• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.572-587
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• 2021

Recently, cultural urban regeneration is emerging as a topic of cultural tourism. This study aims to understand the effect of brand experience on integrity, re-visit intention focus on the case of culture-led urban regeneration visitor. Therefore, in this study, we selected GuCheng, which is a representative successful case of cultural tourism in China, and we surveyed people who had visited ancient China's foetus. The results of path coefficient analysis and hypothesis testing determined that sensory experience, affective experience, intellectual experience positively impacted integrity. And the significant effect of affective experience, intellectual experience has been found on re-visit intention. The moderation effect of nostalgia has been investigated and the results revealed that nostalgia has significant moderation effect among brand experience, integrity and re-visit intention. Our research findings offer insights for GuCheng culture-led urban regeneration. And this study investigated Chinese visitor, which could offer theoretical implication for future study.

• Knowledge Management Research
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• v.23 no.1
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• pp.187-201
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• 2022

Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.339-346
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• 2018

The purpose of this study is to examine how visitors' recognition on cultural tourism festivals influences festival satisfaction and festival effects and suggest plans for operating the festivals. To address the goal, this author conducted a survey to visitors of memorable Chungjang Festival, and 441 sheets were finally used for positive analysis. According to the analysis results, the factors of recognition on cultural tourism festivals were divided into those related to recognition on tourism and recognition on culture, and these recognitions influence festival satisfaction and festival effects. Based on the results, this researcher suggests that it is important for those operating the festivals to make efforts to enhance tourism convenience for visitors and also develop programs which can allow visitors to learn about the unique culture of the region closely.

• Journal of Korean Society of Transportation
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• v.24 no.6 s.92
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• pp.103-117
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• 2006

This study develops an agent-based simulation model to evaluate tourist information systems under ubiquitous environment. In this study, individual tourist's activity chaining behavior is formulated as a utility maximization problem. The underlying assumption of the model is that tourists increase their activities within their time and budget constraints to maximize their utilities. The model seeks individual's optimal tour schedule by solving Prize-Collecting Multiple-Day Traveling Salesman Problem(PC MD TSP). The simulation-based evaluation framework allows investigating individual utility gains by their information type and the total expenditure at each tour attractions. The real-time tour activity scheduling system enables tourists to optimize their tour activities by minimizing their time loss and maximizing their opportunity to use high utility facilities.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.773-776
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• 2007

지방자치단체는 지방자치제 실시이후로 많은 지역축제가 개최되어 왔으나, 대부분의 소재가 특산물와 자연환경을 소재로하여 개최되었다. 다른 요소들보다 지역축제의 소재를 찾기 쉬운 점에서 눈에 보이는 소재를 이용했다고 볼 수 있지만, 지역축제를 개최하는 데 있어 소재에 대한 중요성이나 파급효과에 대한 심도있는 자기 지역만의 특색있는 소재를 찾는 노력에서는 문제점을 지적하지 않을 수 없다. 자기 지역을 대표할 수 있고, 다른 지역에서 흉내낼 수 없는 자기 고장만의 소재만이 관광객을 지속적으로 유치할 수 있는 유인요소가 될 것이기 때문이다. 따라서, 본 연구에서는 문학작품과 관련된 소재를 개발하고, 관광객을 유치할 수 있는 방안을 제시하는 데 목적이 있다.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.735-745
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• 2013

Tour industry has been growing with increasing of people leisure time quantitatively as well as qualitatively. Especially, region tourist industry shows rapid growth because of the development of transportation and communication. Tourist contents that representing the region have been developing briskly. However there are many nominal tourist contents have just region differentiation with same attribute and composition. It has to be consider about tourist first not a contents provider or a developer. To be memorable tourist contents and to connect to consumption, understanding about tourist is needed. So 'Experience' will be standards when tourist contents is planned. In that sense, experience 4factors from Experience Economy and Challenge-skill model from Flow will be frames for giving shape to develop tourist contents. Experience 4factors from Experience Economy suggests 4factors for the superb enjoyment to tourists, and Challenge-skill model from Flow proposes balanced contents for understanding tourists. They will contribute to suggest planning frames for sustainable tourist contents and it lead to tourists' reinstation.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.43-46
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• 2019

관광지에 대한 관광객의 평가는 날씨, 계절, 관광객의 밀집 정도 등 다양한 환경적 요소에 따라 변화한다. 각 관광지는 객관적인 관점으로 최상의 관광을 경험하게 할 고유한 컨디션이 존재하며 이를 추출하기 위해선 관광에 영향을 주는 여러 환경들에 대한 다중 요인 분석이 가능할 만큼의 정보가 필요하다. 본 논문에서는 심층신경망을 기반으로 한 문장분석기술을 응용하여 관광지 리뷰에 적용, 평점이 포함되지 않은 리뷰에 평점을 추가하여 기상이나 계절, 휴무일 등의 다양한 분류가 가능할 수준의 데이터를 보충하고 축적/보충된 방대한 평점데이터를 토대로 맞춤 추천이 가능하도록 하는 시스템을 설명한다. 이에 본 논문은 학습 환경 구축, 리뷰와 기상 정보의 결합, 최종 추천 방법 등 전반적인 프로세스에 대한 내용을 설명한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.379-380
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• 2019

문화유산이 많은 지역의 경우 관광산업이 지역경제에서 차지하는 비중이 크기 때문에 문화유산을 활용한 지역관광 활성화가 중요한 이슈 중 하나이다. 본 논문은 관광객 유도를 위해 문화유산을 활용한 체험형 콘텐츠를 제공하여 관광 경험을 향상할 필요가 있어 모바일 증강현실을 기반으로 한 역사탐방 게임 플랫폼을 제안한다. 제안하는 플랫폼은 고대 백제의 왕도였던 부여를 배경으로 증강현실로 구현된 역사 속 인물과 만나며 문제를 해결해나가는 방식의 게임 플랫폼으로, 관광객에게 디지털 경험을 제공하여 문화유산의 가치 재발견과 지역관광 활성화를 꾀하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1414-1417
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• 2011

의료관광은 관광객의 체류기간이 길고 소비지출이 크기 때문에 21세기의 새로운 고부가가치 산업으로 인식되고 있다. 이미 인도,태국,싱가포르 등은 의료관광산업을 국가전략산업으로 지정하여 연간 수십만명의 해외의료관광객이 찾아 높은 수익을 얻고 있다. 또한 정보기술을 활용하여 온라인 상담을 통한 치료상담, 항공,숙박 예약등을 지원하는 시스템을 갖추고 있다. 우리나라는 의료관광 발전의 가능성이 높고 IT강국이라 알려져 있음에도 불구하고 의료관광 운영을 위한 IT솔루션이 거의 전무한 상태이다. 본 연구에서는 최근 국가의 고부가가치 산업으로 인식되고 있는 의료관광에 IT정보기술을 활용한 의료관광 정보시스템 개발을 위하여 요구분석을 하고 이에 필요한 시스템 구성요소를 제안한다.

• Journal of the Korean association of regional geographers
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• v.11 no.4
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• pp.497-510
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• 2005

The purpose of this study was to examine the image similarity, preference, and the attribute recognition using multidimensional scaling. The analyses were carried out by 5 spa destinations located in Choongchung area. The results were as followings: first, considering the image similarity, the image of Suanbo & Onyang and Dogo & Asan were similar except for the Yusung. Second, considering the attribute recognition, Yusung had a stronger attribute reflecting spa tradition when compared to other competitive spa destinations. Onyang showed a strong attribute of facilities. Dogo had a stronger point about use cost. Suanbo had relatively strong attributes in terms of facilities, customer service, and accessability. However, the water quality of spa destination and activities were not reflected in attribute recognition because these two attributes was farthest from the spa destination. Third, considering the preference of selecting spa destinations, package tourists had a strong preference about Yusung, individual tourists, family, incentive tourists prefer Suanbo, followed by Dogo and Yusung. Group tourists had a strong preference about Dogo.