• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.1
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• pp.1-11
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• 2013

In nature, to change the consciousness of those who wish to pursue something new, the road is turning function-oriented 'Walking Path' into purpose-oriented 'Walking Trails'. Though 'Walking Trails' is a long linear journey that leads people to see, to feel and to experience while walking on the trail, but considering on the landscape of trails when selecting routes is lacking. Landscapes, which are felt and perceived while walking on the trail, provide a purpose, and can be an important factor to improve visitor satisfaction. However, the study is insufficient in terms of landscape of trails. Therefore, it is the purpose of this study to find ways to help improving visitors' satisfaction in selecting routes, by analyzing the images and preferences of trails landscapes that are visually perceived, by analyzing the correlation between visitors' satisfaction and them. For this study, landscape assessment was carried out after selecting representative landscape photos of BukhansanDulegil 13 sections and landscape images adjectives for landscape assessment. Through the assessment, analyze landscape images of each section, landscape images factors affecting a wish to walk and landscape preferences, relationship between visitors' satisfaction and them. 'Refreshing' image was higher on the path with many trees and less artificial elements; 'urban' image was higher on the path with artificial elements. 'A wish to walk' and 'landscape preference' was higher on the path showed 'refreshing' and 'pastoral' image with many natural elements. Factors affecting 'a wish to walk' were "refreshing-unpleasant", "impressive-ordinary", factors affecting 'landscape preference' were "refreshing-unpleasant", "comfortable-uncomfortable". In addition, landscape preference was found to have a high correlation with visitors' satisfaction.

• Korean Journal of Environment and Ecology
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• v.9 no.2
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• pp.232-249
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• 1996

The purpose of this is to suggest objective basic data for the use development and conservation management of the national park through the quantitative analysis of the visual quality included in the physical environment of the Odaesan National Park, for this, spatial images structure of physical elements have been analyzed by factor analysis algorithm and degree of visual quality have been measured mainly by questionnaries. Result of this thesis can be summarized as follows. Factors covering the spatial image of the Odaesan National Park landscape have been found to be the pverall synthetic evaluation, physical, spatial, natural quality and, appeal factors such as the overall the synthetic evaluation, spatial and appeal yield high factor scores. As for the factors determining the degree of visual quality of clear of valley, peculiarity of configuration, natural of trail, harmony of suitable artificaial planting and temple.

• 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.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.429-439
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• 2013

This study, as a purpose of viewshed anaiysis is selected for the landscape view point, View of the target Haenam Dalmasan Mihwangsa(Scenic site No.59) located in the terrain ridge. Criteria of landscape view point was built through both 3D visibility analysis by GIS and public preference. In results could be summarized as follows : Criteria of landscape view point by GIS was confirmed to be appropriate since a result of average score for 36 data calculated by 3D visibility analysis was higher than intermediate score. Futhermore, the landscape view point with higher score could be associate with higher public preference was determined. 3D visibility analysis in this study should be implemented additionally with not GIS, public preference but distance and extent of visibility research to discover, maintain and preserve objective and empirical landscape view point to public as resources of scenic sites.

• Journal of the Korean Institute of Landscape Architecture
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• v.20 no.3
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• pp.11-20
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• 1992

본 논문에서는 사람이 환경을 통해 경험하는 미학적 경험(aesthetic experience)을 체계화시킨 이론적 모델(a conceptual model of affect and cognition interface in aesthetic experiences of landscapes)이 간단히 소개 되며, 이 모델을 검증하기 위한 연구가 중점적으로 다루어진다. 제시된 모 델은 경관의 미학적 경험을 감정(affect)과 인지(cognition)와의 상호작용 (interface)으로 설명하고 있으며, 세 가지 요소(사람이 환경에 대하여 갖고 있는 목적 : tasks, 사람의 모든 과거경험에 근거한 지식일체 : schematic knowledge, 환경의 독특한 상황 : environmental situation)를 미학적 경험 의 주요인자로 제시한다. 이 모델을 검증하기 위한 연구에서는 앞에서 소 개된 미학적 경험의 세 가지 요소(사람의 목적, 지식, 환경상황)를 과학적 이고 계량적이고 처리할 수 있도록 세부요소로 분류정의 (operationalization)하였다. 구체적으로, 사람의 목적은 환경을 평가하는 세 가지 목적, 즉 경치평가(scenic beauty judgment), 들놀이 목적으로서의 평가(picnic preference judgment), 주거목적으로서의 평가(living preference judgment)로 분류되었고, 이 세 가지 환경평가는 미학적 경험의 지표로 사용되었다. 사람의 지식은 국적에 근거한 문화적인 지식(cultural schema : 한국인과 텍사스인)과 직업에 근거한 사회적인 지식(social schema : 농부, 비농부, 조경학과 학생)으로 분류되었으며, 환경상황은 환 경의 아름다움(beauty : 아름다운 경관과 아름답지않은 경관)과 환경의 의 미(meaning : 긍정적인 의미가 있는 한국경관, 긍정적인 의미가 없는 한국 경관, 긍정적인 의미가 있는 미국 텍사스경관)로 분류되었다. 연구결과를 보면, 이론적 모델에서 소개된 세 가지 요소들 (사람의 목적, 지식, 환경상 황) 모두가 경관의 미학적 경험에(경치평가, 들놀이 선호도, 주거지 선호 도) 중요한 역할을 하는 것으로 밝혀졌으며, 이 연구결과는 제시된 이론적 모델을 뒷받침하고 있다. 특히, 가장 흥미로운 연구결과를 요약하면 첫째, 사람의 문화적인 지식은 단독으로 미학적 경험에 영향을 주는 것이 아니라 다른 요소들(특히 사회적인 지식과 목적)과의 상호작용을 통해 미학적 경 험을 형성한다는 것으로 밝혀졌다. 둘째, 환경의 아름다움은 다른 세부요소 들(환경의 의미, 사람의 목적과 지식)보다 미학적 경험에 주는 영향이 큰 것으로 나타났으며, 모든 사람들에게 비슷한 미학적 경험을 발생시키는 것 이 밝혀졌다. 다시 말하면 모든 사람들은 그들의 문화적인 국적과 사회적 인 직업의 차이, 목적의 차이, 또한 환경의 의미의 차이에 상관없이 아름다 운 경관(High-beauty landscape)을 주거지나 나들이 장소로서 선호했으며, 아름답다고 평가했다. 반면에, 사람들이 갖고 있는 문화의 차이, 직업의 차 이, 목적의 차이, 그리고 환경의 의미의 차이에 따라 경관의 미학적 평가가 달라진 것으로 나타났다.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.70-82
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• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.

• Journal of Korean Society of Forest Science
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• v.81 no.3
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• pp.287-298
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• 1992

The main purpose of this study is to obtain information on the factors influencing forest scenic beauty in order to make and manage scenic forest of recreation areas. 62 slides were taken for the study. Each photograph was independently judged by college students in 10 different major fields, with a total 264 observers after reliability test in the study. The ratings were scaled using a computer program developed by Brown & Daniel(1990). The results of rating scale analysis indicate that respondents' major field difference affects visual preference for forest scenic beauty. Similarly, with different sexual, forest visit frequency, and community type in childhood, people tend to rate their preference differently. The respondents' rating scale of relative scenic beauty of near-view forest scenes can largely be explained in terms of forest physical characteristics of forest landscape. Bare ground area and stash area are represented negative esthetic effects, while DBH, number of trees per hectare, sky area showed positive esthetic effects. These 6 variables in the model can be accounted for 74% of total variance in perceived forest scenic beauty. With this study result, it can be concluded that forest physical characteristics are significantly related to visual preference for near-view forest scenes.

• Journal of the Korean Institute of Rural Architecture
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• v.15 no.4
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• pp.103-110
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• 2013

This study aims to draw the basis documents for rural landscape management of Daewon-Ri through frequency analysis of landscape elements and preference analysis of rural landscape. The results are as follows. First, according to the frequency analysis of the landscape elements, a distant view is few effect characteristics in rural village landscape planning. It is acted as the landscape elements that degree of integration and skyline of the building to see more nearby than it are the most important. In addition, in the case of the establishment of the landscape management planning, the landscape elements in the close view is the most important. Second, It is thought that the scenery which natural environments and residential quarter match is the most desirable for the par of the landscape preference in the rural village. On the other hand, about the scenery of an old historic building, the residents of a city considers it as an affirmative factor of the rural village landscape, but rural village inhabitants are negative. Finally, it is thought that the excessive public designs by government sponsored enterprise are undesirable for the scene of the village.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.3
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• pp.80-86
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• 2012

This study is about selecting Landscape Viewpoint on Bukchon Hanok Village, Jongno-Gu, Seoul. The process on selecting photo spots was focused on visualizing elements, and it was hard to find an objective standard for selecting landscape viewpoint. Therefore, by literature review and site study, this study selects more objective and empirical Landscape View Point on Bukchon. Landscape Viewpoint Standards are Traditional Hanok Landscape, Historical Heritage Landscape, Alley Street Landscape, City Architecture Landscape, and Natural Forest Landscape. By Landscape Preference and Character of Place survey, this study finds out another Landscape Viewpoint and correlation of those variables. A coefficient of correlation is 0.846, and its correlation is considerably high. Through this result, it could provide a concrete standard for selecting Landscape View Point and a preliminary information for finding Landscape View Point on Histo-Cultural area.

• Journal of Navigation and Port Research
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• v.32 no.6
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• pp.505-513
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• 2008

Regarding the developmental plans for the coastal areas and marine architectures, this study deal with the overall planning of apartment complexes in waterfront areas, focusing upon the analysis of their comfort and convenience factors from the perspective of the potential residence. It also analysis the intra-complex comfort and satisfaction conditions in terms of their floor-by-floor, directional. and location factors. The results of the study are as follows: 1) The order of respondents' preference on directional factor has been found to be: South > Southeast > Southwest > East > others. 2) 67% of the people surveyed on scenery responded that outward view is considered more significant than the directional factor. 3) A comprehensive analysis of floor zone-specific view preference shared that there were only minor differences among quay wall, arc, and river-seashore types. The impact of the characteristics of the marine environments turned out to be a greater point of consideration; showing that the other of floor-preference is: high-level > ultra-high level > middle level > low level.