• Title/Summary/Keyword: Tourism System

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Suggestions for Building Coast-Inland Linkage Transport System to Promote Island Tourism (도서관광 활성화를 위한 연안-내륙 연계교통체계 구축 방향)

  • Choi, Chang-Ho
    • Journal of Korea Port Economic Association
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    • v.28 no.2
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    • pp.43-59
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    • 2012
  • Recently, there has been a noticeable increase in the number of tourists in islands that are well-known for their natural landscapes. It is expected that this number will go up steadily, due to the increase in per capita income and leisure time. Regarding tourism transportation, utilizing linkage transport between coastal passenger terminal and inland transport system is crucial. However, the existing system does not measure up to the expectations. This is attributable to the fact that the distances between coastal passenger terminals and inland transportation terminals are too far. Also, the current public transportation system lacks support and needs to take the role of connecting the two terminals. This study shows how coast-inland linkage transport system should be reformed in order to promote island tourism. It focuses on building linkage transport system and minimizing walking distance. Also, adjusting passenger ship schedule to the characteristics of island tourism is needed. For the sake of passengers, coastal passenger ship fare should be reduced, and integrated transport information should be provided.

Study on the influencing factors of rural tourism behavior intention in China based on the theory of planned behavior (계획행동이론을 바탕으로 한 중국 농촌관광 행동의도 영향요인에 관한 연구)

  • He, Zhen hua;Sim, Jae yeon
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.207-224
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    • 2020
  • With the gradual improvement of China's residents' economic level, the continuous improvement of the holiday system, and the main purpose of relaxing mood and experiencing life, rural tourism has developed rapidly. In order to further achieve the goals of farmers' entrepreneurship, agricultural income increase, rural prosperity, and tourism management departments and tourism enterprises' management and operation objectives, this paper puts forward research hypotheses on the basis of relevant literature review and references. Based on the previous research results, this paper designs a questionnaire on Residents' rural tourism behavior intention, and uses SPSS23.0 to conduct correlation analysis and hypothesis test on the sample data, and draws the following conclusions: (1) rural tourism attitude, subjective norms, and perceived behavior control have a significant positive impact on rural tourism behavior intention; (2) policy system and resource conditions have a significant positive impact on rural tourism behavior intention; (3) policy system has a significant positive impact on subjective norms and perceived behavior control, and resource conditions have a significant positive impact on rural tourism attitude, subjective norms, and perceived behavior control.

Design of Deep Learning-based Tourism Recommendation System Based on Perceived Value and Behavior in Intelligent Cloud Environment (지능형 클라우드 환경에서 지각된 가치 및 행동의도를 적용한 딥러닝 기반의 관광추천시스템 설계)

  • Moon, Seok-Jae;Yoo, Kyoung-Mi
    • Journal of the Korean Applied Science and Technology
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    • v.37 no.3
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    • pp.473-483
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    • 2020
  • This paper proposes a tourism recommendation system in intelligent cloud environment using information of tourist behavior applied with perceived value. This proposed system applied tourist information and empirical analysis information that reflected the perceptual value of tourists in their behavior to the tourism recommendation system using wide and deep learning technology. This proposal system was applied to the tourism recommendation system by collecting and analyzing various tourist information that can be collected and analyzing the values that tourists were usually aware of and the intentions of people's behavior. It provides empirical information by analyzing and mapping the association of tourism information, perceived value and behavior to tourism platforms in various fields that have been used. In addition, the tourism recommendation system using wide and deep learning technology, which can achieve both memorization and generalization in one model by learning linear model components and neural only components together, and the method of pipeline operation was presented. As a result of applying wide and deep learning model, the recommendation system presented in this paper showed that the app subscription rate on the visiting page of the tourism-related app store increased by 3.9% compared to the control group, and the other 1% group applied a model using only the same variables and only the deep side of the neural network structure, resulting in a 1% increase in subscription rate compared to the model using only the deep side. In addition, by measuring the area (AUC) below the receiver operating characteristic curve for the dataset, offline AUC was also derived that the wide-and-deep learning model was somewhat higher, but more influential in online traffic.

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.

The Development of Medical Tourism Customer Satisfaction Evaluation Model and Application System (의료관광 고객만족도 평가모델 및 어플리케이션 시스템 개발)

  • Song, Eun-Jee;Kang, Min-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.911-914
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    • 2012
  • For competitiveness of national B2C (Business to Customer) service industry, improvement of process and analysis focused on customer and change of service system are needed. To achieve this goal, accurate feedbacks from customers play an important role; however, there is no quantitative and standard system in Korea. The medical tourism industry is taking center stage as a high value added industry among many other B2C service industries. In this paper, we suggest an evaluation model for customer satisfaction measurement about medical tourism industry and the application system on smartphone for that.

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A Study on the High-availability Linux Server for Multimedia Tourism Information System (멀티미디어 관광정보시스템을 위한 고가용성 리눅스 서버에 관한 연구)

  • Bae, Jae-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.9B
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    • pp.818-825
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    • 2004
  • High availability means Service-technology that can provide any solution when occur a problem in relation to hardware, software, network etc. We are in the times that the network computing service are essential to our daily life. So the importance of the high availability is being higher and higher in this social change such as the arrival of information anger times, e-commerce the extension of multi-media service etc. In this thesis, I analyzed about High-availability Linux Server for Multimedia Tourism Information System, and I proposed an alternative plan which related with its result.

Relationship between a Role Ambiguity·Conflict and Job Satisfaction, Job Performance on Role of Tourism Police Officers (관광경찰 역할에 대한 역할모호성·역할갈등과 업무만족, 업무수행도와의 관계)

  • Kim, Sang-Woon;Cho, Seung-A
    • The Journal of the Korea Contents Association
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    • v.15 no.1
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    • pp.132-139
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    • 2015
  • The tourism police force has been established on 16th October 2013 for foreign tourists' safety and security. The major roles of tourism police officers were provided a crime prevention patrol and maintenance of order in tourist destination, a clampdown on illegal activities for foreign tourists, a controlling for overcharging of restaurants accommodations taxi, an administrative guidance and controls on tourism industry and worker in union relative organ like the Ministry of Culture, Sports and Tourism local government. However, the roles of tourism police officers overlap the work of general police officers and work of tourism police officers need a cooperative business with relative organs. It is caused a role ambiguity conflict between tourism police officers and general police officers. The object of this study is to improve the tourism police system through investigate a perceived gap of role ambiguity conflict between tourism police officers and general police officers and influencing relationship of role ambiguity conflict between job Satisfaction and job Performance.

An Exploratory Study on the Relationship Between Tourism Motivations and On-line Tourism Information Search Behavior (관광동기와 인터넷 관광정보 검색간의 관계에 관한 탐색적 연구)

  • Nah Yoon-Jung;Lim Chae-Kwan;Park Bong-Gyu
    • The Journal of the Korea Contents Association
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    • v.5 no.5
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    • pp.202-210
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    • 2005
  • The public Information systems for destination marketing have poorly operated and failed to satisfy tourists' needs. Public tourism website mainly offers fundamental tourism information such as transportation, lodging and prime attractions, which is mainly specialized in commercial web sites, and fails to attract tourists. For the public benefits, marketing strategy publicl DMOs have to specialize their tourism information, and attract specific target markets. Thus, this study examined the effect of tourism motivations on information search behavior to figure out the importance of tourism information. The results show that the level of escapist motivation positively to the perceived importance of fundamental informations, and the level of activist motivation effects positively to the perceived importance of objective-specific informations. These results give show problems of regional tourism information site and implications are suggested.

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Effective Medical Tourism manager System Using Digital Management (디지털 경영학을 활용한 효율적인 의료관광 관리 시스템)

  • Park, Sung-Jun;Jo, Moon-Il;Kim, Hee-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.555-557
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    • 2018
  • The average lifespan of humans is expected to rise to 100 years, not 80 years, as a result of the advances in medical technology, and soon the age of 100 era is expected to open. The fourth industrial revolution, which is the core of the convergence, is emerging as a major issue in the modern society. Therefore, the importance of services along with medical technologies is increasing. Accordingly, medical tourism, a combination of medical technology and tourism, is emerging as a promising industry, and countries around the world classify the medical tourism industry as one of the core strategic industries and nurture it actively. In accordance with this, contents and marketing that can impress a user with a management strategy are developed and provided, but the management system maintains the existing ones, which is a limitation. Therefore, there is a need for an efficient medical tourism management system along with a user-oriented system such as marketing and contents.

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