• Korean Journal of Heritage: History & Science
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• v.56 no.1
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• pp.162-180
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• 2023

The World Heritage Committee decided to make "cultural landscapes" a world heritage category in the 16th Session of the UNESCO General Conference. The decision was made from a recognition of the importance of interactions between human beings and the natural environment or between cultural heritage and natural heritage. Many countries have created policies and institutions to protect their own cultural landscapes along with the changing times. Korea, however, has not obviously defined the concepts and categories of its cultural landscapes, but manages policies and institutions based on the concept of a scenic spot, which has some similar meanings. In addition, it even borrows the "list of landscape adjectives," one of the representative methods for managing landscapes, from foreign countries. With this background, this paper suggested how to define cultural landscapes according to the global development flow. It created a list of cultural landscape adjectives by gathering the adjectives that can properly express local cultural landscapes in Korea. In particular, it collected 4,556 articles from a local newspaper by focusing on the case of Shinan-gun, Jeollanam-do, and analyzed key words and adjectives included in them by using big data analysis. The results suggested by this paper, such as the "classification table of cultural landscape types," "list of cultural landscape adjectives" and "network map of nouns/adjectives" can be applied to research on other localities, and furthermore, used as basic data for finding and protecting the characteristics of local cultural landscapes in Korea.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2003.03a
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• pp.65-68
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• 2003

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.1
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• pp.38-48
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• 2018

The purpose of this study is to improve the understanding of visual perception and to extend the landscape evaluation area by comparing eye-tracking evaluation and landscape adjective evaluation methods towards various type of nightscapes. As a result of the study, it showed that 'blink count', 'fixation duration average', and 'saccade duration average' of eye tracking measurements have a significant correlation with 'beautiful', 'interesting', 'accessible', 'satisfying', and 'safe' regarding landscape adjectives. In addition, there was a tendency toward areas of interests (AOIs) depending on 12 different nightscapes, which showed that the gaze was fixated by focusing on certain landscape elements such as 'door' and 'signs'. These results suggest that the eye-tracking method is an effective tool to specify the evaluation of 'landscape elements' rather than the 'whole landscape' and can be used as a basis to support landscape preference theories, which has been presented as conceptual only. In this way, the results of this study demonstrated the possibility of various applications of eye tracking as an objective landscape evaluation technique, and it is possible to suggest specific implications to landscape planning through the accumulation of continuous research results.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.2
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• pp.10-18
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• 2014

This paper interprets the hidden structure, layers and figures into cultural landscape, invisible landscape, by using landscape adjectives based on Place Memory of locals. Methods for obtaining local landscape information are through semi-standardized interview and autobiographical questionnaires. As a research site, Janghang in Korea which have experienced not only colonized and autonomous industrialization but also de-industrialization is a typical modern industrial landscape even in Asia. Thus, the landscape is interpreted as layered images like a stratum and as a dynamic landscape that changes over time. People only remember selected memories such as regional and national images affected from industrial developing paradigm in Korea. Some images of the landscape are distorted by powers and influenced by places of memory. This study brings us some discussions that 'What do we look at and remember about the landscape?'

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.28 no.3
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• pp.122-130
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• 2010

The Study takes the rivers in Zhouzhuang - traditional Chinese Kangnam watery landscape as the object. The purpose of this study is to grasp the relationships between visual characteristics and the preference. The following is the research process: Firstly, the theoretical study of Zhouzhuang, the traditional Kangnam region in China, is conducted, the watery landscape is taken pictures, and 22 photos are selected. Secondly, in order to grasp the visual preference and landscape characteristics of the watery landscape in Zhouzhuang, 22 pictures and 25 pairs of adjectives are adopted for the questionnaire survey. Thirdly, in order to have a better understanding on the physical properties and effects of physical quantity on the preference, the occupation ratios of buildings and sculptures, natural elements, footpaths, bank revetments and other landscape elements are calculated, and the mean analysis, dispersion analysis and regression analysis are conducted. In order to grasp the landscape characteristics and preference factors, 25 pairs of adjectives are used to conduct the factor analysis. In order to grasp the effects of characteristics of visual factors on the preference, the dispersion analysis and regression analysis are carried out. The results are as follows: From the results of the landscape preference analysis, in the No.22 photo with the top preference, 11 pairs of adjectives, namely, "harmonious-disharmonious", "beautiful-ugly", "rural-urban", "soft-rough", "stable-instable", "romantic-realistic", "cheerful-gloomy", "brilliant-simple", "natural-artificial", "familiar-strange", and "clean-dirty" have positive effects on watery landscape. It can be viewed as the relatively important factor in the visual preference. In terms of the results of visual physical quantity analysis of traditional Chinese Kangnam watery landscape, the landscape with high occupation ratio of buildings and sculptures has positive effects on visual preference. The results of analysis of visual physical quantity and preference show that the preference degree increases as the occupation ratio of footpath area increases. The analysis results of visual characteristics of traditional Chinese Kangnam watery landscape identify four factors, namely psychological factor, cultural factor, condition factor and physical factor. It can be concluded from the results of analysis of the relationships between visual preference and visual characteristics that the return coefficient B of the psychological factor is +0.936. It can significantly affect the watery landscape, so it can be identified as the most important factor among the visual preference factors of Chinese Kangnam watery landscape.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2023.04a
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• pp.61-62
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• 2023

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.51-61
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• 2010

According as the quality of life is improved along with economic growth, in the road plan and design sector also, it is now progressed that function oriented design is changed into the landscape oriented design that considers eyesight and emotion, which are psychological properties of users. Accordingly this study tries to come up with reasonable and objective methods to extract various emotional adjectives, which were found by the survey, while minimizing difference among characteristics of emotion and cognition of individuals. First, given semantic differential, based on various emotional adjectives that were found through the survey with the scale up to five points, the author extracted representative emotional adjectives through an element analysis, which is a conventional method of the previous research, and through an identification analysis which is suggested by this study, and then established model I of Quantification. And by using the established quantification model, the author presumed satisfaction degree, and through verifying pair wise comparison with actual satisfaction degree, the author found the results from identification and correlation analysis methods are most similar to actual satisfaction degree. As a result, the author could check the above emotional and correlation analyses were appropriate methods for comprehending which emotional elements are applicable when a continuous road landscape is designed by identification and correlation analyses.

• Current Research on Agriculture and Life Sciences
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• v.31 no.4
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• pp.256-264
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• 2013

This study presents a greening plan for the under space of elevated rail tracks to reducing landscape impairment and improve the streetscape. This study focuses on a section of the Daegu Metro line number 3 that includes a concentration of high-rise apartments and commercial areas. First, different types of planting were categorized for the under space of the elevated rail track, and then images of each planting type were created using a 3D simulation tool to evaluate the visual characteristics. The landscape images and related adjectives were assessed using a survey. As a result, rows of flower trees received the highest evaluation, and 'harmony' was identified as the most important factor affecting the railscape preference. These results can be important data for establishing an efficient greening plan for the under space of elevated rail tracks.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.166-178
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• 2023

This study aims to introduce and assess CNN Deep Learning methods to analyze visual landscape images on social media with embedded user perceptions and experiences. This study analyzed visual landscape images by focusing on a healing place. For the study, seven adjectives related to healing were selected through text mining and consideration of previous studies. Subsequently, 50 evaluators were recruited to build a Deep Learning image. Evaluators were asked to collect three images most suitable for 'healing', 'healing landscape', and 'healing place' on portal sites. The collected images were refined and a data augmentation process was applied to build a CNN model. After that, 15,097 images of 'healing' and 'healing landscape' on portal sites were collected and classified to analyze the visual landscape of a healing place. As a result of the study, 'quiet' was the highest in the category except 'other' and 'indoor' with 2,093 (22%), followed by 'open', 'joyful', 'comfortable', 'clean', 'natural', and 'beautiful'. It was found through research that CNN Deep Learning is an analysis method that can derive results from visual landscape image analysis. It also suggested that it is one way to supplement the existing visual landscape analysis method, and suggests in-depth and diverse visual landscape analysis in the future by establishing a landscape image learning dataset.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.2
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• pp.118-127
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• 2013

In this study, Seongbuk-dong historical & cultural resources of the surrounding landscape were analyzed by the visual characteristics of the landscape adjective analysis. Research was investigate to the relationship between visual characteristics and preferences and Research in the following way. Selected historical and cultural resources in the surrounding area are located in Seongbuk-dong 30 slices the survey was conducted. Landscape preference factors to identify the scale of 16 adjectives and then factor analysis was conducted. Lastly, Analysis of variance and regression analysis were conducted in order to determine the impact of the last image factors on visual preferences. Firstly, The results can be summarized as follows. Officer for 30 pictures appear in Seongbuk-dong in the historical and cultural resources, and distributed around the target preference for the 16 adjectives analysis yielded an average result of overall preference were analyzed and that is a 3.72 average. In these photos, VP8, VP9, VP10, VP12, VP15; 4.5 points more than one order higher. The reason is limit of altitude by the Seoul landscape plan for the historical and cultural resources around. It also judged important reason that history and Culture are in harmony with the surrounding cultural property in the conservation area. Secondly, Important factors are factor 1(aesthetic factors), factor 2(cultural factors), factor 3(physical factors) and three factors could be identified. Results of the analysis of variance and regression analysis about factors for visual preference and image shows value of psychological factor is most significant to explain for nearby history &cultural resources of Seongbuk-dong of scenery around. As a result, the state can not view historical and cultural resources for analysis will be located in a residential area near the historical and cultural resources for aesthetic factors. Third, the negative side of the argument is a residential area which is not arranged surrounding landscape maintenance of historical and cultural resources has emerged. Historical and cultural resources in harmony with the phenomena of the physical, cultural, and aesthetic characteristics of the three areas is a positive factor in the high incidence. Factors from that are expressed in this study by analyzing multi-dimensional analysis to derive a factor to be considered important in the management of historical and cultural resources, landscape around is required.