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      • KCI등재

        관광지에 대한 인지와 선호(選好)의 다변량 분석 : 국립공원에 대한 대도시 주민들의 인지와 선호를 중심으로

        윤길진 한국관광산업학회 1990 Tourism Research Vol.4 No.1

        The objective of this thesis is to analize the perceptions and preferences for National park as tourist area: Soraksan, Odaesan, Kyoungju, Hanryo Water Way, Songnisan, Kyeryongsan, Togyusan, Naejansan, Jirisan, Hallasan. In order to pursue the objective of dissertation, the following research questions were considerecd: 1. What are some of the primary touristic characteristics of the regions as perceived by actual or potential visitors to those regions? 2. What are some of the major touristic characteristics sought by tourists who visit or plan to visit one or more of the ten National parks in the study? 3. Do respondents can be grouped on the basis of their preference for, or the importance they attach to, different characteristics? To identify the important touristic characteristics of the tourist area used the following method: Generation of attributes during the design and pretest stagesof the questionnaire, for example by review of relevant tourism travel literature and direct questioning of some of respondents in the study prior to actual data collection and use of Kelly's repertory grid method. The results of these approaches indicated some of the main tourism characteristics of the regions valued by tourist, and that made the regions attractive as vacation areas. These attributes are Historical and cultural landscape of the tourist area, scenic beauty, the clean of the tourist area, pleasant attitude of the tourist area people, space and facility for rest and relexation, shopping and service facilities, facilities for sports and entertainment, accomodation, facilities of transportation, accessbility, crowdness of tourist area, relative expensiveness of the tour, well-known. The used methods in the study are multivate Analysis method, Thurston's row of Comparative Judgement and Fishbecu's choice model. According to the result of pattern classification along with the importance ratings of the tourism attributes, applying the multivariate analysis to valuation effect of importance degree for the 13 tourism attributes valuated by the respondents of 3 cities, each 3 cities induced the 3 homogeneitic groups. Seeing the peculiarity of these groups of 3 cities, it was generally classified as the group that attach the importance to Scenic beauty and the group that select the tourist area by the historical, cultural landscape and the group that select the tourist area by the overall facilities of tourist area. The relationship between the perception of and preference for national parks by groups appeared not clear in the perception and preference structure.

      • KCI우수등재
      • 國立公園 觀光地에 대한 認知와 選好에 관한 分析的 硏究

        尹吉鎭 건국대학교 1990 장안지리 Vol.5 No.3

        The objective of this thesis is to analize the perceptions of and preferences for National Park as tourist area: Soraksan, Odaesan, Kyoungju, Hanuryo Water Way, Songnisan, Kyeryongsan, Togyusan, Naejansan, Jirisan, Hallasan. In order to pursue the objective of dissertation, the following research questions were considered : 1.What are some of the primary touristic characteristics of the regions as perceived by actual or potential visitors to those regions? 2.What are some of the major touristic characteristics sought by tourists who visits or plan to visit one or more of the ten National parks in the study? 3.What is the relative importance of these characteristics to them? 4.What is the relative preference for the ten National parks? 5.What is the relationship of the preference rankings of and the perception ratings of the National parks? 6.Do respondents can be grouped on the basis of their preference for, or the importance they attach to, different characteristics? 7.What time of the year are respondents most likely to travel to the National parks? Three approaches were used for identifying the important touristic characteristics of the tourist area: 1.Generation of attributes during the design and pretest stages of the questionnaire, for exemple by review of relevant tourism travel literature; direct questioning of some of respondents in the study prior to actual data collection; and use of Kelly's repertory grid method. 2.INDSCAL analysis of repondents' similarity judgements. The results of these two approaches indicated some of the main tourism characteristics (attributes) of the regions valued by tourists, and that made the regions attractive as vacation areas. These attributes are : 1.The landscape of historical and cultural of the tourist area. 2.Scenic beauty 3.The clean of the tourist area 4. Pleasant attitude of the tourist area people 5.Space and facility for rest and relexation. 6.Shopping and service facilities. 7.Facilities for sports and entertainmet. 8.Accomodations 9.Facilities of Transportation 10.Accessbility 11.Crowdness of tourist area. 12.Relative expensiveness of the tour 13.Well-known Thurston's law of comparative judgement, Case V in particular, was applied to respondents' ratings of the importance of the 13 attributes and to respondents' rankings of the regions in the study in terms of preference for a tourist area. Thurston's Case V showed that Soraksan, Hallasan, Jirisan, Hallyosudo were the most prefered national parks of the set used in the study, and Togyusan, Odaesan, Kyoungju and Kyeryongsan were the least preferred, and that the sample as a whole rated scenic beauty , Clean of tourist area, Space and facilities for rest and relexation as three most important attributes they seek from touring in one or more of the regions in the study. Application of the basic Fishbein-type model to preferences for the regions and the perceived amount of 13 salient attribites possessed by each region indicated that region preferences were weakly related to related to attributes offered by those regions. According to the results of multidimensional scaling, namely the INDSCAL analysis, for the similarity, the 4 national parks such as Soraksan, Odaesan, Jirisan, Togyusan made the similar group on two dimensional space and Naejansan, Kyeryongsan, Songnisan, Hanryo water way and Hallasan made a group in each. Seeing like this location differentiating the dimension, the case of Kyoungju may make the group with the Songnisan and Odaesan. The explanation of tourism attributes for dimension has low explanation power and the dimension is generally depend upon by the mountain landscape and non mountain landscape, and also by the landscape of historical and cultural, and by the regional location. According to the multidimensional scaling for the preference, The dimension is generally showed comparatively high explanation power according to the Scenic beauty and the landscape of historical · cultural. Seeing the arrangement on multidimensional space, the preference for Soraksan is nearly matchless and there appeared as Hallasan and Hanryo water way group and Kyougju, Odaesan, Songnisan and Kyeryongsan, Naejansan, Togyusan, Jirisan goup. According to the result of pattern classification along with the importance ratings of the tourism attributes, applying the multivariate analysis to valuation effect of importance degree for the 13 tourism attributes valuated by the respodents of 3 cities, each 3 cities induced the 3 homogeneitic groups. Seeing the peculiarity of these groups of 3 cities, it was generally classified as the group that attach the imtortance to Scenic beauty and the group that select the tourist area by the landscape of historicalㆍcultural, and the group that select the tourist area by the overall facilities of tourist area. The relationship between the perception of and preference for national parks by groups appealed not clear in the perception and preference structure. According to the result of research for the seasonal preference degree to the 10 national parks, the Kyoungju was prefered for the spring time, and the national park that has high preference from spring to summer was the Hanryo water way. The Odaesan, Togyusan and Kyeryongsan were prefered for mainly from summer to autumn,. The Naejansan, Songnisan and Jirisan were prefered for mainly autumn, and the Soraksan was prefered for the season from autumn to winter, and Hallasan was prefered for the season from winter to spring.

      • 尺度構成法에 의한 國立公園의 認知構造에 관한 硏究

        尹吉鎭 건국대학교 1988 論文集 Vol.27 No.2

        The objective of this article was to analize perception structure of the national parks as tourist area using the scaling method ( both of unidimensional and multidimensional scaling ). Scaling prosdures are the geometric transformation prosdure to draw metric inferences from nonmetric data. In this sense sealing methods offer a great potential for the research of themes that only qualitative information in available. Above all, In the research of behavioral aspects as perception and preference. scaling methods are very useful. Information on the individual perception of the ten national parks as tourist area were collected from a group of 532 salariates living in Seoul through a questionaire, the collected data included perception ratings of these regions as tourist area. Using the Thurstone's law of comparative judgement as unidimensional scaling and using the multidimensional scaling, the evaluations of the amount of each of the ten tourist - attraction attributes that respondents perceived each of the ten regions to posses and the respondents' similarity judgements of all paired comparisons of the national parks were analized. Respondents were asked to rate on a seven point scale each of the ten attributes for each region in terms of how much of each attribute each region was perceived to posses Next, respondents' ratings of each of the attributes perceived to be possessed by each region was averaged. The averaged results were submitted to Thurstone's Case V results of respondents' perception ratings of the ten regions in terms of the attractiveness of each region as tourist area show ( Fig 1 ). The multidimensional analysis of the resulting data produced two - dimensional and three - dimesional " perceptual map " of these ten regions ( Fig 2 and Fig 3). the computer program of MDS used INDSCAL.

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