• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.569-572
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• 2008

A series of the field inspection and the test have been performed on 297 existing bridges, in order to evaluate the bridges since 1995. In this study, based on the test results of the in-depth inspection, the identification of the extent of the chloride content and the incidence of the carbonation depth was conducted, and construction age and member type, environment condition were considered in this analysis. According to simple regression of the tested carbonation depth, the carbonation rate coefficient of the bridges in metropolises was estimated 5.41 and greater than 3.89 and 1.91 in case of marine condition and etc respectively. After measuring chloride content in concrete member, it was concluded that the chloride content of the bridges in marine condition was 4.7 times greater than the others. Especially, slabs had the most highly chloride content and it was estimated 0.709 $kg/m^3$

• Journal of agricultural medicine and community health
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• v.44 no.2
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• pp.65-72
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• 2019

This study aimed to identify the prevalence of communicable diseases at household level and associated risk factors among urban slum residents of Rupandehi district of Nepal. A cross-sectional study was carried out among a total of 259 purposively selected households in the urban slum of Butwal sub-metropolitan city, Rupandehi, Nepal between 25 November and 7 December, 2018. Prevalence of communicable diseases in the households within past one year were reported followed by assessment of risk factors associated with prevalence of communicable diseases using multivariable logistic regression analysis. The study result revealed that out of 259 study participants, more than two third (71.8%) reported to have at least any one of the communicable diseases in the household within past one year, and most common (91.9 %) reported to have cold and cough and diarrheal diseases. Final multivariable logistic regression analysis showed that study participants who did not have appropriate lightening in their houses were more likely (aOR 2.75; 95% CI (1.356-5.586)) to have communicable diseases. This study recommends understanding of the existing prevalence of communicable diseases and risk associated with it while designing health promotion activities and appropriate urban planning in Nepal.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.21-21
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• 2023

현재 구축되어있는 방재시설의 능력은 기후위기로 인해 수용가능한 극한강우량의 범위를 넘어서고 있어 대형화된 홍수로 인한 피해가 꾸준히 발생하고 있다. 이로 인해 잠재적 홍수로 인한 도시회복도 관리와 홍수로 수반되는 피해에 대한 복구의 중요도가 높아지고 있다. 회복도는 도시의 재해 취약성, 저항, 적응, 복구, 완화에 대한 능력을 포괄하는 개념으로써 최근 주목받고 있는 개념이지만 대부분의 연구는 주로 시설에 대한 회복도 평가가 이루어지고 있다 (Sen et al.,2021). 또한 재해 후 도시복구에 관한 연구는 다수 존재하지만 복구에 따른 지역의 회복도 변화와 라이프라인과 같은 주요 시설의 복구에 따른 회복도 차이를 고려한 연구는 미비한 실정이다. 따라서 본 연구에서는 도시침수 발생 후 라이프라인을 고려한 도시복구 우선순위 산정모델을 개발하고 재해관리의 효율성 향상측면에서 도시의 기능적 회복도를 평가하였다. 이를 위해 라이프라인 중 도로 복구결과의 평가를 위하여 리스크 매트릭스 기법을 이용한 도로위험도평가를 수행하였으며 도시의 회복도를 측정하였다. 회복도를 크게 홍수로부터 도시가 받은 영향과 재해복구역량으로 구성하였으며 정량적인 평가를 위해 각각 손상함수와 재해재난목적예비비를 활용하여 산정하였다. 이후 복구우선순위를 산정하였으며 복구와 도시회복도와의 관계를 분석하기 위하여 재해연보 자료를 기초로 회귀분석을 통해 복구비용을 추정하였다 (유순영 등.,2014). 시범지역에 적용한 결과 시설 및 도로 복구에 따른 도시영향의 변화보다 복구비사용으로 인한 재해복구역량의 변화가 더욱 크다는 것을 확인하였다. 이는 재해재난목적예비비의 중요성이 크다는 것을 의미하며 향후 추가적인 인문학적, 법제적 요소가 회복도에 미치는 영향을 연구한다면 도시회복도 향상 및 도시복구에 관한 정책적 의사결정에 큰 도움이 될 것이다.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.31 no.1
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• pp.38-47
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• 2013

This study was performed in order to preserve and protect the scenic sites and surrounding environment is located in the Urban Residential Area. After classifying the type of area surrounding parcels of Seongbuk-dong is located in Seongragwon, Satisfaction Survey, scenic sites designated areas for residents living near the analyzed. Research methods, Cadastral research, literature survey, field survey, and the survey was conducted. Cultural heritage awareness about the collected questionnaires of frequency analysis, and reliability analysis for cultural heritages around satisfaction, satisfaction analysis by parcel area, parcel area for the verification of specific differences regression analysis for the full-on relationship satisfaction, one-way ANOVA was conducted for each. Overall Cultural awareness analysis results, the residence is located close to the Seoul Seonjamdanji, Seongragwon, Simujang, Sanghoe Lee Tae-Joon's houses, Seoul Hanyang castle showed that cultural heritage were know unfulfilled cultural heritage. The purpose of cultural heritage visit was to break/walks. Preservation was usually level and there is no inconvenience caused as a cultural heritage. Regulatory intensity level was usually level and showed a positive reaction to the impact of cultural heritage in Seongbuk-dong image mostly. cultural heritage have a positive impact on the image of the town. but access to cultural heritage is not easy and doesn't affect the life is expected. Overall satisfaction for cultural heritages in the surrounding space, the larger the size of the lot, and higher satisfaction. Seongbuk-dong most of the residents satisfaction was higher. Small lots of residents showed low satisfaction for safety when walking at night, heritage value rise, private ownership of heritage use, harmony with surrounding environment, Building exterior, non-physical uniqueness like culture art mental. It can be interpreted that small lots of residential environment quality is low compared to the large lots, influx of residents in other regions due to the redevelopment of one of Seongbuk-dong, private ownership of heritage use. And generally lower satisfaction on the harmonization of the facility(street lights, signs, etc.). Therefore cultural heritage signs for facility expansion, cultural educational programs, will be needed to maintain the uniqueness village when scenic sites in the city center around the area of management strategy.

• Spatial Information Research
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• v.23 no.3
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• pp.11-21
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• 2015

While the number of total population in Seoul has been on the constant decline for the last few years, the number of household has increased due to the rising tendency of the smaller households. In 2010, the small households in the metropolitan areas accounted for 44% of the entire households, and Statistics Korea has reported that one person household, which will take up more than 30% of the whole household, will have been the most common type of household by 2020. This reason of rise will be differently shown according to age like the preferred housing type or surrounding environments, this research is suggest to research hypothesis that distinction of age leads to the spatial distribution of one person household. Therefore, this research is to exercise a multiple regression analysis targeting on the facilities, which become the spatial distribution factor of one person household, with the independent variable gained from the concluded area calculated with the area ratio of the spatial unit followed by the service area analysis based on network. The spatial unit is the census output of Seoul, and based on this the interaction between the number of one person household according to age and the factors of its distribution. Also, the spatial regions - downtown, northeast, southeast, northwest, southwest - are designed as dummy variables and the results of each region are found out. As a result, the spatial regions occupied according to age are found to be varied - people in their 20s prefer housings near the college, 30s lease or the monthly rental housings, 40s the monthly rental housings, and over 60s the housing with the floor area of less than $40m^2$. Likewise, one person household has different types of housing environments preferred according to age, and thus a housing policy concerning this will have to be suggested.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.3
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• pp.21-36
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• 2019

Dead fuel moisture content is a key variable in fire danger rating as it affects fire ignition and behavior. This study evaluates simple regression models estimating the moisture content of standardized 10-h fuel stick (10-h FMC) at three sites with different characteristics(urban and outside/inside the forest). Equilibrium moisture content (EMC) was used as an independent variable, and in-situ measured 10-h FMC was used as a dependent variable and validation data. 10-h FMC spatial distribution maps were created for dates with the most frequent fire occurrence during 2013-2018. Also, 10-h FMC values of the dates were analyzed to investigate under which 10-h FMC condition forest fire is likely to occur. As the results, fitted equations could explain considerable part of the variance in 10-h FMC (62~78%). Compared to the validation data, the models performed well with R2 ranged from 0.53 to 0.68, root mean squared error (RMSE) ranged from 2.52% to 3.43%, and bias ranged from -0.41% to 1.10%. When the 10-h FMC model fitted for one site was applied to the other sites, $R^2$ was maintained as the same while RMSE and bias increased up to 5.13% and 3.68%, respectively. The major deficiency of the 10-h FMC model was that it poorly caught the difference in the drying process after rainfall between 10-h FMC and EMC. From the analysis of 10-h FMC during the dates fire occurred, more than 70% of the fires occurred under a 10-h FMC condition of less than 10.5%. Overall, the present study suggested a simple model estimating 10-h FMC with acceptable performance. Applying the 10-h FMC model to the automatic mountain weather observation system was successfully tested to produce a national-scale 10-h FMC spatial distribution map. This data will be fundamental information for forest fire research, and will support the policy maker.

• Journal of Environmental Impact Assessment
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• v.33 no.4
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• pp.143-154
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• 2024

Heat waves caused by climate change are rapidly increasing health damage to vulnerable groups, and to prevent this, the national, regional, and local governments are establishing climate crisis adaptation policy. A representative climate crisis adaptation policy to reduce heat wave damage is to expand the number of cooling centers. Because it is highly effective in a short period of time, most metropolitan local governments, except Jeonbuk, include the project as an adaptation policy. However, the criteria for selecting a cooling centers are different depending on the budget and non-budget, so the utilization rate and effectiveness of the cooling centers are all different. Therefore, in this study, we developed logistic regression models that can predict and evaluate areas with a high probability of expanding cooling centers in order to implement adaptation policy in local governments. In Incheon Metropolitan City, which consists of various heat wave-vulnerable environments due to the coexistence of the old city and the new city, a logistic model was developed to predict areas where heat waves can be cooling centered by dividing it into Ganghwa·Ongjin-gun and other regions, taking into account socioeconomic and environmental differences. As a result of the study, the statistical model for the Ganghwa·Ogjin-gun region showed that the higher the ground surface temperature and the more and more the number of elderly people over 65 years old, the higher the possibility of location of cooling centers, and the prediction accuracy was about 80.93%. The developed logistic regression model can predict and evaluate areas with a high potential as cooling centers by considering regional environmental and social characteristics, and is expected to be used for priority selection and management when designating additional cooling centers in the future.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.213-226
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• 2014

The objective of this paper is to investigate the factors determining the premium of coffee shops by using coffee-shop lease cases at main retail trade areas in Seoul. The focus is on analyzing that the coffee-shops' the sales, building, location and retail trade area characteristics affects the coffee shop's premium. The major findings are as follows. First, there is a high positive correlation between the premium and the sales, and the sales and the size of the shop are shown to be statistically significant variables in estimating the premium per $3.3m^2$. It means that the shop's sale is empirically important an independent variable in determining the premium and as the major costs in the process of starting the business. Second, the deposit money per $3.3m^2$ and public service officers in the retail areas are important in determining the premium. Third, the size of the shop have the effects on the premium per $3.3m^2$ negatively. In short, this study adopts the research hypothesis that retail trade area, location, building of the characteristics, which is located in the coffee shops have the effects on the premium.

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.115-131
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• 2001

The Purpose of this study is to develop a simulation model for large-scale network with interrupted flow as well as uninterrupted flow. The Cell Transmission(CT) theory is used to simulate traffic flow. Flow transition rules have been newly developed to simulate traffic flows at merging and diverging sections, and signalized intersections. In the model, it is assumed that dynamic OD table is exogenously given. Simulation results for toy network shows that the model can explain queue dynamics not only in signalized intersections of urban arterials, but also in merging and diverging sections of freeway. In case study, the model successfully simulated traffic flows of 145,000 vehicles on CBD network of city of Seoul with 74 traffic zones, 133 signalized intersections among 395 nodes and 1110 links.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.5
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• pp.67-79
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• 2020

Plans to mitigate overheating in urban areas requires the identification of the characteristics of the thermal environment of the city. The key information is the distribution of higher and lower temperatures (referred to as "hotspot" or "coldspot", respectively) in the city. This study aims to identify the areas within Jeonju City that are suffering from increasing land surface temperatures (LST) and the factors linked to such this phenomenon. To identify the hot and cold spots, Local Moran's I and Getis-Ord Gi^* were calculated for the LST based on 2017 images taken using the thermal band of the Landsat 8 satellite. Hotspot analysis revealed that hotspot regions, (the areas with a high concentration of Land Surface Temperature) are located in the old town area and in industrial districts. To figure out the factors linked to the hotspots, a correlation analysis, and a regression analysis taking into account environmental covariates including Normalized Difference Vegetation Index (NDVI) and land cover. The values of NDVI showed that it had the strongest effect on the lowering LSTs. The results of this study are expected to provide directions for urban thermal environment designing and policy development to mitigate the urban heat island effect in the future.