• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.100-116
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• 2019

Urban green spaces, as a means to mitigate social problems and environmental risks, are getting more attention in evaluating urban environment. The inequity of green space distribution is becoming a major issue in urban planning and management. This study investigated the characteristics of green space in 3 districts (Jung-gu, Dongdaemun-gu, Seongdong-gu), that are composed of 46 administrative divisions in central Seoul, to analyze the environmental equity of urban green spaces. The correlations between the amount of green space, including the coverage of street trees, and the socioeconomic status of each administrative division were analyzed. To deduce the effects of plant coverage on the urban temperature regime, the relationship between the normalized difference of vegetation index (NDVI) and land surface temperature (LST) was analyzed. The research revealed that the mean NDVI of an administrative division was negatively correlated with the percentage of basic living recipients and disabled people. The LST of a division with low NDVI was higher due to the lack of green coverage. Such environmental inequities were closely related to residential building type, which was strongly affected by the economic status of residents. The LST of an apartment area was $2.0^{\circ}C$ lower than that of single-family houses and multi-housing areas. This is expected as the average NDVI of the apartment area was more than twice as high as the other environments considered in this study. The inequity can be exacerbated without urban planning which is deliberately designed to reduce it.

• Journal of the Korean association of regional geographers
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• v.23 no.2
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• pp.403-419
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• 2017

This study analyzed the forces to drive the change of urban green spaces in Daegu from 1989 to 2009. First, the loss and fragmentation of green spaces in the past 20 years were spatially identified by performing the hot spots analysis for the cell-based spatial metrics quantifying the size and diversity of green spaces. Next, seven drivers such as slope, distance to roads, land price, population density, ratios of residential, commercial, and industrial areas were selected based on the previous studies and the direction of the association between the loss and fragmentation of green spaces and seven drivers was analyzed with the stepwise logistic regression. Finally, the relative importance of the seven drivers and their interactions in the past 20 years were analyzed with the geographical detector. The results show that the loss of green spaces was concentrated on a part of the Anshim housing development district from 1989 to 2009 and green spaces were highly fragmented around the housing development districts such as Seongseo, Anshim, Dalseong-gun and Chilgok. The forces to drive the loss and fragmentation of green spaces in these areas were different at the administrative levels, but the drivers such as slope and ratios of residential and industrial areas were commonly significant. These drivers were positively correlated with largest patch index(LPI) quantifying the loss of green spaces while they were negatively correlated with Shannon's diversity index(SHDI) measuring the fragmentation of green spaces. In other words, the loss and fragmentation of urban green spaces in Daegu appeared around such regions with lower slope and lower ratios of residential and industrial areas. The relative importance of drivers for LPI was listed as ratio of industrial area, land price, and ratio of commercial area in descending order whereas that of drivers for SHDI was listed as ratio of industrial area, land price, and distance to roads in descending order. Also, the interaction between slope and ratio of residential area had a great impact on LPI and SHDI. The ratio of industrial area was a single driver to most significantly explain the loss and fragmentation of urban green spaces in Daegu in the past 20 years. The interaction between slope and ratio of residential area was greater than the independent influence of a single driver. This study will provide the base data to build a sustainable urban green policy for the city of Daegu in the near future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.349-354
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• 2020

The preliminary investigation to expand the green space requires a lot of cost and time. In this paper, we solve the problem by measuring the ratio of green space in a specific region through a convolutional neural network based the green space classification using Google Earth images. First, the proposed method collects various region images in Google Earth and learns them by using the convolutional neural network. The proposed method divides the image recursively to measure the green space ratio of the specific region, and it determines whether the divided image is green space using a trained convolutional neural network model, and then the green space ratio is calculated using the regions determined as the green space. Experimental results show that the proposed method shows high performance in measuring green space ratios in various regions.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.6
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• pp.43-51
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• 2013

This study aims to examine the presence of non-stationary relationship between water quality and land use in watersheds. In investigating the relationships between land use and water quality, most previous studies adopted OLS method which is assumed stationarity. However, this approach is difficult to capture the local variation of the relationships. We used 146 sampling data and land cover data of Korean Ministry of Environment to build conventional regressions and GWR models for BOD, TN and TP. Regression model and GWR models of BOD, TN, TP were compared with $R^2$, AICc and Moran's I. The results of comparisons and descriptive statistics of GWR models strongly indicated the presence of Non-Stationarity between water quality and land use.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.59-74
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• 2015

The purpose of this study is to analyze reasonable green area ratios for mitigating urban heat island considering various land use types. Land uses of 5 types such as single residential, multi residential, commercial area, public facility, and industrial area were considered. Green areas were extracted from the tree attribution of land cover. Effect of urban heat island was analysed by the surface temperature of ASTER thermal infrared radiance scanned daytime and nighttime. Mitigation effect of green area at daytime was higher than nighttime. Surface temperature of green area was low in single residential at daytime. But the difference of surface temperature by each land use type was small. The effect of surface temperature mitigation of green area was lower in industrial area. The results of reasonable green area ratios for mitigating urban heat island indicate that surface temperature was the lowest with green area ratio of 40~50% in single residential, multi residential, and commercial area at daytime. Surface temperature of nighttime was not changed much by green area ratios. Therefore, the results of this study will be suggested in urban development planning to construct effectively green area for mitigating urban heat island.

• Journal of the Korean association of regional geographers
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• v.22 no.3
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• pp.666-680
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• 2016

Four parks were selected to study the current situation after large scale suburban housing development in the 1990s. Since housing development road network have expanded with other facilities. First of all, green space area available per housing unit is 7.11- 22.0 sq. m. These parks neither extend as green corridor with surrounding hillside mountains (the river or lakes) nor act as the wind path from the mountains. Some housing units have reconstructed and the others will be redeveloped in near future which would more challenges for the residents in terms of quality of their life.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.4
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• pp.1-9
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• 2014

The interest group and corporation in Korea have cultivated Suaeda grass in the source area every year as a plan to prevent the yellow dust due to Chinese desertification. It needs the afforestation analysis about the research area to plan the greenbelt environment development in the region of yellow dust origin. Thus, this research analyzed the greenbelt environment based on Landsat 5 TM satellite image and Landsat 8 image to grasp and analyze the present of greenbelt environment development. And this research analyzed the inside of the salt desert to understand the detailed greenbelt environment and vegetation index. As a result, it represents that the afforestation was accomplished efficiently between 2009 and 2011, while the greenbelt area was decreased rapidly and bare soil was increased between 2011 and 2013. Through these results, we could recognize that it is in trouble about the greenbelt environment development after 2011 and it needs the project implementation using satellite image when the next afforestation project is planned henceforth.

• Journal of Environmental Policy
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• v.9 no.1
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• pp.137-154
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• 2010

These objectives of this study were to compute heavy metal and accumulation carbon dioxide fixing quantity from urban green space(street trees and urban parks) in Cheong-ju city and Chungju-city and thus to estimate the effect of urban green space for improving the urban environment. The results are summarized below. 1. Results of the total accumulation of the carbon dioxide fixing quantity of street trees, Cheong-ju city and Chungju-city street tree was 1, 230,000kg-C, 1,270,000 kg-C, respectively. Total accumulation carbon dioxide fixing quantity of Balssan urban park had a 25,000kg-C in Cheong-ju city, Degami sports park had a 6,400kg-C in Chungju-city. 2. Results of heavy metal for street trees, fell in the order Zn > Cu > Cr > Ni >, the highest accumulated heavy metal was Zn, and the lowest was Ni. Total heavy metal concentration according to land-use area, was observed in order, for residental areas(157.26 mg/kg) > industrial areas(141.71 mg/kg) > commercial areas(118.55 mg/kg) > and greenspace areas(61.95 mg/kg) in Cheong-ju city. 3. Total heavy metal concentration for street trees fell in the order of commercial areas(84.48 mg/kg) > residental areas(83.70 mg/kg) > and greenspace(48.23 mg/kg) according to land-use area in Chungju-city. Comparatively, Cheong-ju city had more total heavy metal concentration than Chungju-city. 4. Heavy metal for soil that planted street trees was observed in order of Zn > Cu > Pb( > Ni > Cr > As > Cd), and Zn was highest, and Cd was lowest. Total heavy metal concentration for soil fell in the order commercial area(91.82mg/kg) > industrial area(85.96mg/kg) > residental area(67.55mg/kg) > greenspace(43.13mg/kg) according to land-use area in Cheong-ju city. 5. Heavy metal for soil that planted street trees was observed in order of Zn > Pb > Cu( > Ni > Cr > As > Cd, and Zn was highest. Total heavy metal concentration for soil fell in the order commercial area(87.66mg/kg) > greenspace(72.73mg/kg) $${\geq_-}$$ residental area(70.10mg/kg) in Chungju-city.

• Proceedings of the Korean Society of Community Living Science Conference
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• 2004.05a
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• pp.164-164
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• 2004

농촌의 녹지공간은 일상생활에서 많은 사람들이 쉽게 접근하여 휴식과 휴양을 즐기거나, 개개인이 자아를 발견하고 재창조하는 장소로 농촌이 있음으로 발생되는 논, 밭, 목야, 과수원, 산림, 마을숲, 하천, 호수 등을 말한다. 이러한 농촌의 녹지공간은 심리적으로 인간이 아름다운 경관을 보고 즐길 수 있는 마음을 가지게 하며, 환경 보전적으로 지역의 생태계를 보전하고 미기후를 조절하기도 한다. (중략)

• Environmental and Resource Economics Review
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• v.30 no.1
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• pp.1-26
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• 2021

This paper aims to examine economic values of green spaces for non-Capital areas that have been rarely studied. Choice experiments were applied to two dissimilar but adjoining areas: The City of Jeonju and Wanju County. Split-sample surveys allowed to compare between apartment dwellers and single- or multi-family house dwellers, and across differing types of green spaces. According to the results, significant and substantial preferences might prevail not only for large cities, but also for agricultural areas. The mean willingness-to-pay (WTP) values of apartment dwellers for the view of a river/lake or mountain were generally smaller than those of Seoul, while the overall access values showed the opposite relationships. House dwellers in Jeonju showed substantially larger economic values for green spaces than those of the counterparts in Seoul, except for the access value of a river/lake. The findings grant follow-up studies investigating the reasons for the anomalous preferences particularly in Jeonju and identifying new management policies for non-Capital areas.