• Title/Summary/Keyword: 관광객 예측

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Research regarding mobile service fusion technology and develpement on jeju area (제주 지역의 모바일서비스 융합 및 발전방향 연구)

  • Im Gi-Duck;Lee Dong-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.672-674
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    • 2006
  • Information and communication technology joins in and with development the mobile service pattern which the tourist uses is various and it is changing. Jeiu area is the domestic maximum tourist resort which the annual 5 million visit. The mobile service pattern change from mobile market predition does to be possible. Research analysis against sightseeing industry which is major industry and a mobile service market it led from the research which it sees location base and the mobile fusion technology.

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A Study on the Estimate and Characteristics of Recreational Use in Mt. Kyeryong National park (계룡산(鷄龍山) 국립공원(國立公園)의 레크리에이션 이용특성(利用特性) 및 이용객(利用客) 예측(豫測)에 관(關한) 연구(硏究))

  • Seong, In Kyeong;Cho, Eung Hyouk
    • Journal of Korean Society of Forest Science
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    • v.77 no.3
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    • pp.322-330
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    • 1988
  • This study was analyzed the behavior of recreational use through interviewing visitors with the questionnaire (1986.11-1987.9) in Mt. Kyeryong National Park. The number of visitors have been forecasted by tune series data of the past number of visitors, population, GNP, and number of cars (1974-1986) in korea. The results of the study can be summarized as follows : 1) Visitor's subjective evaluation about recreational environment evaluated to be fair in Mt. Kyeryong National Park. 2) They preferred natural forest resources to historic remains, tourist facility, etc.. 3) Number of participation was mostly once or five times over. 4) Visitors were affirmative to re-visit to the Mt. Kyeryong National Park. 5) Most of visitors stay for one day. 6) The most suitable estimated user regression model was : Y=-5753.7350+0.1726 Pop. -0.6564 NO. of Car. According to this equation, the total number of visitors will he increased by 3% per year from 1,023 thousands people in 1987 to 1,698 thousands in 2000.

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Study on Tourism Demand Forecast and Influencing Factors in Busan Metropolitan City (부산 연안도시 관광수요 예측과 영향요인에 관한 연구)

  • Kyu Won Hwang;Sung Mo Nam;Ah Reum Jang;Moon Suk Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.7
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    • pp.915-929
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    • 2023
  • Improvements in people's quality of life, diversification of leisure activities, and changes in population structure have led to an increase in the demand for tourism and an expansion of the diversification of tourism activities. In particular, for coastal cities where land and marine tourism elements coexist, various factors influence their tourism demands. Tourism requires the construction of infrastructure and content development according to the demand at the tourist destination. This study aims to improve the prediction accuracy and explore influencing factors through time series analysis of tourism scale using agent-based data. Basic local governments in the Busan area were examined, and the data used were the number of tourists and the amount of tourism consumption on a monthly basis. The univariate time series analysis, which is a deterministic model, was used along with the SARIMAX analysis to identify the influencing factor. The tourism consumption propensity, focusing on the consumption amount according to business types and the amount of mentions on SNS, was set as the influencing factor. The difference in accuracy (RMSE standard) between the time series models that did and did not consider COVID-19 was found to be very wide, ranging from 1.8 times to 32.7 times by region. Additionally, considering the influencing factor, the tourism consumption business type and SNS trends were found to significantly impact the number of tourists and the amount of tourism consumption. Therefore, to predict future demand, external influences as well as the tourists' consumption tendencies and interests in terms of local tourism must be considered. This study aimed to predict future tourism demand in a coastal city such as Busan and identify factors affecting tourism scale, thereby contributing to policy decision-making to prepare tourism demand in consideration of government tourism policies and tourism trends.

Research on Service Design Model of Sharing Economy (공유 경제 서비스 모델 연구)

  • Xuan, yao-wei
    • Proceedings of the Korea Contents Association Conference
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    • 2019.05a
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    • pp.327-328
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    • 2019
  • 에어비앤비, 우버택시 등과 같이 공유경제 패러다임을 반영한 새로운 차원의 서비스 비즈니스의 확산은 IT기술을 기반으로 하는 스마트 네트워크 보급에 다른 제품의 서비스화가 일반화되었기 때문이다. 공유경제라는 새로운 패러다임 하에서 제품 공유와 관련된 서비스 시스템의 디자인 응용을 연구하는 것은 갈수록 중요해지고 있으며, 공유경제를 기반으로 하는 서비스 디자인이 스마트 네트워크와 융합을 통해 자원 활용을 높이고 낭비를 줄이며, 사용자의 다양한 생활 체험과 가치 있는 수요를 보장해줄 수 있기 때문이다. 본 연구는 기존의 서비스 디자인에 관한 문헌 정리와 디자인 실무를 통해 고찰한 서비스 디자인 개념을 바탕으로, 부산을 방문하는 외국인 고객을 대상으로, 예측하기 힘든 특수한 날씨환경에서 우산 사용에 대한 사용자의 니즈와 수요를 조사하고 분석하여, 보다 개선되고 창의적인 "공유우산 서비스 디자인 모형"을 구축하고자 하였다. 이를 위하여 서비스 디자인 방법과 원칙에 따라 우산을 공유하는 서비스 시스템의 목표고객, 접점을 분석한 후, 외국인 관광객을 위한 서비스 시스템의 서비스 청사진을 만들고 우산공유 시스템 구축과 실무적용을 위한 서비스 전략을 제시할 계획이다.

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A Study on the Influence Factor Relationship of the Railway Tourism Policy for Job Satisfaction (철도관광정책 직무만족도 영향요인 연계성 분석)

  • Kim, Jung-Phyung
    • Journal of the Korean Society for Railway
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    • v.18 no.4
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    • pp.391-400
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    • 2015
  • This research used a survey of 350 staff members working at Korail with the purpose of analyzing influence factors for the railway tourism policy for job satisfaction; results were presented for the proposed factor. First, we selected the influence factor through precedent research related to the railway tourism policy. Second, the selected influence factor and the extent of satisfaction were used to determine whether or not any kind of difference existed according to individual attributes of the railway employees. Finally, we analyzed what the influence factor was between the category factor and the sub-category factor. In conclusion, it was found that government subsidy had a meaningful correlation with infrastructure expansion and the improvement of the railway business as it is connected to tourism efficiency. Human resources have a meaningful correlation with the needs of educational institutions and the retaining of talent. Railway tourism production has a meaningful correlation with railway tour production as it is conducted to satisfy tourists and the consortium. The shift of viewpoint has a meaningful correlation with the escape from the peace-at-any price principle and demand forecasting.

A Dynamic Investigation of iBeacon Adoption at Tourism Destination (관광지에서의 iBeacon 도입에 대한 동태적 분석)

  • Choedon, Tenzin;Lee, Young-Chan
    • Journal of Industrial Convergence
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    • v.16 no.2
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    • pp.1-14
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    • 2018
  • The interconnectedness of all things is continuously expanding. For example, bluetooth low energy (BLE) beacons are wireless radio transmitters that can send an identifier to nearby receivers and trigger a number of applications, from proximity marketing to indoor location-based service. iBeacon technology which is one of the newest technologies in the smart tourism field, is reckoned as being very useful for travelers in enhancing the experience with visiting places. However, there is consequently not much existing research yet about the connection between iBeacon technology and tourism destination. Considering that, this study analyzes the adoption of iBeacon in tourism destination, this study examine the interrelationships and feedback structures of key factors in iBeacon adoption. To serve the purpose, this study used system dynamics approach to develop a model of iBeacon adoption in tourism destination. The analysis results showed that the concept of 'Social Influences' is one of the significant predictors for individual's intention behavior to accept iBeacon, and word of mouth (WOM), subjective norm, privacy concern, and perceived usefulness are key factors influencing the iBeacon adoption.

Analyses of Consumer Preferences and Perceptions Regarding Activation of Yacht Tourism Industry (요트관광산업의 활성화를 위한 소비자 선호도 및 인식도 조사)

  • Cho, Woo-Jeong
    • Journal of Navigation and Port Research
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    • v.36 no.5
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    • pp.401-407
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    • 2012
  • The purpose of this study was to examine the preferences to yacht tourism and perceptions to importance of yacht tourism industry's activation strategies from consumers perspectives. In order to such a purpose, this study employed survey methodology with a total of 300 visitors to yacht facility and beach located in B metropolitan city. With 265 usable questionnaires, data collected were analyzed using descriptive statistics such as frequency, percentage, mean and standard deviation. Accordingly, following findings were derived from current study. First, 32% of participants had yacht tourism experiences and more than 64% of them had willing to purchase yacht tourism products in the future, which indicates optimistic increases in yacht tourism demand. In addition, amount of willingness to pay for yacht tourism was less than 100 thousand Won per day. Second, the most preferred product was a yacht training and experience program, and preferred time for yacht tourism was weekend and or vacation with the period of one day or one night and two days. The main motivation was to spend leisure time and enjoyment with accompanying persons of family or friend members. Third, consumers' restriction factors included high expenditures, time consuming and lack of various yacht tourism products but their selection attributes included low expenditures, associated tourism products and quality of yacht tourism products. Finally, the most important activation strategies included the development of yacht tourism products, building yacht tourism conditions and establishing marketing strategies, but the least important activation strategies from consumers views included policies, experts and facilities.

Development of a Resort's Cross-selling Prediction Model and Its Interpretation using SHAP (리조트 교차판매 예측모형 개발 및 SHAP을 이용한 해석)

  • Boram Kang;Hyunchul Ahn
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.195-204
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    • 2022
  • The tourism industry is facing a crisis due to the recent COVID-19 pandemic, and it is vital to improving profitability to overcome it. In situations such as COVID-19, it would be more efficient to sell additional products other than guest rooms to customers who have visited to increase the unit price rather than adopting an aggressive sales strategy to increase room occupancy to increase profits. Previous tourism studies have used machine learning techniques for demand forecasting, but there have been few studies on cross-selling forecasting. Also, in a broader sense, a resort is the same accommodation industry as a hotel. However, there is no study specialized in the resort industry, which is operated based on a membership system and has facilities suitable for lodging and cooking. Therefore, in this study, we propose a cross-selling prediction model using various machine learning techniques with an actual resort company's accommodation data. In addition, by applying the explainable artificial intelligence XAI(eXplainable AI) technique, we intend to interpret what factors affect cross-selling and confirm how they affect cross-selling through empirical analysis.

An Influence of the Korean Wave on Chinese Tourism to South Korea (중국인의 방한관광에 대한 한류의 영향)

  • Choi, Kyung-Eun
    • Journal of the Korean Geographical Society
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    • v.42 no.4
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    • pp.526-539
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    • 2007
  • The purpose of this study is to investigate the influence of the Korean Wave on Chinese tourism to South Korea through a behavioral analysis of Chinese tourists in the general group package tours. China suppressed the needs of the Chinese people's geographical movement and imposed restrictions on information about the outside world with the use of a policy of "closure" for a long time. But since reforms and open-door policies were introduced in China, especially in the context of relaxation of control policies over Chinese outbound tourism after the mid-1990's, more and more Chinese make trips abroad including visits to South Korea. In this situation, the recent Korean Wave(especially, drama/film) describes the Korean national image by forming a bridge between fiction and reality and plays a pivotal role in broadening or reconstructing the geographical imagination of the Chinese people who have been historically isolated from the outside world. Although Chinese have imagined the Korean nationscape on the basis of geopolitical or economic factors in the past, they have currently broadened or reconstructed their geographical imagination to include socio-cultural factors related closely to the Korean way of life due to the recent Korean Wave. This newly constructed geographical imagination led by the Korean Wave functions as an important pulling factor in Chinese destination choices, affecting Chinese tourists' motivation formation and the recommendation of main attractions. The more influential the Korean Wave is on their destination choice, the more the respondents select the cultural factors in both their motivation for tourism to South Korea and their recommendations of tourism attractions to other people. Through the analysis results of both satisfaction and intention to revisit, the more influential the Korean Wave is on their destination choice, the higher is the degree of both satisfaction and intention to revisit. In other words, although Chinese tourism to South Korea is chiefly in the general group package tours, Chinese tourists who are influenced by Korean Wave on their destination choice have more attachment to(or affection for) Korea as a tourism destination. This result suggests that the Korean Wave affects qualitative change - that is, change of attitude - as well as quantitative change in Chinese demand for tourism to South Korea.

Moderating effects of perceived behavioral control on the relationships among exhibition sales promotions and purchase intention (전시회 판매촉진 활동이 지각된 행동통제의 조절효과와 구매의도에 미치는 영향연구)

  • Kim, Hyun Su;Kim, Mi So;Kim, Chul Won
    • Korea Science and Art Forum
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    • v.31
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    • pp.105-118
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    • 2017
  • The purpose of study is to examine the effectiveness of exhibition sales promotions and purchase intention for reasonable visitors. Perceived behavior control determining moderating effects on the relationship among their sales promotions and purchase intention is used as a predictive variable of unexpected impulsive purchases or negative purchase intention contrary to business intention. A total of 315 visitors who experienced the sales promotions of G-Star 2016 in Busan respond to the questionnaire and 259 forms are used to analyze the data. The main results of this study were as follows. First, except to value-added sales promotion, all of sales promotions positively impact on visitors' purchase intention. Second, as a result of analyzing the moderating effects of the perceived behavioral control consisting of control belief and perceived power on the relationships among the sales promotions and purchase intention, the control belief moderated the sales promotions such as price-off and education on purchase intention. In addition, the perceived power moderated the sales promotions such as escape and entertainment on purchase intention. In a nutshell, the degree of perceived behavior control makes critically impact on the effectiveness of exhibition sales promotions. Based on this results, it yields new insights into the way of developing various sales promotion strategies according to different features of visitors.