• 농촌계획
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• 제17권3호
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• pp.43-53
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• 2011

Today, seaside village has been met with much difficulty from aggravation of fishing conditions including decrease of fishery resources, marine products market opening, reduction of coastal fishing ground. Thus, seaside village tourism can become an useful alternative to revitalize the local community. This study deals with on the tourism activities based on motive of tourist to Seaside Villages in Jeju Island. And it will be find out though the cross analysis of tourism motivation factors and tourism activities factors. With 298 effective responses gathered from an on-site survey. The statistical analysis of the data was conducted using techniques of frequency analysis, factor analysis, cluster analysis, and canonical analysis. The tourism motivation and activities were conformed by Chi-Square Analysis and ANOVA analysis. For the growth of seaside village, many tourist must visit four seasons and tourism facilities and programs will be develop as seaside village experience activities, marine leisure activities, and circumference inquiry activities.

• 동아시아경상학회지
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• 제7권2호
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• pp.21-30
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• 2019

Purpose - In this work, we categorize the 21 shopping items which foreign tourists purchase in South Korea and monitor the level of dissimilarity (or similarity) between each item by utilizing distance matrix, and both hierarchical and k-means cluster analyses, respectively, based on several purpose of visit attributes in 2017. In addition, multidimensional scaling (MDS) method is applied for mining visual appearance of proximities among shopping items based on purpose of visit attributes. Research design and methodology - This study is carried out in 2017 by Ministry of Culture, Sports and Tourism and conduct a face-to-face survey of foreign tourists from 20 countries who purchase shopping items in South Korea. CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0 are used to perform this work. Results - We ascertain that 21 shopping items can be classified into five similar groups which have homogeneous traits by going through two-step cluster analysis. We can position homogeneous places of cluster and shopping items joining each cluster. Conclusions - We can relatively assess patterns and characteristics of each shopping item, come by useful information in activating shopping tour based on the actual state of recognition of foreign tourists and practically apply to each tourism industry on underlying results.

• 유통과학연구
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• 제19권12호
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• pp.33-43
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• 2021

Purpose: This paper aims to determine features of the relationship between human development, tourism and national brand. Research design, data and methodology: ranking indicators, cluster analysis, K means method, correlation analysis. Results: The analysis covers data for 95 countries for 2019. The number of countries is justified by the availability of comparable data for calculations. A direct relationship between the indicators for the entire sample has been revealed in the result of the correlation analysis. However, this relationship has not been confirmed for the groups of countries that were formed through the cluster analysis. Spearman Rank Order and Kendall Tau Correlations have been calculated for the five obtained clusters. In two of the five clusters, the relationship between the indicators has not been found. A strong negative link between all the indicators has been detected in the cluster with average index values. A strong positive link between TTCI and BSI has been revealed in the group of countries with the best index values. A strong positive link between TTCI and HDI has been found in the group of countries with the worst index values. Conclusions: The analysis demonstrates that there is a relationship between BSI, TTCI and HDI, and while this link is observed for the sample as a whole, it is not homogeneous for groups of countries.

• 농촌계획
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• 제22권2호
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• pp.45-55
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• 2016

From 1970, the concept of ecotourism is introduced, lots of studies in ecotourism appeared. Review these studies are necessary for future ecotourism studies. Some review studies on ecotourism are existed. However, these approach also limitation of subjectivities and some sorts of papers has not been reviewed. This study use keyword network analysis which is used as big data analysis to overcome the limitation. Foreign 2455 studies and domestic 163 studies which have ecotoursim in keywords, are analyzed for reviewing. As a result, 3 cluster('Sustainable tourism development', 'Ecological conservation', 'Ecotourist analysis' appeared, in ecotourism studies. In addition, this cluster has deep relationship with region. 'Sustainable tourism development' is related to Eurasia, Australia, Europe. 'Ecological conservation' is related to Africa. 'Ecotourism analysis' is related to North America. Especially 'Resident participation', 'Stakeholder' are appeared many times in Asia region. These results show that ecotourism studies are interpreted in regional contexts. It means that although only one word 'ecotourism' is used in different contexts, regional approach are needed for exact use. In Korea, the keywords are focused on ecotourists and developments. As Korea has lots of ecotour village, resident participation studies have to be supplemented.

• 농촌지도와개발
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• 제28권1호
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• pp.13-23
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• 2021

This study aims to examine the market segmentation of rural healing tourists. A two-stage cluster method was used to segment the market of rural healing tourists, and the difference in satisfaction by segmented market was identified. In this study, a total of 433 cases were used for analysis. A total of four clusters of rural healing tourists were derived based on the purpose of visit and involvement with rural healing tourism. The names of each cluster were determined as 'high involvement, daily escape purpose type', 'high involvement, stress relief purpose type', 'low involvement, daily escape purpose type', and 'high involvement, exotic experience purpose type.' Each groups were found to have significant differences according to educational level, purpose of visit, companion, and expenditure. The satisfaction and the behavioral intention of rural healing tourists was highest in the group of 'high involvement, stress relief purpose type.' The results of this study suggest that the characteristics and satisfaction of rural healing tourists were differ according to the segmented group. This study suggests useful information for target marketing strategies for each segmented market according to the characteristics of rural healing tourists.

• 한국지역지리학회지
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• 제15권2호
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• pp.250-260
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• 2009

본 연구의 목적은 레저 스포츠 이벤트 활동 참가추구목적에 따른 관광자원 개발 선호 방안을 도출하기 위한 방법으로 다차원 척도법 (MDS)을 이용하였다. 따라서 이에 따른 관광자원개발 선호도에 대한 세분시장별 특성을 파악해 보고자 한다. 연구 분석을 위해 전국 인라인 마라톤 대회 참여자 330부를 이용하였으며, 연구 방법은 SPSS 15.0 for Windows 통계 프로그램을 이용하였다. 결과분석에서는 첫째, 레저 스포츠 활동 참가자의 참가목적에 따른 세분집단을 군집화한 결과 '금전획득 참가목적자', '보통 자아실현참가 목적자', '강한 자아실현참가 목적자' 등 3개의 집단으로 세분화되었으며, 분석결과 세분화된 3집단은 관광자원개발에 영향을 주는 집단으로 밝혀졌다. 따라서 세분화된 집단특성에 따른 만족도를 높이기 위해서는 이들의 선호특성에 맞는 관광자원 개발의 필요성이 요구된다.

• 한국관개배수논문집
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• 제18권2호
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• pp.66-75
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• 2011

Multivariate statistical analysis was applied to 110 dam heightening reservoir to classify the building conditions for waterfront centered around cultivated area using data of land cover, landscape, additional water quantity, local economic, tourism resources, and accessibility related variables. Five factors were extracted through factor analysis based on eigen value criteria of more than one. These five factors together account for 68.2% of the total variance. Characteristics of five factors for the downstream of dam heightening reservoirs are building conditions of waterfront, economic conditions, additional water quantity, eco-tours, and accessibility of tourism resources respectively. Five clusters were classified through cluster analysis based on factor score. The classified result shows that third cluster has remunerative terms for building waterfront.

• 한국콘텐츠학회논문지
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• 제8권9호
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• pp.115-123
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• 2008

본 논문은 수도권을 포함한 지역별 영상산업 정책을 비교 연구함으로써 효과적인 영상산업 클러스트 구축을 어떻게 도모해야 할지를 밝히는가가 이 연구의 목적이다. 이를 위해 서울 및 경기도를 포함한 수도권과 부산, 전주 등 4개 지역을 선정하여 각 지자체별 영상산업의 인프라 및 영상정책을 비교 검토하였으며, 이 결과 다음과 같은 결론을 제시하기에 이르렀다. 우선 영상산업 클러스트의 유형을 영상 산업형 클러스트와 영상. 관광사업 연계형 클러스트로 구분하고, 영상 산업형 클러스트는 국제적 경쟁력 강화를 위한 도시와 국내 차원의 영상산업 발전을 위한 도시로 다시 구분한 뒤 서울, 경기, 부산지역은 국제거점 영상 클러스트로 지정하고 전주, 대전지역은 지역거점 영상 클러스트로 지정하자는 것이다. 아울러 영상. 관광사업 연계형 클러스트는 로케이션 유치 및 오픈세트 등 관광단지 조성 등으로 지역 발전을 유도하는 차원에서 강원, 충청, 제주 지역 등을 지정하자는 것이다.

• 수산경영론집
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• 제49권4호
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• pp.53-68
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• 2018

The industrial structure of Chuja Island is mainly occupied by fisheries. Since the fisheries resources have been depleted and the marine environment has been changed, the fishery industry has been hard to survive. It is the time when residents are looking for a breakthrough in the tourism industry. Market segmentation is a valuable tool in the establishment of marketing strategies. Segmentation of tourists by the same desire and motivation is an essential factor in identifying the characteristics of tourists. The research on market segmentation of tourism sector focuses mainly on demographic subdivision, psychological subdivision, and behavioral subdivision, so it is urgent to study geographical market segmentation. The purpose of this study is to present data that can be used to establish a marketing strategy for tourism promotion in Chuja Island by analyzing the tourism activities via subdivision market according to demographic characteristics, tourism behavior characteristics, and tourism motivation after grasping the geographical segment of tourists through empirical analysis. In this study, 285 valid samples were analyzed by frequency analysis, ${\chi}^2$ test, cluster analysis and ANOVA test.

• International Journal of Advanced Culture Technology
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• 제12권1호
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• pp.270-275
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• 2024

Introduction. In this study, purpose is to analize the types of golf tourism, inbound or outbound, by using big data and see how movement of industry is being changed and what changes have been made during and after Covid-19 in golf industry. Method Using Textom, a big data analysis tool, "golf tourism" and "Covid-19" were selected as keywords, and search frequency information of Naver and Daum was collected for a year from 1 st January, 2023 to 31st December, 2023, and data preprocessing was conducted based on this. For the suitability of the study and more accurate data, data not related to "golf tourism" was removed through the refining process, and similar keywords were grouped into the same keyword to perform analysis. As a result of the word refining process, top 36 keywords with the highest relevance and search frequency were selected and applied to this study. The top 36 keywords derived through word purification were subjected to TF-IDF analysis, visualization analysis using Ucinet6 and NetDraw programs, network analysis between keywords, and cluster analysis between each keyword through Concor analysis. Results By using big data analysis, it was found out option of oversea golf tourism is affecting on inbound golf travel. "Golf", "Tourism", "Vietnam", "Thailand" showed high frequencies, which proves that oversea golf tour is now the re-coming trends.