• East Asian mathematical journal
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• v.27 no.4
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• pp.391-415
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• 2011

Mathematics is to reflect on your or other people's psychological mathematic activities. Thus, learners need to reflect on their mathematical activities in order to cultivate mathematical thinking attitude and perceive learning contents. For this study, first of all, two classes of the fifth grade (29 students in experimental group and 31 students in control group) in 'Y' elementary school in Dae-gu city were selected as research targets and post-test of learning achievement and mathematical attitude examination were carried out in order to verify the differences of learning achievement and mathematical attitudes between experimental and control groups. The findings of this study mean that students' learning achievement and mathematical attitudes can be improved by applying mathematical reflective activities to the actual class.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.33-50
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• 2016

Hannam-dong, which lies at the eastern part of Yongsan-gu in metropolitan Seoul has been known as one of the affluent area, but actually it is divided into different sub-areas including poor ones. Although it used to be a quiet residential neighborhood, be they rich or poor, some streets (gil) have become the places of creative economy since the late 2000s. The place-making of Hannam-dong is accompanied by taking-place of different creative classes in different sub-areas, and there have emerged contestation, negotiation and clash among them at the contact zone. While the big companies such as Samsung explores their own version of cultural/creative entrepreneurialism in one sub-area, the actors that can be dubbed as 'creative small producer' and/or 'creative underlass' produce Hangangjin-gil and Usadan-gil as artistic-cum-economic communities by deploying cultural capital. All in all, Hannam-dong is an interesting case that different types of gentrifications are produced by different actors in different sub-areas, which results in producing another kind of 'community of strangers' where different (creative) classes share a physical location, but do not have lasting social interactions and communicative networks.

• Korean Journal of Microbiology
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• v.41 no.1
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• pp.53-59
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• 2005

Influenza is an important public health problem which occurs almost every winter in temperate climates and is often associated with increased rates of hospitalization and death. In 1999, our influenza surveillance was initiated with 4 voluntary sentinel physicians and the Public Health Center. During the 2003-2004 influenza season, 124 influenza viruses were isolated from 401 clinical specimens, which were collected from patients with Influenza-like illness(ILI) in Seoul. The case definition of ILI is a case with fever more than $38^{\circ}C$ and systemic symptoms; cough, or sore throat. ILI was the highest at the 20-49 age $group(23\%)$ and the rate of virus isolation was the highest at the 7-19 age $group(50\%)$. Among 124 influenza viruses, isolates 83 were identified as A/H3N2 type and others were subtyped as influenza B viruses in 2003-2004 season. Influenza viruses were collected $39.1\%$ at Nowon-Gu, $13.5\%$ Gangnam-Gu and Seocho-Gu etc. and the isolate rate of virus had the area difference; Yongsan-Gu $66.7\%$, Gangnam-gu $50.0\%$, Nowon-Gu $39.9\%$, Kangbuk-Gu $36.8\%$, Seocho-Gu $27.8\%$, Dongjak-Gu $21.2\%$. Out of 401 individuals, 160 was vaccinated $(40\%)$ and the vaccination rate was the highest at the 20-49 age $group(32\%)$. These findings may contribute to the recommondation of the influenza vaccine formulation and the development of influenza control measure.

• Journal of Korean Society of Disaster and Security
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• v.16 no.2
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• pp.1-13
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• 2023

As interest in urban safety has increased since COVID-19, various institutions have developed and used indicators that evaluate the safety city model. Yongsan-gu was ranked No. 1 in 2021 by Social Safety Index evaluation and was selected as the safest city in Korea. However, the Itaewon disaster in Yongsan-gu in 2022 caused many casualties. The study of indicators for evaluating cities' safety was necessary. This study aims to examine domestic and foreign safe city models and review the differences between each model and the indicators used to evaluate safe cities. As a result of collecting 11 safe city models and analyzing each evaluation index, safe city models can be classified into program-based safe city models, such as the World Health Organization's International safe community and the UN Office for Disaster Risk Reduction's International Safe city. Considering the diversification of threats to safety, it is reasonable to comprehensively consider digital security, health safety, infrastructure safety, personal safety, environmental safety, traffic safety, fire safety, crime safety, life safety, suicide, and infectious diseases when evaluating safe cities as evaluation parameters.

• Korean Institute of Interior Design Journal
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• v.18 no.3
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• pp.114-121
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• 2009

The number of the disabled is increasing every year. Growing interest in social welfare, but still the disabled person in places is restricted on the activities are due to obstacles. This study proposes an improvement direction through an research and analysis of installation status of convenient facilities in social welfare halls was planned after that the law of increase of convenience for the disabled person is enforced in 1998. This study analyzed nine social welfare halls of seoul including Yongsan-gu(GW), Guro-gu(GD, HW), Yeongdeungpo-gu(SG), Seodaemun-gu(SD), Dobong-gu(DB), Nowon-gu(NS), Seongbuk-gu(WG) and Dongdaemun-gu(JG). The evaluation criteria for the installation of convenient facilities for the disabled person in each social welfare hall based on the law of increase of convenience for the disabled person, and referred to other data. Also, review the criteria for the installation of convenient facilities, and grasp the present situation through the survey of convenient facilities in social welfare halls, and provides the installation standards of convenient facilities. The result are as followings. There were many problems to be improved in approach of the intermediate space, parking lot, entrance of the inside space and corridor that must be installed for the convenience of the disabled. In the intermediate space, the slope of the ramp, curb, induction handle etc. for a safety must be installed. Parking spaces for the disabled must be located closest to the main entrance, an induction marker or the handle, and the attachment of a directional sign etc. must be improved. In the inside space, it is convenient for the disabled person use to install an automatic door and swing door simultaneously at the main entrance. And, the height of the door handle, an induction block, a braille display panels of the appropriate height in the entrance, a braille display in start and end of the stairs handle, the handle of the side wall, the stairs to prevent slippage etc. must be improved in the corridors. The case of the sanitation which is a recommendation item is equipped formally with disabled toilets are difficult to use. Information and other convenience facilities for the disabled person in all the social welfare halls were not considered.

• Journal of the Korean Regional Science Association
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• v.35 no.4
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• pp.61-73
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• 2019

Urban development and densification have led to the Urban Heat Island Effect, in which the temperature of urban space is higher than the surrounding areas, and the intensity is increasing with climate change. In addition, when the city's air temperature rises in summer, low-income, elderly population, and socially vulnerable people who have health problems lack the ability to cope with the elevated heat environment. Therefore, this study aimed to identify the urban heat island area of Seoul through Hotspot analysis, which is a spatial statistics technique, and explored physical environments, demographic and socioeconomic characteristics of urban heat island effect areas using logistic regression models. This study performed urban heat island hotspot analysis using the average air temperatures of the 423 administrative dongs in Seoul. Analysis results identified that the urban heat islands were concentrated in Jung-gu, Jongno-gu, Yongsan-gu, and Yeongdeungpo-gu. Logistic regression analysis results indicated that urban heat island areas of Seoul were affected by residential floor area ratio, commercial facility floor area ratio, overall floor area ratio, impervious surface ratio, and normalized difference vegetation index(NDVI). In addition, as a result of analyzing the vulnerable area of thermal environment considering the demographic and socioeconomic characteristics of the heat island area, urban heat island areas of Seoul were significantly associated with the proportion of low-income elderly living alone. The result of this study provided useful insights for urban thermal environmental design and policy development that could improve the thermal environment for the socially disadvantaged urban population.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.5
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• pp.2041-2048
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• 2013

It is necessary to evaluate methods for reasonable diagnosis for public transportation. However, previous studies have the problems in evaluation ground and propriety. Therefore, this research develop the method and equation for evaluating bus route considering interregional equity and route doubleness. This study developed in bus route evaluation method using Seoul bus Zone, and included the result of evaluation test using 199 route Seoul trunk bus (blue bus). Zone (0) (Jongno-gu, Jung-gu and Yongsan-gu) has the highest score in Evaluation result. Also this zone has good bus route, so it is easy to move to other Zone. It is possible to change and add the bus route to use the equation in this study, considering interregional equity.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.119-136
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• 2012

The goal of this study is to apply the IPCC(Intergovernmental Panel on Climate Change) concept of vulnerability to climate change and verify the use of a combination of vulnerability index and fuzzy logic to flood vulnerability analysis and mapping in Seoul using GIS. In order to achieve this goal, this study identified indicators influencing floods based on literature review. We include indicators of exposure to climate(daily max rainfall, days of 80mm over), sensitivity(slope, geological, average DEM, impermeability layer, topography and drainage), and adaptive capacity(retarding basin and green-infra). Also, this research used fuzzy model for aggregating indicators, and utilized frequency ratio to decide fuzzy membership values. Results show that the number of days of precipitation above 80mm, the distance from river and impervious surface have comparatively strong influence on flood damage. Furthermore, when precipitation is over 269mm, areas with scare flood mitigation capacities, industrial land use, elevation of 16~20m, within 50m distance from rivers are quite vulnerable to floods. Yeongdeungpo-gu, Yongsan-gu, Mapo-gu include comparatively large vulnerable areas. This study improved previous flood vulnerability assessment methodology by adopting fuzzy model. Also, vulnerability map provides meaningful information for decision makers regarding priority areas for implementing flood mitigation policies.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.4
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• pp.321-334
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• 2018

There are many factors that cause uneven regional developments in the country and one of main factors is outflow of regional income or products. The purpose of this study is to analyze regional production runoff by comparing GRDP and GRNI in basic local governments level. In this study, GRNI of basic local governments are estimated by local income tax data, The results of the study are as follows. Firstly, GRNI is more concentrated than GRDP. The analysis of Moran I showed that the spatial autocor-relation of GRNI is more distinct than that of GRDP. Local Moran I analysis shows that spatial hot spots and cold spots are more apparent in GRNI than GRDP. Secondly, the outflows of GRDP into a small number of regions are apparent. In about 80% of basic local governments, the net outflows of GRDP occur. The large net outflow regions are cities where manufacturing industry has developed and in the 20 lowest net outflow rate regions, 70-80% of GRDP outflows. The large net inflow regions are metropolitan area in Seoul and large local cities. Seocho-gu, Yongsan-gu, and Gangnam-gu in Seoul have a large net inflows and net inflow rates are over 90% of GRDP.

• Korean Journal of Remote Sensing
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• v.36 no.6_3
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• pp.1711-1720
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• 2020

Particulate matter (PM) that has been artificially generated during the recent of rapid industrialization and urbanization moves and disperses according to weather conditions, and adversely affects the human skin and respiratory systems. The purpose of this study is to predict the PM10 concentration in Seoul using meteorological factors as input dataset for multiple linear regression (MLR), support vector machine (SVM), and random forest (RF) models, and compared and evaluated the performance of the models. First, the PM10 concentration data obtained at 39 air quality monitoring sites (AQMS) in Seoul were divided into training and validation dataset (8:2 ratio). The nine meteorological factors (mean, maximum, and minimum temperature, precipitation, average and maximum wind speed, wind direction, yellow dust, and relative humidity), obtained by the automatic weather system (AWS), were composed to input dataset of models. The coefficients of determination (R2) between the observed PM10 concentration and that predicted by the MLR, SVM, and RF models was 0.260, 0.772, and 0.793, respectively, and the RF model best predicted the PM10 concentration. Among the AQMS used for model validation, Gwanak-gu and Gangnam-daero AQMS are relatively close to AWS, and the SVM and RF models were highly accurate according to the model validations. The Jongno-gu AQMS is relatively far from the AWS, but since PM10 concentration for the two adjacent AQMS were used for model training, both models presented high accuracy. By contrast, Yongsan-gu AQMS was relatively far from AQMS and AWS, both models performed poorly.