• Title/Summary/Keyword: 방문객 정보

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Core Demand Market by Visitor's Characteristics of Mountain Types of a National Park -focused on Demographic and Social Economical Factors- (국립공원 방문객 특성을 이용한 핵심수요시장연구 -인구통계학적 변인과 사회경제학적 변인을 중심으로-)

  • Gwak, Gang-Hee
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.361-368
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    • 2013
  • This research aims to offer the information required for demand increase on marketing strategy level by investigating Mudeungsan visitors' demographic characteristics and social economical variables. To accomplish this study, the proper analyzing model needs to be applied because a grave error of parameters will be led if regression model appropriate for analyzing the data of a continuous probability variable is applied, in case that dependent variable is a discrete random variable which have a discrete probability distribution. Therefore data analysis was performed with Poisson model. However, as the data was showing an overdispersion, parameter was estimated with the Binomial Poisson model able to cover the problem. As a result, some explanatory variables turned out to be significant such as visitor's age, occupation, preferred season to visit, type of company, five days working, and preferring type of tourism. Author could offer to the national park the information about characteristics of core market revealed and marketing strategy for it, based on those influential variables.

Management of Visitors in the Seonunsan Provincial Park through an Analysis on Visitors' Travel Motivations (탐방객 방문 동기 분석을 통한 선운산도립공원 관리 방안)

  • Sung, Chan Yong;Kim, Dong Pil;Cho, Woo
    • Korean Journal of Environment and Ecology
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    • v.30 no.6
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    • pp.1047-1056
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    • 2016
  • This study aims to provide managerial implications for provincial parks through an analysis on visitors' characteristics and motivational factors. The information was collected by surveying 290 visitors. The survey questionnaire consisted of questions regarding visitors' socioeconomic characteristics, characteristics of their travel behavior, visitors' motivation to visit the park, and the degree of satisfaction derived from visiting the park. Results show that most respondents appeared not to collect any information on the park prior to their visit. It was also seen that most visitors do not visit other tourist sites nearby, and are not aware of the Gochang UNESCO biosphere, which indicates that Gochang-gun, which is responsible for park management, needs to make more efforts to promote the park. A factor analysis on the visitors' motivation to visit the park extracted three factors to visit the Seonunsan Provincial Park: 'to hike,' 'to experience and observe nature,' i.e., nature learning field trip and camping, and 'to build and nurture bonding with family and friends.' To examine the effect of these various motivational factors had on the visitors' satisfaction level upon visiting the park, we conducted a multiple regression analysis with the three extracted factors to visit the park and the respondents' socioeconomic characteristics as independent variables, and the degree of recommendation of visiting the park as a dependent variable. The result shows found that, of the three travel factors, only the 'hiking' factor statistically significantly affected the degree of recommendation of visiting the park. This result suggests that the Seonunsan Provincial Park only satisfied hikers and failed to meet the demands for nature experience and observation. It is therefore suggested that the park managers develop new experience-based tourism programs, such as guided tours conducted by professional eco-interpreters.

An Analysis the Relationship between User characteristics by Forest Welfare Facilities: Focusing on Correspondence Analysis (산림복지시설별 이용객 특성과의 관계 분석: 대응분석을 중심으로)

  • Dong-Hoon Kim;Byung-Hoon Kang;Eun-Jee Lee;Hee-Ji Kang;Jeong-Hee Lee
    • Journal of Korean Society of Forest Science
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    • v.113 no.1
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    • pp.1-13
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    • 2024
  • This study used the results of the 2022 national survey of forest welfare facilities and space users conducted in the Republic of Korea to identify the associations and combination patterns among use of forest welfare facilities and various user characteristics. In addition, a correspondence analysis-namely, a categorical data analysis-was performed regarding four facilities: National Natural Recreation Forest, National Soopchewon, National Forest Trail, and National Healing Forest. The cross-analysis revealed highly significant differences (p < .001) in the age, household income per month, means of transportation, companion type, path to information acquisition, and purpose of visit among the users of forest welfare facilities. Moreover, the results of the correspondence analysis demonstrated that users of National Soopchewon and National Healing Forest were distinguished from users of the other forest welfare facilities based on demographic characteristics such as age and household income per month. In addition, the means of transportation of National Forest Trail users differed from that of users of the other forest welfare facilities. Moreover, users of National Soopchewon were associated with the type of public group visit, acquisition of information from the websites of related institutions and facilities and via online portals, and the purpose of participating in education and experiencing education programs. Therefore, the companion type, path to information acquisition, and purpose of visit on the part of users of National Soopchewon could be differentiated from those of users of other forest welfare facilities. The findings of this study revealed the associations and combinations among forest welfare facilities and the characteristics of users of such facilities, with the scope of utilization of the forest welfare facility user data being expanded via correspondence analysis.

Developments of Local Festival Mobile Application and Data Analysis System Applying Beacon (비콘을 활용한 위치기반 지역축제 모바일 애플리케이션과 데이터 분석 시스템 개발)

  • Kim, Song I;Kim, Won Pyo;Jeong, Chul
    • Korea Science and Art Forum
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    • v.31
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    • pp.21-32
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    • 2017
  • Local festivals form the regional cultures and atmosphere of communication; they increase the demand of domestic tourism businesses and thus, have an important role in ripple effects (e.g. regional image improvement, tourist influx, job creation, regional contents development, and local product sales) and economic revitalization. IoT (Internet of Thing) technologies have been developed especially, beacon-one of the IoT services has been applied as plenty of types and forms both domestically and internationally. However, notwithstanding expansion of current digital mobile technologies, it still remains as difficult for the individual to track the information about all the local festivals and to fulfill the tourists' needs of enjoying festivals given the weak strategic approaches and advertisement activities. Furthermore, current festival-related mobile applications don't function well as delivering information and have numerous contents issues (e.g. ways of information delivery within the festival places, independent application usage for each festival, one time usage due to one time event). This research, based on the background mentioned above, aims to develop the local festival mobile application and data analysis system applying beacon technology. First of all, three algorithms were developed, namely, 'festival crowding algorithm', 'visitor stats algorithm', and 'customized information algorithm', and then beta test was followed with the developed application and data analysis system. As a result, they could form the database of visitors' types and behaviors, and provide functions and services, such as personalized information, waiting time for festival contents, and 'hot place' function. Besides, in Google Play store, they also got the titles given with more than 13,000 downloads within first three months and as the most exposed application related with festivals; and, thus, got credited with their marketability and excellence. This research follows this order: chapter 2 shows the literature review of local festival related with technology development, beacon service, and festival application. In Chapter 3, design plans and conditions are described of developing local festival mobile application and data analysis system with beacon. Chapter 4 evaluates the results of the beta performance test to verify applicability of the developed application and data analysis system, and lastly, chapter 5 explains the conclusion and suggests the future research.

lmplementation of Bellboy Robot using LiDAR (라이더를 이용한 벨보이 로봇의 구현)

  • Park, Cha-Hun;Park, Seong-Sik;Jo, Seong-Gik;Kim, Young-Chan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.231-232
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    • 2018
  • 최근 항공 산업 발전으로 여행객들의 수가 증가하고 있으며, 호텔 이용객 수도 더불어 증가하는 추세이다. 호텔 이용객의 증가로 시설 이용 시 서비스 지연과 혼잡 그리고 서비스 품질 저하 등이 발생하게 되면서 호텔 이용객들의 시설 이용 만족도가 하락하게 되고 또한 호텔 근무 직원들의 업무 피로도가 높아지고 누적되면서 직업 만족도가 떨어지는 연쇄적인 문제점들이 발생하고 있다. 본 연구는 호텔에 방문하는 이용객들에게 캐리어 운반과 객실 안내 및 호출 서비스 등 각종 서비스 업무를 직원 대신 수행하게 되면서 현 문제점들을 어느 정도 경감시키고 이에 따라 고객 만족도 및 호텔 직원들의 업무 만족도를 증가시킬 수 있을 것으로 사료된다.

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The Study on the Effect of Eco-Tourist's Attitude, Behavior and Satisfaction on Tour Expenses at Suncheon Bay (순천만 생태관광객의 태도와 행태, 만족도가 관광소비에 미치는 영향)

  • Park, Eun-Byul;Kim, Hyun;Choi, Hee-Sun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.1
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    • pp.50-63
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    • 2014
  • Eco-tourism has been recognized as a form of sustainable development that simultaneously satisfies the need for environmental preservation and the activation of local economies. Although some research findings relating to its positive environmental and social effects have been published, there is still controversy regarding its pros and cons in terms of its actual economic benefits, and little research about how they can be increased. Thus, the following research analyzes how the tour activities, attitudes and satisfaction of 314 actual visitors was related with their consumption behaviors, by surveying tourists to Suncheon Bay, a highly popular destination with a large number of visitors. The results are as follows. First, if the tourists were involved in a link-up tour, had prior eco-tourism experience, or had researched information on SunCheon bay eco-tourism before their visit, these were all positively correlated with consumption behaviors, and increased the amount of money they spent. In particular, among tour spending activities, accommodation cost is shown to be highly correlated with tour activities. Second, Free Independent Tourist(FIT) tended to show more positive tour attitudes than package tourists, spending more on accommodation and experience programs. The visitors to SunCheon Bay showed strong environmental attitudes, followed by social and cultural attitudes, and economic attitudes, in that order, and tourists with positive attitudes had a high rate of participation in experience programs. In addition, program participants showed a willingness to donate, and high satisfaction. Therefore, the following thesis proposes that Free Independent Tourist(FIT) should be induced to increase their contribution to the local eco-tourism economy, and highlights the need to develop various experience programs, aggressive advertisements and educational activities.

A Study on the Effect of Jeonju International Film Festival Image upon the Degree of Satisfaction (전주국제영화제 이미지 요인이 만족도에 미치는 영향 연구)

  • Lee, Gyu-Jeong;Park, Young-Bae;Kim, Noh-Ik
    • The Journal of the Korea Contents Association
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    • v.9 no.6
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    • pp.82-91
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    • 2009
  • Film festival is a cultural event, which would be held for various purposes. This study was to find out the effects of visitors' demographic characteristics and Jeonju International Film festival images upon their general satisfactions, focusing on the 10th Jeonju International Film Festival. The results are as following. First, 20's(year), Student(job) and Less than 100(income/a month) had a majority in the demographic characteristic. It is needed to develop various programs and events targeting for these groups. Second, it resolved 11 questions in all into 3 factors, which is named as 'Administration', 'Facility', and 'Contents'. Specially We need to develop events and programs for teens. It verified that visitors satisfied far more as they were provided with comfortable theater, various facilities and events, etc. It also proved that the service of giving useful informations met visitors' satisfaction. But as the demographic characteristic showing, visitors dwelling near Jeonju were fewer. It is required for a program to enhance the peculiar qualities of the city, Jeonju and then to promote the participation of local people. It is necessary for the host organization to secure its identity including peculiar subjects differentiated from other film festivals for the purpose of establishing itself as a worldwide event.

Visitors' Attitudes to National Park Use and Managerial Attributes in Woraksan National Park (월악산국립공원의 이용 및 관리속성에 대한 탐방객 태도)

  • Yoo Ki-Joon;Kim Dong-Pil
    • Korean Journal of Environment and Ecology
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    • v.19 no.2
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    • pp.144-149
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    • 2005
  • The purpose of this study was to provide basic visitor information for developing effective park management strategies. To accomplish the purpose of this study, a questionnaire survey was carried out in major entry points in Woulaksan National Park. As for the results, socioeconomic characteristics of the visitors parks were similar to the findings of previous studies of national park visitors. Visitors' overall attitudes to national park use were preservation-oriented and significance levels of 18 management- related attributes were perceived as from normal to not serious. Visitors' recreation satisfaction levels with the area was relatively high.

Personalized Exhibition Booth Recommendation Methodology Using Sequential Association Rule (순차 연관 규칙을 이용한 개인화된 전시 부스 추천 방법)

  • Moon, Hyun-Sil;Jung, Min-Kyu;Kim, Jae-Kyeong;Kim, Hyea-Kyeong
    • Journal of Intelligence and Information Systems
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    • v.16 no.4
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    • pp.195-211
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    • 2010
  • An exhibition is defined as market events for specific duration to present exhibitors' main product range to either business or private visitors, and it also plays a key role as effective marketing channels. Especially, as the effect of the opinions of the visitors after the exhibition impacts directly on sales or the image of companies, exhibition organizers must consider various needs of visitors. To meet needs of visitors, ubiquitous technologies have been applied in some exhibitions. However, despite of the development of the ubiquitous technologies, their services cannot always reflect visitors' preferences as they only generate information when visitors request. As a result, they have reached their limit to meet needs of visitors, which consequently might lead them to loss of marketing opportunity. Recommendation systems can be the right type to overcome these limitations. They can recommend the booths to coincide with visitors' preferences, so that they help visitors who are in difficulty for choices in exhibition environment. One of the most successful and widely used technologies for building recommender systems is called Collaborative Filtering. Traditional recommender systems, however, only use neighbors' evaluations or behaviors for a personalized prediction. Therefore, they can not reflect visitors' dynamic preference, and also lack of accuracy in exhibition environment. Although there is much useful information to infer visitors' preference in ubiquitous environment (e.g., visitors' current location, booth visit path, and so on), they use only limited information for recommendation. In this study, we propose a booth recommendation methodology using Sequential Association Rule which considers the sequence of visiting. Recent studies of Sequential Association Rule use the constraints to improve the performance. However, since traditional Sequential Association Rule considers the whole rules to recommendation, they have a scalability problem when they are adapted to a large exhibition scale. To solve this problem, our methodology composes the confidence database before recommendation process. To compose the confidence database, we first search preceding rules which have the frequency above threshold. Next, we compute the confidences of each preceding rules to each booth which is not contained in preceding rules. Therefore, the confidence database has two kinds of information which are preceding rules and their confidence to each booth. In recommendation process, we just generate preceding rules of the target visitors based on the records of the visits, and recommend booths according to the confidence database. Throughout these steps, we expect reduction of time spent on recommendation process. To evaluate proposed methodology, we use real booth visit records which are collected by RFID technology in IT exhibition. Booth visit records also contain the visit sequence of each visitor. We compare the performance of proposed methodology with traditional Collaborative Filtering system. As a result, our proposed methodology generally shows higher performance than traditional Collaborative Filtering. We can also see some features of it in experimental results. First, it shows the highest performance at one booth recommendation. It detects preceding rules with some portions of visitors. Therefore, if there is a visitor who moved with very a different pattern compared to the whole visitors, it cannot give a correct recommendation for him/her even though we increase the number of recommendation. Trained by the whole visitors, it cannot correctly give recommendation to visitors who have a unique path. Second, the performance of general recommendation systems increase as time expands. However, our methodology shows higher performance with limited information like one or two time periods. Therefore, not only can it recommend even if there is not much information of the target visitors' booth visit records, but also it uses only small amount of information in recommendation process. We expect that it can give real?time recommendations in exhibition environment. Overall, our methodology shows higher performance ability than traditional Collaborative Filtering systems, we expect it could be applied in booth recommendation system to satisfy visitors in exhibition environment.

The Effects of Hotel Visitors' Cultural Characteristics on Hotel Selection Attributes: Focusing on the Hofstede Cultural Dimension (호텔 방문객들의 문화적 특성이 호텔 선택속성에 끼치는 영향: Hofstede 문화차원을 중심으로)

  • Jaewon Jang;Byunghyun Lee;Jaekyeong Kim
    • Knowledge Management Research
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    • v.24 no.1
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    • pp.99-126
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    • 2023
  • As cultural background contributes members of society to recognize and behave in a specific direction, customers with different cultural backgrounds show various reactions even when they are provided with the same service. Previous studies have used the Hofstede cultural dimension to understand how hotel visitors' satisfaction varies with the provided service as per their cultural background. However existing research only considered the cultural background of the guests, and there are not many studies focused on the types of travel. Therefore, in this study, the travel types of hotel visitors are classified into business travel visitors and leisure tourism visitors, and analyzed the effect of Hofstede's cultural dimension on hotel selection attributes according to the styles of travel. In this study, we collected information on six cultural dimensions of Hofstede, and from TripAdvisor, a representative tourism platform, 204,261 optional attribute ratings for hotels in New York to investigate the satisfaction of hotel selection attributes. In conclusion, it is expected that this study will be able to identify which service attributes the customers of various cultures who visit hotels put emphasis in advance, and therefore provide suitable service accordingly.