Journal of the Korean Institute of Landscape Architecture
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v.50
no.5
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pp.69-79
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2022
This study aims to assess the current understanding of the landscape of wind power facilities as renewable energy sources that supply sightseeing, tourism, and other opportunities. Therefore, social media data related to the landscape of wind power facilities experienced by visitors from different regions was analyzed. The analysis results showed that the common characteristics of the landscape of wind power facilities are based on the scale of wind power facilities, the distance between overlook points of wind power facilities, the visual openness of the wind power facilities from the overlook points, and the terrain where the wind power facilities are located. In addition, the preference for wind power facilities is higher in places where the shape of wind power facilities and the surrounding landscape can be clearly seen- flat ground or the sea are considered better landscapes. Negative keywords about the landscape appear on Gade Mountain in Taibai, Meifeng Mountain in Taibai, Taiqi Mountain, and Gyeongju Wind Power Generation Facilities on Gyeongshang Road in Gangwon. The keyword 'negation' occurs when looking at wind power facilities at close range. Because of the high angle of the view, viewers can feel overwhelmed seeing the size of the facility and the ridge simultaneously, feeling psychological pressure. On the contrary, positive landscape adjectives are obtained from wind power facilities on flat ground or the sea. Visitors think that the visual volume of the landscape is fully ensured on flat ground or the sea, and it is a symbolic element that can represent the site. This study analyzes landscape awareness based on the opinions of visitors who have experienced wind power facilities. However, wind power facilities are built in different areas. Therefore, landscape characteristics are different, and there are many variables, such as viewpoints and observers, so the research results are difficult to popularize and have limitations. In recent years, landscape damage due to the construction of wind power facilities has become a hot issue, and the domestic methods of landscape evaluation of wind power facilities are unsatisfactory. Therefore, when evaluating the landscape of wind power facilities, the scale of wind power facilities, the inherent natural characteristics of the area where wind power facilities are set up, and the distance between wind power facilities and overlook points are important elements to consider. In addition, wind power facilities are set in the natural environment, which needs to be protected. Therefore, from the landscape perspective, it is necessary to study the landscape of wind power facilities and the surrounding environment.
The user's composition in Chiak Mountain National Park showed that male, twenties(20-29 ages) and high school or more graduated students were 64.7%, 72.5% and 95% respectively by sex, age and education. In visiting purpose, the natural parks characteristics shelved to be a important merit of Chiak Mountain, but the picnic patterns as of neighbourhood park and the recreation patterns as of recreation ground were appeared to be important simultaneously. In preferable place of visitors, the water in valley, natural landscape and climbing were prefered. In the district of Temple Kuryong valley, the peak season of visiting was Fall, and the peak hours during a day was 10 hours A.M and 5 hours P.M. Therfora the management plan in consideration of hiking pattern of nature park, picnic pattern as of neighbourhood park and recreation pattern as of recreation ground shall be necessary to solve the conflicts among functions in Chiak Mountain National Park.
This study was conducted to investigate user, use characteristics and use pattern of Soknisan national park. In this study, the questionaire was used which was included the questions on socioeconomic variables of users, visiting motivations, attitudes on management and services, and so on. And to count the passingers, 9 observation points were selected. Visitor's important motivations were to escape from crowded city, to escape from daily routine, to enjoy natural seeing beauty, and so on. Their main activities were temple visit, stroll and mountain climbing. The visitor's composition showed that high school or more graduated twenties were respectively dominant. Perceived crowding level in this park were relatively high and most crowded area was Bupjusa area. Visitors had unsatisfactory attitudes on management and services as like trail, facilities, educational environment and others related services. Accordingly satisfaction level was comparatively low. A major portion of visitors merely visited Bupjusa area, only 15% and less climbed as far as top of mountain.
Journal of the Korea Academia-Industrial cooperation Society
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v.10
no.12
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pp.3815-3823
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2009
As a critical element for success of community based tourism, festivals and special events play a significant role in enticing visitors from outside of the host community. More importantly, festivals and events contribute to improve the life quality for both hosts and guests. The purpose of this study is to develop a market segmentation strategy based on the perceived festival impacts among visitors to Poonggi Ginseng Festival so that each segment can be treated and communicated with separatedly for utmost visiting satisfaction. In this study, two market segments based on visitors' socio-cultural and environmental evaluation of the festival were identified, namely high appraisal group and low appraisal group. Two groups contrast sharply in terms of their behavioral patterns and perceived value and overall satisfaction. Practical marketing strategies are suggested accordingly.
Journal of the Korea Academia-Industrial cooperation Society
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v.11
no.8
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pp.2926-2934
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2010
The purpose of this study was to examine the satisfaction level and behavioral intention of visitors in a health care and medical equipment fair in consideration of their benefits sought. The purpose is basically meant to identify the relationship of variables related to the satisfaction level of the visitors, their satisfaction level with benefits sought and behavioral intention to provide useful information to hosts of health care and medical equipment fairs and related people. The subjects in this study were 250 people who were selected from among the visitors in a health care and medical equipment fair in Wonju. After a survey was conducted, the collected data were analyzed by SPSS 14.0 and AMOS 16.0 programs, and descriptive statistics, factor analysis, reliability analysis and structural equation modelling were utilized. The findings of the study were as follows: Benefits sought had a significant impact on satisfaction level and behavioral intention, and satisfaction level affected behavioral intention in a significant manner as well. So all the hypotheses formulated in the study were accepted, and those who hosted a health care and medical equipment fair should try to address the needs of participants in the light of their characteristics and provide appropriate event products and services to stir up their satisfaction level and behavioral intention.
The research regarding the important attribute which gives an effect to golf club membership purchase. 1990's as the golf boom as percentage shows the rapid increase of the golf course visitor and it grows, from 2001 are passing over ten million people golf course visitors. When purchasing golf club membership, it is important from the research which it sees the attributes which it thinks probably are what, it grasped and the scope of research did Seoul and the metropolitan area golf user in the object and it executed an empirical.analysis. In order to raise the reality and a reliability of research also it executed the collection and a Question investigation and a empirical analysis of various statistical data. The result of research a frequency analysis, descriptive analysis, factor analysis, multiple regression analysis and a correspondence analysis used the SPSS/PC+ 10.0 which and is a statistics package program. The results show that four dimensions of image were derived from 14 important attributes, using a factor analysis. A correspondence analysis indicates that statistically significant relationships existed between some of Golf club membership factors with respect to the demographic variables of income and Golf frequency. A multiple regression analyses also indicate that most of Golf club membership factors had great impacts on visitors' recommend.
Journal of the Korean association of regional geographers
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v.19
no.3
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pp.446-453
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2013
Festivals using plant phenology is one of the examples can represent the ecosystem services. Changwon Jinhae Gunhangje is typical spring festival using cherry blossoms phenology. This research was done to define relationship between flowering of cherry blossoms and Gunhangje. Phenological data (Julian day) of cherry blossoms and visitor number of Gunhangje from 1987 to 2013 were collected. Differences of Phenological phase of cherry blossoms and duration of Gunhangje was analyzed. Trend analysis was performed to know changes of flowering and budding day of cherry blossoms. Correlations between visitor number of Gunhangje and environmental factors was defined by factor analysis and regression analysis. Results are showed that during the 26 years, periodicity of flowering and budding day was not identified or even identified it was not significant. Environmental factors effect on visitor numbers of Gunhangje were defined as temperature factor, day factor, and precipitation factor. Temperature factor was significantly correlated with visitor numbers of Gunhangje. Though Flowering day of cherry blossoms and festival duration was not matched, however, difference of visitor numbers was not showed. These results suggest that fixed duration of Gunhangje would be more effective to visitors than changing the festival duration following the phenological day changes of cherry blossoms.
Journal of the Korea Fashion and Costume Design Association
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v.16
no.3
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pp.117-133
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2014
The purpose of this study was to compare with shopping behavior and satisfaction of who have visited Dongdaemun and Myeongdong and to provide the fundamental data for differentiation strategy of two fashion trading area. The survey was carried out targeting shoppers who were in Dongdaemun and Myeoongdong and then a total of 778 questionnaires were used for the data analysis; frequency, t-test, chi-squre independence test using SPSS. 20. The results of this study were as follows. Main shoppers in Dongdaemun were the teenagers and twenties, and in Myeongdong were twenties and thirtys. The shoppers who have visited Dongdaemun significantly considered 'store factor' such as store size and comfortability, store interior, store location and accessibility, and 'product factor' including material and quality, design, formfitting, and various sizes, while Myeongdong visitors thought 'promotion factor'such as business hours, one stop shopping, sale and event etc. as important factor. The degree of satisfaction for marketing mix of Myeongdong trade area was higher than Dongdaemun's one. The case of impulse buying in two trade area was not high, while intention to revisit Dongdaemun and Myenongdong was all higher than average. Consumers were more intended to recommend Myeongdong over Dongdaemun to others.
In recent years, the retail industry has been undergoing major shifts. Outlet malls are an important part of the new retail landscape. This paper seeks to increase the understanding of the shopping experiences of visitors to a Premium outlet shopping mall in Shinsagae Chelsea Premium Outlet at Paju City, Gyeongi-do. This paper analyze the Element of the premium outlet across demographics. It explores seven critical factors which significantly influence customers' perceptions of premium outlet. Findings are base on a mall intercept survey with 292 respondents across a range of demographics. The summary of 7 factor is classified as the visual, location, Shopping support, human traces, mood, transit expedience, and tenant. The main implication of these findings is that factory outlet stores are perceived favourably and that they need to build more positive marketing strategies accordingly.
Journal of the Korean Institute of Landscape Architecture
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v.49
no.2
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pp.61-73
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2021
This study aimed to identify the landscape perception and landscape characteristics of users by utilizing SNS data generated by their experiences. Therefore, how to recognize the main places and scenery appearing on the island, and what are the characteristics of the main scenery were analyzed using online text data and photo data. Text data are text mining and network structural analysis, while photographic data are landscape identification models and color analysis. As a result of the study, First, as a result of frequency analysis of Bakji·Banwol-do topics, we were able to derive keywords for local landscapes such as 'Purple Bridge', 'Doori Village', and location, behavior, and landscape images by analyzing them simultaneously. Second, the network structure analysis showed that the connection between key and undrawn keywords could be more specifically analyzed, indicating that creating landscapes using colors is affecting regional activation. Third, after analyzing the landscape identification model, it was found that artificial elements would be excluded to create preferred landscapes using the main targets of "Purple Bridge" and "Doori Village", and that it would be effective to set a view point of the sea and sky. Fourth, Bakji·Banwol-do were the first islands to be created under the theme of color, and the colors used in artificial facilities were similar to the surrounding environment, and were harmonized with contrasting lighting and saturation values. This study used online data uploaded directly by visitors in the landscape field to identify users' perceptions and objects of the landscape. Furthermore, the use of both text and photographic data to identify landscape recognition and characteristics is significant in that they can specifically identify which landscape and resources they prefer and perceive. In addition, the use of quantitative big data analysis and qualitative landscape identification models in identifying visitors' perceptions of local landscapes will help them understand the landscape more specifically through discussions based on results.
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