS and blogs will be recommended through tagging.

Big Data based Tourist Attractions Recommendation - Focus on Korean Tourism Organization Linked Open Data - (빅데이터 기반 관광지 추천 시스템 구현 - 한국관광공사 LOD를 중심으로 -)

  • Ahn, Jinhyun;Kim, Eung-Hee;Kim, Hong-Gee
    • Management & Information Systems Review
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    • v.36 no.4
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    • pp.129-148
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    • 2017
  • Conventional exhibition management information systems recommend tourist attractions that are close to the place in which an exhibition is held. Some recommended attractions by the location-based recommendation could be meaningless when nothing is related to the exhibition's topic. Our goal is to recommend attractions that are related to the content presented in the exhibition, which can be coined as content-based recommendation. Even though human exhibition curators can do this, the quality is limited to their manual task and knowledge. We propose an automatic way of discovering attractions relevant to an exhibition of interests. Language resources are incorporated to discover attractions that are more meaningful. Because a typical single machine is unable to deal with such large-scale language resources efficiently, we implemented the algorithm on top of Apache Spark, which is a well-known distributed computing framework. As a user interface prototype, a web-based system is implemented that provides users with a list of relevant attractions when users are browsing exhibition information, available at http://bike.snu.ac.kr/WARP. We carried out a case study based on Korean Tourism Organization Linked Open Data with Korean Wikipedia as a language resource. Experimental results are demonstrated to show the efficiency and effectiveness of the proposed system. The effectiveness was evaluated against well-known exhibitions. It is expected that the proposed approach will contribute to the development of both exhibition and tourist industries by motivating exhibition visitors to become active tourists.

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A Study on Tourism Resource Strategy of Film Location using Social Bigdata based on SNS Trend Analysis of Jeonju Area (소셜 빅데이터를 활용한 영화촬영지 관광자원화 방안 -전주 지역의 관광체험 SNS 동향 분석을 토대로-)

  • Park, Ji-Yeong;Kim, Geon;Kim, Chan-Young;Oh, Hyo-Jung
    • The Journal of the Korea Contents Association
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    • v.16 no.11
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    • pp.477-487
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    • 2016
  • In 1995, the filming location of the drama had been famous, and as a result it brings the effect of increasing tourists of that areas. After that, many local governments try to host the filming on their regions to be potential tourist attractions. With the same stream, Jeonju also has attempted to host International Film Festival and to set up Jeonju Film Commission and Jeonju Cinema Complex. However, although the city already has rich infrastructure facilities to make films, the city hardly tries to use the filming locations as tourist attractions. This study suggests four ways of using filming locations as tourist attractions to activate Jeonju economy and improve Jeonju's cultural image. We firstly collect social bigdata related with tourists of filming locations and tourist attractions in Jeonju from Twitter, which is the most representative SNS, and then perform frequency and trend analysis. We also investigate major factors of visits to tourist's attractions based on content analysis of tweet mentions.

The Influence of SNS Characteristics on Tourist Attractions Preference : Focus on China

  • Yu, Wang;Lee, Jong-Ho;Kim, Hwa-Kyung
    • Journal of Distribution Science
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    • v.12 no.9
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    • pp.53-63
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    • 2014
  • Purpose - The rapid spread of SNS and increase of SNS users have heralded great changes in the tourism industry. Therefore, this study focused on how SNS characteristics- usefulness, convenience, interactivity, and intimacy - influence diffusivity, reliability and, consequently, user's preference for tourist attractions. Research design, data, and methodology - This study is designed not only to collect data with a questionnaire survey but also to test hypotheses with SEM by SPSS 18.0 and AMOS 18.0. Results - Usefulness, interactivity, and intimacy positively affect diffusivity, whereas convenience does not positively affect diffusivity. In addition, intimacy has a negative influence on reliability. However, diffusivity and reliability have positive impacts on the preference for tourist places. Conclusions - Certain characteristics of SNS facilitates the spreading of SNS tourist information. Usability and interactivity have positive impacts on the reliance of tourist information. Better communication can enhance the reliance of travel information. The influence of spreading tourist information has a positive influence on its reliance. Extension and reliance can have positive effects on the preference for tourist attractions.

Influences on Tourist Attraction Image of Jeju and Behavior Intention of Media (영상물의 제주도 관광지 이미지와 행동의도에 대한 영향)

  • Lee, Jong-Joo;Jung, Min-Eui
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.494-506
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    • 2013
  • Media like TV programs and movies has deeply rooted in the public and it can supply affluent informations on special tourist attractions during short time relatively. Media can make the image of special objects and destinations recreated and viewers induced to the special places. Because of these positive effects, many countries and self governing bodies having tried place marketing through media have done their best to raise the image of their tourist attractions and induce a visit. So, most of studies about the effect relations between media and tourist attractions have been done about the confirmation of the impact relation between media and the image raising of tourist attractions and between media and the tourists's visit inducement. This study reconfirms the results of the existing studies and confirms whether the difference of media program genre causes that of the impact relation between media and the image raising of tourist attractions and between media and the tourists's visit inducement. In order to confirm these purposes, 3 assumptions are established and are proved through statistical analyses based on a questionnaire. According to the results of these analyses, all of 3 established assumptions : assumption 1, the impact relation between media program genres and the image of tourist attraction, assumption 2, the impact relation between the image of tourist attractions and behavior intention, and assumption 3, the impact relation between media program genres and behavior intention, are partly accepted.

Automatic Recommendation of Nearby Tourist Attractions related to Events (이벤트와 관련된 주변 관광지 자동 추천 알고리즘 개발)

  • Ahn, Jinhyun;Im, Dong-Hyuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.3
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    • pp.407-413
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    • 2020
  • Participating in exhibitions is one of the major activities for tourists. When selecting their next travel destination after participating in an event, they use map services and social network services, such as blogs, to obtain information about tourist attractions. The map services are location-based recommendations, because they can easily retrieve information regarding nearby places. Blogs contain informative content about tourist attractions, thereby providing content-based recommendations. However, few services consider both location and content. In location-based recommendations, tourist attractions that are not related to the content of the event attended might be recommended. Content-based recommendation has a disadvantage in that events located at a distance might get recommended. We propose an algorithm that considers both location and content, based on information from the Korea Tourism Organization's Linked Open Data (LOD), Wikipedia, and a Korean dictionary. By extracting nouns from the description of a tourist attraction and then comparing them with nouns about other attractions, a content-based relationship is determined. The distance to the event is calculated based on the latitude and longitude of each tourist attraction. A weight selected by the user is used for linear combination with the content-based relationship to determine the preference order of the recommendations.

Exploratory Research on Dualism Structure of Tourism Alliance Network

  • Joun, Hyo-Kae;Cho, Nam-Jae
    • Proceedings of the Korea Database Society Conference
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    • pp.477-486
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    • 2008
  • This paper examines the evolution issues of regional tourism resources in complicated and networked industry the perspective of co-evolution types and dualism. Regional tourism structure has been changing more and faster according to various attractions and internal and external environment; natural resources, facilities, festivals and events, drama and movies, and public resources, etc. This paper approaches Olikowski's dualism perspective as a theoretical view about the alliance network between region's attractions and tourism industry in Korea. Exploratory analysis was explained the dualism cases performed on the matrix between resource characteristics and alliance complexity on human resources based on regional tourism industry.

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