• 한국산림과학회지
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• 제90권6호
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• pp.747-755
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• 2001

본 연구는 산촌지역축제인 아카시아벌꿀축제에 대하여 방문객의 관광지 이미지의 구성요인을 도출하고, 방문객의 특성에 따라 관광지 이미지의 유의미한 차이가 있는 지를 분석하였다. 설문조사는 축제기간인 2001년 5월 12일에서 15일까지 축제장을 방문한 394명의 관광객을 대상으로 실시하였으며, 관광지 이미지 평가를 위한 설문항목은 선행연구를 기초로 20개를 설정하고 5점 Likert 척도를 적용하여 요인분석을 실시하였다. 아카시아벌꿀 축제의 관광지 이미지는 크게 환경, 태도 시설, 축제 프로그램, 그리고 상품요인 둥 4개 요인으로 구성되었다. 방문객의 특성에 따른 관광지 이미지의 변화는 최초방문객과 재방문객, 지역주민과 외지인, 그리고 벌꿀상품을 구매한 관광객과 구매하지 않은 관광객 사이에 이미지 평가에 대한 차이가 통계적으로 존재하는 지를 검정하였다. 그 결과 재방문객과 지역주민의 관광지 이미지가 환대성, 축제 내용 및 순서정보 제공과 같은 태도요인에서 긍정적인 것으로 나타났다. 또한 지역 벌꿀을 구매한 집단의 이미지는 구매하지 않은 집단보다도 상품의 가격과 품질뿐만 아니라 환경요인인 지역문화체험, 자연경관, 향수성, 분위기 등에서 긍정적인 것으로 평가되었다. 따라서 축제이미지 향상을 위하여는 주최측인 지방정부는 외부 관광객에게 축제에 대한 효과적인 정보제공과 함께 지역의 자연환경과 연계된 향토성과 체험성을 강조하는 프로그램의 개발이 필요한 것으로 판단된다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.35-52
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• 2020

Purpose Local governments in each region actively hold local festivals for the purpose of promoting the region and revitalizing the local economy. Existing studies related to local festivals have been actively conducted in tourism and related academic fields. Empirical studies to understand the effects of latent variables on local festivals and studies to analyze the regional economic impacts of festivals occupy a large proportion. Despite of practical need, since few researches have been conducted to predict the number of visitors, one of the criteria for evaluating the performance of local festivals, this study developed a model for predicting the number of visitors through various observed variables using a machine learning algorithm and derived its implications. Design/methodology/approach For a total of 593 festivals held in 2018, 6 variables related to the region considering population size, administrative division, and accessibility, and 15 variables related to the festival such as the degree of publicity and word of mouth, invitation singer, weather and budget were set for the training data in machine learning algorithm. Since the number of visitors is a continuous numerical data, random forest, Adaboost, and linear regression that can perform regression analysis among the machine learning algorithms were used. Findings This study confirmed that a prediction of the number of visitors to local festivals is possible using a machine learning algorithm, and the possibility of using machine learning in research in the tourism and related academic fields, including the study of local festivals, was captured. From a practical point of view, the model developed in this study is used to predict the number of visitors to the festival to be held in the future, so that the festival can be evaluated in advance and the demand for related facilities, etc. can be utilized. In addition, the RReliefF rank result can be used. Considering this, it will be possible to improve the existing local festivals or refer to the planning of a new festival.

• 농촌계획
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• 제24권4호
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• pp.69-80
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• 2018

In this study, we typified the project for revitalizing the rural area through text analysis using news data, and analyzed the main direction and characteristics of the project. In order to examine the factors emphasized among the issues related to the revitalization of rural areas, we used news data related to 'tourism' and 'livelihood', which are the main keyword of the project to promote rural areas. In the analysis, text mining techniques were used. Topic modeling was conducted on LDA techniques for major projects in 'tourism' and 'livelihood' keyword. Based on this, this study typified the projects that are carried out for the activation of rural areas by topic. As a result of the analysis, it was fount that the topics included in the project were distributed in 11 sub-types(Tourism Promotion, Regional Specialization, Local Festival, Development of Regional Scale, Urban and Rural Exchange, Agricultural Support, Community Forest Management, Improve the Settlement Environment, General Welfare Service, Low Class Support, Others). The characteristics of the rural revitalization projects were examined, and it was confirmed that domestic projects were carried out by tourism-oriented projects. To summarize, the government is making projects to revitalize rural areas through related ministries. Within the structure where the project is spreading to the region, a lot of projects are being carried out. It is understood that the tourism and welfare oriented projects are being carried out in the revitalization project of the domestic rural area. Therefore, in order to achieve the goal of rural revitalization, it is believed that it will be effective to carry out a balanced project to improve the settlement environment of the residents.