• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1437-1449
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• 2023

The purpose of this study is to analyze whether pervious and impervious areas in urban areas affect tree growth. In order to determine the differences in the growth of six species of trees planted simultaneously, the effects of pervious and impervious surfaces on tree growth were analyzed using the Normalized Difference Vegetation Index (NDVI) produced using Sentinel-2 and sub-divided land cover map from the Ministry of Environment. For this purpose, the Geospatial eXplainable Artificial Intelligence(GeoXAI) concept was applied. As a result of the analysis, the explanatory power of the model was found to be the best when considering the area of land cover included in the 10m range for Pinus densiflora, the 20 m range for Zelkova Serrata, Metasequoia glyptostroboides, and Ginkgo biloba, the 30 m range for Platanus occidentalis, and the 40 m range for Yoshino cherry trees. In addition, the wider the pervious area, the more active the growth of trees,showing a positive correlation, and the wider the impervious area, such as nearby artificial ground, showed a negative correlation with tree growth. This shows that surrounding pervious and impervious areas affect the growth of trees and that the scope of influence varies depending on the tree species.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.81-98
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• 2024

This study analyzed the impact of urban spatial factors on the thermal environment. The personal thermal sensation was set as the unit of thermal environment to analyze its correlation with environmental factors. To collect data on personal thermal sensation, Living Lab was applied, allowing citizens to record their thermal sensation and measure the temperature. Based on the input points of the collected personal thermal sensation, nearby urban spatial elements were collected to build a dataset for statistical analysis. Logistic regression analysis was conducted to analyze the impact of each factor on personal thermal sensation. The analysis results indicate that the temperature is influenced by the surrounding spatial environment, showing a negative correlation with building height, greenery rate, and road rate, and a positive correlation with sky view factor. Furthermore, the road rate, sky view factor, and greenery rate, in that order, had a strong impact on perceived heat. The results of this study are expected to be utilized as basic data for assessing the thermal environment to prepare local thermal environment measures in response to climate change.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.5
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• pp.927-936
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• 2016

This research aims to analyze the effect of different types of urban parks and their locational characteristics on the apartment price in the entire metropolitan area of Busan, Korea. Although an urban park is an environmental good that influences the surroundings in many ways, most of the previous studies have underestimated its impact on the value of the surrounding area. This research focuses on the economic value of urban parks by understanding their relationship with the value of the apartments in the surrounding area with its significance in their physical and objective characteristics. Furthermore, the research emphasizes the different typological characteristics of urban parks in the analysis. In summary of the result, the number of levels (stories) and units of the apartment complex, ranking of the contractor, age of a park and accessibility to sub-central are positively related to the price of apartment units. On the other hand, the total area of apartment complex, the age of apartments, the distance to the nearest park and accessibility to civic-central or regional district are negatively related to the price of apartment units. Having a plan for constructing a park is also positively related to the price. For the typological characters of a park, neighborhood park, small-sized park, and sports park are positively related to the price, while children's park is negatively related to the price of apartment units. Considering that the price increases as the distance to the nearest park decreases, people prefer to live near the benefits that urban parks provide. In order to maximize the value and benefits that parks provide, it is necessary to approach them creatively.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.441-446
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• 2010

이상기후에 의한 집중호우의 증가 및 강우량의 변동 등은 단순 기상현상의 변화에서 그치지 않고 우리가 삶을 영위하는 환경에 영향을 미치고 있으나 이상기후 영향을 정량적으로 표현하는 연구는 아직 미진하다. 이러한 환경적인 변화에 대응하여 피해를 감소시키기 위해서 구조적 대책과 비구조적 대책 등이 시행되고 있다. 비구조적 대책의 대표적인 예로 우리나라에서는 풍수해보험제도가 시행중이다. 풍수해보험제도를 활성화하기 위해서는 보험 목적물인 주택, 비닐하우스, 축사 등이 어떤 피해 패턴을 보이고 또한 통계청 및 소방방재청, 국토해양부 등 유관기관에서 발표하는 계량 지표와 어떠한 관계가 있는지를 검토하는 것이 필 요하다. 본 연구에서는 이러한 유관기관의 다양한 계량자료 중에서 시군구 단위의 수방기준준수여부, 보험목적물의 피해액, 자연재해위험지구의 수와 정비율, 그리그 국가하천과 지방하천에 대한 하천정비율을 이용하여 보험목적물과의 관계를 규명하였다. 분석결과 풍수해보험목적물의 피해액과 하천정비율, 자연재해위험지구 정비율은 뚜렷하게 음의 상관성을 갖는 것으로 나타났다. 분석된 자료를 현행 보험요율과 비교하여 할인 여부를 분석한 결과 수도권 및 광역도시의 할인율이 높게 나타났고 상대적으로 충청남도와 전라북도가 낮은 할인율로 나타났다.

• Journal of Korea Planning Association
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• v.53 no.7
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• pp.49-66
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• 2018

The purpose of this study is to analyze neighborhood environmental factors affecting bicycle accidents and accidental severity in Seoul, Korea. The use of bicycles has increased rapidly as daily transportation means in recent years. As a result, bicycle accidents are also steadily increasing. Using Traffic Accident Analysis System (TAAS) data from 2015 to 2017, this study uses negative binomial regression analysis to identify neighborhood environmental factors affecting bicycle accidents and accidential severity. The main results are as follows. First, bicycle accidents are more likely to occur in commercial and mixed land use areas where pedestrians, bicycle and vehicles are moving together. Second, bicycle accidents are positively associated with road structures such as four-way intersection. In contrast, three-way intersection is negatively associated with serious bicycle accidents. The density of speed hump or street tree is negatively associated with bicycle accidents and accidential severity. This finding indicates the effect of speed limit or street trees on bicycle safety. Fourth, bicycle infrastructures are also important factors affecting bicycle accidents and accidential severity. Bicycle-exclusive roads or bicycle-pedestrian mixed roads are positively associated with bicycle accidents and accidential severity. Finally, this study suggests policy implications to improve bicycle safety.

• Journal of Environmental Impact Assessment
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• v.28 no.6
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• pp.568-579
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• 2019

The present study aims to identify the effect of land cover categories on particulate matter (PM) concentrations by analyzing the correlation between monthly PM concentrations in Seoul's air quality monitoring network and the percentages of land cover categories by buffers around air quality monitoring stations. According to a monthly correlation analysis between land cover categories and PM concentrations, in the buffer 3km, PM₁₀ showed a better correlation than PM_2.5, there was a clear negative correlation with the forest area, the grassland and the urbanized area had some positive correlation with PM₁₀, and the barren land and the urbanized area had some positive correlation with PM_2.5. According to a monthly correlation analysis of dominant land cover sub-categories and sub-sub-categories within the buffer 3km, PM₁₀ showed a clear negative correlation with the broad-leaved forest, and some positive correlation with the road was dominant. PM_2.5 showed partly negative correlation with the broad-leaved forest and partly positive correlation with the commercial area. There was a very low or no correlation with other grassland and bare land subcategories. A monthly stepwise regression analysis on noticeable land cover sub-categories and sub-sub-categories with positive or negative correlations revealed that an increasing percentage of the broad-leaved forest had a clear effect on reducing PM₁₀ concentrations, and the road was excluded from the selected variables. Although an increasing percentage of the commercial area had some effect on increasing monthly PM_2.5 concentrations and an increasing percentage of the broad-leaved forest had an effect on decreasing the PM_2.5 concentrations, their effect size was smaller than that on PM₁₀. The forest area around the city center had the largest and clearest effect on reducing PM concentrations. The urbanized area's sub-categories and sub-sub-categories were also confirmed to have some effect on increasing PM concentrations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4D
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• pp.565-571
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• 2006

This study aimed to analyze access mode choice behavior for KTX Passengers. To fulfill the aims of this study, Dong-Daegu Station was selected as a station for a case study. This study takes place in two stages. These are (i) descriptive statistical analysis of transportation status before and after introduction of the KTX, (ii) empirical model estimation for analyzing access mode choice behavior. This study makes use of the data from travel survey from Daegu metropolitan area. The main part of the survey was carried out in the KTX Dong-Daegu station. The data was collected from a sample of 1,800 individuals. The survey data includes the information on travel from Dong-Daegu station to Seoul. From descriptive statistical analysis of transportation status before and after introduction of the KTX, it is found that revealed demand of the KTX is lower than that expected. Moreover, it is found that the low demand of the KTX stems from high cost for the KTX itself and inconvenience( including travel time and cost) of access mode. In order to analyze mode choice behavior for accessing Dong-Daegu station, multinomial logit model structure is used. For the model specification, a variety of behavioral assumptions about the factors which affect the access mode choice, were considered. From the empirical model estimation, it si found that access travel time and access travel cost are significant in choosing access mode. Given the empirical evidence, we see that improvement of access transportation system for Dong-Daegu station is very important for enhancing the use of KTX.

• The Journal of the Acoustical Society of Korea
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• v.42 no.2
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• pp.152-160
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• 2023

Sound barrier walls are the most basic way to cope with noise problems in urban residential environments. The most important acoustic function of sound insulation board is represented by sound transmission loss and sound absorption coefficient. However, Korea has not yet established a standard for measuring the sound absorption rate of sound insulation boards. In addition, even in the European standard, where the overall acoustic standard of soundproofing boards has already been established, the sound absorption rate is applied only to the standard for measuring the sound absorption rate of general building finishing materials, and a separate measurement method considering the characteristics of soundproof walls and soundproofing boards is not presented. The sound absorption coefficient should be evaluated by summing up the energy absorbed into the material as well as the energy transmitted through the material, but the current European standard has a problem in that the transmitted sound energy is not taken into account. In this paper, we reviewed the sound absorption coefficient measurement standards of sound insulation boards currently being presented, and verified the difference between the results and the new measurement method considering transmission sound for sound insulation boards actually used in Korea.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.288-304
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• 2022

Walking is an eco-friendly and sustainable means of transportation that promotes health and endurance. Despite the positive health benefits of walking, pedestrian safety is a serious problem in Korea. Therefore, it is necessary to investigate with various studies to reduce pedestrian-vehicle crashes. In this study, the cognitive characteristics affecting pedestrian-vehicle crashes were considered by applying deep learning semantic segmentation. The main results are as follows. First, it was found that the risk of pedestrian-vehicle crashes increased when the ratio of buildings among cognitive factors increased and when the ratio of vegetation and the ratio of sky decreased. Second, the humps were shown to reduce the risk of pedestrian-related collisions. Third, the risk of pedestrian-vehicle crashes was found to increase in areas with many neighborhood roads with lower hierarchy. Fourth, traffic lights, crosswalks, and traffic signs do not have a practical effect on reducing pedestrian-vehicle crashes. This study considered existing physical neighborhood environmental factors as well as factors in cognitive aspects that comprise the visual elements of the streetscape. In fact, the cognitive characteristics were shown to have an effect on the occurrence of pedestrian- related collisions. Therefore, it is expected that this study will be used as fundamental research to create a pedestrian-friendly urban environment considering cognitive characteristics in the future.

• Journal of Digital Convergence
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• v.16 no.5
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• pp.75-84
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• 2018

The purpose of this study was to analyze the regional distribution of the number of social welfare facilities per 100,000 population by using the concentration index(CI) and to evaluate the relationship with the local welfare environment. The results of the analysis are as follows. First, the distribution of social welfare facilities between urban and rural area were distributed in rural areas. And concentration of rural area was gradually decreasing. Second, the concentration index of the social welfare institution was calculated as the negative index. Therefore, social welfare facilities are concentrated in rural areas. However, the absolute value of concentration index decreased. Finally, there are many social welfare facilities in areas with poor economic conditions, low incomes, low welfare budget input, and poor social demolition indicators. In the future, the relationship between inequality of regional distribution of welfare resources and the relationship between local welfare environment should be continuously monitored.