• Title/Summary/Keyword: 테마관광지

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A Study for Promotion of the Stay Type Tourism in Ulsan by IPA Analysis Techniques (IPA분석을 통한 울산의 체류형 관광 활성화 방안 연구)

  • You, Young-Jun;Lee, Ji-Hun;Chung, Yoon-Jo
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.1-12
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    • 2019
  • The purpose of this study is to explore ways to promote the stay type tourism in Ulsan. To achieve this, IPA analysis techniques were applied to survey the importance and performance of experts, tourists, and hotel users, and measures were developed for activation of common points among the groups. Most studies analyze the survey results of a group, but this study compared and analyzed the results among three groups of experts, tourists, and hotel users, resulting in areas requiring activation. According to the results of each group, 'cultural facilities' were selected as the attraction factor, and 'night tours' were chosen as the basic factor to improve. On the other hand, tourist attractions, clean environment and urban parks have been selected as implementation factors, which correspond to the "ecological tourism," one of Ulsan's five-color themes. According to the ranking, the three groups of experts, tourists, and hotel users were able to look at the results of priority items that were selected up to the third place, although there were no exact matching factors. The items selected by both groups were diversification of night viewing, traffic accessibility in tourist sites, and improvement of night scenery, operation of night experience programs, extension of night opening hours, and revitalization of night markets respectively.

The Effects of Tourism Storytelling using Local Cultural Assets on Behavior Intention: focusing on Namwon (지역문화자산을 활용한 관광스토리텔링이 행동의도에 미치는 영향: 남원을 중심으로)

  • Park, Ju-Yeon;Kwon, Hyeg-In
    • The Journal of the Korea Contents Association
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    • v.21 no.8
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    • pp.89-107
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    • 2021
  • This study began with the problem of establishing the identity of the region through tourism storytelling and the need for economic and cultural recovery. Thus, we analyze the attributes of tourist-aware tourism storytelling, authenticity through experience in tourist attractions, and structural and causal relationships between behaviors. Studies have shown that the attributes of tourism storytelling's sensibility, educationality, ease of understanding, interest and theme have a significant impact on tourists' authenticity experiences. And it was confirmed that the authenticity experience of tourists has a positive impact on tourists' intentions of visiting and oral intentions. This study is of high academic significance in that it applied the attributes of storytelling, which had been studied in the existing linguistics and humanities, to Namwon, a representative cultural tourist destination in Korea. In addition, in order for Namwon to grow into a global cultural tourist destination, it is necessary to develop tourism storytelling using unique storytelling attributes and local resources, and furthermore, it is meaningful to suggest that various contents and services should be developed.

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.

A Study on Users' Recognition of Selection Attributes for Connection between Recreational Forest and Rural Tourism Village (자연휴양림과 체험마을 연계를 위한 이용객의 선택속성 인식 연구)

  • Lee, Yong-hak;Cho, Yeong-Eun;Kang, Eun-jee;Kim, Yong-Geun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.44 no.1
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    • pp.16-28
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    • 2016
  • The study was conducted to compare and analyze the importance and performance of leisure destination selection attributes of persons who use recreational forests and rural tourism villages. This researcher investigated the use patterns of users to identify the ground for connection between recreational forest and rural tourism village, analyzed their recognition differences in physical selection attribute, program selection attribute, and service selection attribute in order for leisure destination selection, and conducted importance-performance analysis(IPA analysis) to draw a plan for connection. The main results and suggestions are presented as follows. First, recreational forests were visited by family users in order for rest and emotional cultivation and provided experience programs using simple public interest function of forest, whereas rural tourism villages were visited by family users, friends and co-workers, groups and club members to experience a variety of annual programs and understand regional cultures. It was found that it was necessary to connect natural forest with rural tourism village in order to meet the leisure needs of the people changed in diversified ways. Secondly, it was found that the connection between rural tourism village and recreational forest visited mainly for simple rest led to positive visit intention of users. It was expected that there will be various kinds of uses, including experience program participation, child education, and safe accommodations security. In other words, the connection between recreational forest and rural tourism village is an alternative to trigger actual demands and recreational forest activities with high quality. Thirdly, in the case of users of recreational forests, their performance of all selection attributes was lower than their importance of them. Therefore, overall improvements were needed. In particular, needed were the diversity, benefit, and promotion of programs, improvements in locality(themes), supply of lodges and convenient facilities, booking system, the purchase system of local special products, and professional skills of operators and managers. On contrary, the performance of program selection attribute of rural tourism village was high. Therefore, it was found that program attribute of rural tourism village was the main connection factor to activate recreational forest use. Fourthly, according to IPA analysis, the proper connections between loges, convenient facilities, and nearby touristattractions, which give high expectations and satisfaction to users, needed to remain. And it was required to make common efforts to accomplish the goal (income creation) of rural tourism village and improve booking system for visitors and performance of local special products sales opportunity. In addition, the essential factors to induce users' leisure destination selection were found to be maintenance of the use fee system of recreational forest, diversity of rural tourism village program, and retention of locality.

Analysis of the Landscape Characteristics of Island Tourist Site Using Big Data - Based on Bakji and Banwol-do, Shinan-gun - (빅데이터를 활용한 섬 관광지의 경관 특성 분석 - 신안군 박지·반월도를 대상으로 -)

  • Do, Jee-Yoon;Suh, Joo-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.2
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    • pp.61-73
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    • 2021
  • This study aimed to identify the landscape perception and landscape characteristics of users by utilizing SNS data generated by their experiences. Therefore, how to recognize the main places and scenery appearing on the island, and what are the characteristics of the main scenery were analyzed using online text data and photo data. Text data are text mining and network structural analysis, while photographic data are landscape identification models and color analysis. As a result of the study, First, as a result of frequency analysis of Bakji·Banwol-do topics, we were able to derive keywords for local landscapes such as 'Purple Bridge', 'Doori Village', and location, behavior, and landscape images by analyzing them simultaneously. Second, the network structure analysis showed that the connection between key and undrawn keywords could be more specifically analyzed, indicating that creating landscapes using colors is affecting regional activation. Third, after analyzing the landscape identification model, it was found that artificial elements would be excluded to create preferred landscapes using the main targets of "Purple Bridge" and "Doori Village", and that it would be effective to set a view point of the sea and sky. Fourth, Bakji·Banwol-do were the first islands to be created under the theme of color, and the colors used in artificial facilities were similar to the surrounding environment, and were harmonized with contrasting lighting and saturation values. This study used online data uploaded directly by visitors in the landscape field to identify users' perceptions and objects of the landscape. Furthermore, the use of both text and photographic data to identify landscape recognition and characteristics is significant in that they can specifically identify which landscape and resources they prefer and perceive. In addition, the use of quantitative big data analysis and qualitative landscape identification models in identifying visitors' perceptions of local landscapes will help them understand the landscape more specifically through discussions based on results.