• Title/Summary/Keyword: 인구 군집 변화 분석

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Study on Establishment Criteria of Flood Risk in Urban Area of Han River Basin Considering Regional Characteristics (지역특성을 고려한 한강권역 도시지역의 홍수위험 판단기준 산정에 대한 연구)

  • Shin, Heejae;Choi, Youngje;Yi, Jaeeung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.136-136
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    • 2018
  • 최근 기후변화로 인해 설계 빈도 이상의 강우가 빈번하게 발생하고 있으며 이러한 집중호우에 의한 피해는 지역별로 토지이용, 사회 환경적인 조건에 따라 차이가 있다. 특히 인구와 경제 제반 시설이 밀집되어 있는 도시지역의 경우 홍수가 발생하게 되면 피해가 과거에 비해 큰 규모로 나타나고 있다. 현재 각 지자체는 홍수 대응을 위해 기상청에서 제공하고 있는 6시간, 12시간 강우량을 기준으로한 호우주의보 및 경보를 사용하고 있다. 하지만 도시지역의 경우 지속시간이 1~2시간인 짧은 호우에서 피해가 발생하여 기상청에서 제공하고 있는 홍수특보를 활용하는데 있어 한계가 있다. 또한 이러한 기준은 각 지역별 사회 경제적 특성을 반영하지 않아 지역별 실질적인 홍수 대응에 효과적이지 않다. 따라서 각 지역별로 특성을 파악하여 홍수에 대한 피해를 저감하기 위한 대책 수립이 필요한 실정이다. 본 연구의 공간적 범위로 한강권역에서 서울시와 인천시의 경우 '구 단위', 경기도와 강원도, 충청북도는 '시 군 단위'로 총 88개 행정구역으로 하고 도시별 특성에 따라 군집화를 위해 환경적, 사회적 및 경제적 특성 중 홍수에 대한 취약성을 반영할 수 있는 인자를 선정하였다. 선정된 인자들을 주성분분석을 통해 공통된 특성이나 유사한 성질에 따라 공통인자를 추출하고 이를 이용하여 각 도시별 군집분석을 시행하였다. 그 후 각 도시 군집별 특성에 따라 홍수에 의한 피해를 가장 잘 나타낼 수 있는 인자를 위험영향(Risk Impact)으로 산정하였다. 이때 위험영향은 강우규모에 따른 잠재 피해 정도를 나타내며 홍수위험도표를 작성하기 위해서는 이러한 위험영향을 정량적으로 설명할 수 있어야 한다. 본 연구에서는 각 도시 군집별 특성에 따른 위험영향의 임계값을 추정하고 그에 따른 홍수위험도표를 작성하였다.

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A Study on the Distributive Equity of Neighborhood Urban Park in Seoul Viewed from Green Welfare (녹색복지 관점에서 서울시 생활권 도시공원의 분배적 형평성 분석)

  • Kim, Yong-Gook
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.3
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    • pp.76-89
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    • 2014
  • The functions of urban park including health related benefit and climate adaptation and mitigation are expanding. However, in-depth research and discourse on the equitable distribution of expanded park function has been limited so far. Following research suggests Green Welfare concept to reflect distributive equity and multifunctionality in the process of urban park policy development and execution. This study developed park welfare indices to analyze disparities of neighborhood urban park(NUP) distribution viewed from green welfare by literature review. The findings analyzed through the Correlation Analysis and Cluster Analysis by SPSS 18.0. The results of the study are as follows. First, green welfare is defined as "to receive equitable benefits and participate in the delivery process of green services which are promoting health and securing safety from climate change risks for every citizen by life cycle regardless of socioeconomic status". Second, NUP per person in Seoul indicate meaningful differences by socioeconomic and environmental status of Seoul administrative districts. Park welfare indices correlated to NUP per person were shown population density(negative), percentage of individuals $aged{\geq}65$(positive), percentage of self-reliance of local finance(positive), flood and air pollution vulnerability by climate change(negative). Third, the cluster analysis identifies three significant clusters that indicate differences of park welfare level. Thus, it was found that NUP in Seoul from a green welfare perspective was provided disproportionately. Future urban park policy in Seoul was required equitable distribution of multifunctionality of park beyond quantitative expansion, and priority consideration should be given to park service consumer.

군집분석을 이용한 새로운 IS 실무자 분류 체계에 관한 연구

  • Gyeong, Won-Hyeon;Go, Seok-Ha
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2006.06a
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    • pp.573-601
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    • 2006
  • IS 실무자들은 과거처럼 단순한 시스템 분석이나 프로그래밍 기법만을 갖추는 것만으로는 조직이 원하는 정보기술을 효과적으로 운용하는 것이 어렵게 되고 있다. 예전과는 달리 최근의 기업에서는 통신 시스템을 포함하는 다양한 정보기술에 관련된 지식과 기술을 전문적으로 다룰 수 있는 전문가를 원하는 추세이다. 이러한 맥락에서 IS 실무자들이 자신의 업무를 성공적으로 수행하기 위해 필요한 전문 지식과 기술은 무엇인가라는 질문에 대한 대답을 알 수 있어야만 한다. 본 연구는 IS 실무자들이 그들이 직면하고 있는 ‘IS 지식과 기술의 빠른 변화’를 얼마만큼 인식하고 있으며, 그들이 필요로 하는 지식과 기술과 업무를 수행함에 있어 필수적인 지식과 기술을 얼마만 큼 보유하고 있는지를 조사하였다. 본 연구에서는 조사된 자료를 통하여, 기존의 국내외의 문화에서 밝혀진 인구 통계학적 분류기준 (예를 들자면, 경력 수준, 지역, 직종) 이외에 이들을 분류할 수 있는 기준에는 어떠한 것이 있는가에 대한 연구를 수행하였다. 분석을 위하여 실무자들이 현업에서 많은 시간과 노력을 들이고 있는 IS 활동영역에 대한 투자시간을 기준으로 실무자들을 분류하였다. 분석에서는 조사자의 군집분석과 다차원 분석을 통하여 분류된 실무자 그룹에 대한 여러 가지 기술적인 특성과, 인구 통계학적 특성을 파악하고, 그룹들에 대하여 새로운 분류에 적합한 표기를 제시하고자 하였다. 본 논문은 정보시스템 영역에서 수행된 IS 실무자들에 다양한 연구의 한 부분으로서, 기업 환경, 조직 환경, 나아가 실무자들의 직무환경의 개선에 필요한 지식과 기술을 제공할 것이다.아날로그 방식에서 IT 기반에 의한 디지털 환경으로 변화되고 있다. 또한 e러닝, T러닝, m러닝, u러닝 등의 용어가 생성되고 있다.키지에어컨에서 사용되고 있는 밀폐형 압축기에 대해서 그림 2에서 나타내고 있는 냉방능력 10tons(120,000Btu/h) 이하를 중심으로 상기의 최근 기술 동향을 간략하게 소개하고자 한다.질표준의 지표성분으로 간주되는 진세노사이드의 절대함량과 그 성분조성 차이에 따른 임상효과의 차별성이 있는지에 대한 검토와, 특히 최근 실험적으로 밝혀지고 있는 사포닌 성분의 장내 세균에 의한 생물전환체의 인체 실험을 통한 효과 검정이 필요하다. 나아가서는 적정 복용량의 설정과 이와 관련되는 생체내 동태 및 생체이용율(bioavilability)에 관한 정보가 거의 없으므로 이것도 금후 검토해야 할 과제로 사료된다. 인삼은 전통약물로서 오랜 역사성과 그동안의 연구결과에 의한 과학성을 가지고 있으므로 건강유지와 병의 예방 및 회복촉진을 위한 보조요법제 또는 기능성 식품으로써의 유용성이 있는 것으로 판단된다. 앞으로 인삼의 활용성 증대를 위해서는 보다 과학적인 임상평가에 의한 안전성 및 유효성 입증과 제품의 엄격한 품질관리의 필요성이 더욱 강조되어야 할 것이다.xyl radical 생성 억제 효과를 보여 주었다. 본 실험을 통하여 BHT 를 제외하고 전반적으로 세포 수준에서의 oxidative stress 에 대한 억제 효과를 확인해 볼 수 있었으며 특히 수용성 항산화제들에서 두드러진 효과를 보여 주었다. 제공하여 내수기반 확충에도 노력해야 할 것 이다.있었다., 인삼이 성장될 때 부분적인 영양상태의

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Optimize TOD Time-Division with Dynamic Time Warping Distance-based Non-Hierarchical Cluster Analysis (동적 타임 워핑 거리 기반 비 계층적 군집분석을 활용한 TOD 시간분할 최적화)

  • Hwang, Jae-Yeon;Park, Minju;Kim, Yongho;Kang, Woojin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.5
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    • pp.113-129
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    • 2021
  • Recently, traffic congestion in the city is continuously increasing due to the expansion of the living area centered in the metropolitan area and the concentration of population in large cities. New road construction has become impossible due to the increase in land prices in downtown areas and limited sites, and the importance of efficient data-based road operation is increasingly emerging. For efficient road operation, it is essential to classify appropriate scenarios according to changes in traffic conditions and to operate optimal signals for each scenario. In this study, the Dynamic Time Warping model for cluster analysis of time series data was applied to traffic volume and speed data collected at continuous intersections for optimal scenario classification. We propose a methodology for composing an optimal signal operation scenario by analyzing the characteristics of the scenarios for each data used for classification.

Assessment of Spatiotemporal Water Quality Variation Using Multivariate Statistical Techniques: A Case Study of the Imjin River Basin, Korea (다변량 통계기법을 이용한 시·공간적 수질변화의 평가: 임진강유역에 관한 연구)

  • Cho, Yong-Chul;Lee, Su-Woong;Ryu, In-Gu;Yu, Soon-Ju
    • Journal of Korean Society of Environmental Engineers
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    • v.39 no.11
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    • pp.641-649
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    • 2017
  • In the study, the water quality of the Imjin River basin with pollutants of changing characteristics it was determined through statistical analysis, correlation analysis, principle component and factor analysis, and cluster analysis. Among all analyzed data points, the average water quality concentration at the Sincheon 3 site shows high levels of BOD 13.4 mg/L, COD 19.9 mg/L, T-N 11.145 mg/L, T-P 0.336 mg/L, TOC 14.2 mg/L, indicating that Sincheon basin requires intersive water quality management out of the entire drainage basin. The correlational analysis of comprehensive water quality data shows statistically significant correlation between COD, TOC, BOD, T-N water quality factors, as well as finding of high correlation between organic and nutrients. The principal component analysis show that 2 main components being extracted at 81.221% from the measuring station's entire data, while seasonal data show 3 main components being extracted at 96.241%. Factor analysis of the entire data set and the seasonal data identify BOD, COD, T-N, T-P, TOC as the common factors influencing water quality. The spatial and temporal cluster analysis showed 4 groups and 3 groups, respectively, according to seasonal characteristics and land use. By analysing the water quality factors for the Imjin River basins over an 8 year period, with consideration to the spatial and temporal characteristics, this study will become the fundamental analytic data that will help understand the future changes of water quality in the Imjin River basin.

Spatio-temporal Evaluation of Air Temperature-Water Quality Elasticity in Tributary Streams According To Climate Change (기후변화에 따른 지류 하천의 시공간적 기온-수질 탄성도 영향 평가)

  • Park, Jaebeom;Kal, Byungseok;Kim, Seongmin
    • Journal of Wetlands Research
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    • v.23 no.4
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    • pp.296-306
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    • 2021
  • Elasticity is a statistical technique that interprets the changing pattern of another variable according to a change in one variable as a quantitative numerical value and provides more information than correlation analysis and is widely used in climate change research. In this study the elasticity was calculated and sensitivity analysis was performed using air temperature and water quality data of the major tributaries of the Nakdong River. In addition the confidence interval for the elasticity was calculated using the T-Test and the validity of the elasticity was examined. The strength of elasticity shows high strength in the order of summer>fall>spring>winter and the direction shows regional characteristics with both negative and positive elasticity. After performing hierarchical cluster analysis on monthly observation data they were classified into 5 clusters and the characteristics of each cluster were visually analyzed using a parallel coordinate graph. The direction and intensity of the air temperature elasticity show regional characteristics due to the relatively high population density and complex influencing factors such as sewage treatment plants, small-scale livestock houses and agricultural activities. In the case of TP it shows great regional variability according to the circulation of nutrients in the ecosystem caused by algae growth and death according to temperature changes. Since the air temperature elasticity of the major tributaries of the Nakdong River is over weak and is valid at the significance level of 5%, it was analyzed that there is a change in water quality according to the air temperature change.

Changes in Subway Traffic in Seoul during Social Distancing due to the Spread of COVID-19 and G eographic Characteristics of the Area Behind the Station (COVID-19 확산에 따른 사회적 거리두기 동안 나타나는 서울시 지하철 통행 변화와 역 배후지역의 지리적 특성)

  • Lee, Keumsook;Park, Sohyun;Ham, Yuhee
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.2
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    • pp.127-142
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    • 2021
  • This study identifies the characteristics of changes in the subway passengers and the number of COVID-19 confirmed cases in Seoul. We classify subway stations by applying the principal components extracted based on the correlation between them, and analyzed the passenger traffics and geographical characteristics of each cluster. We extract the "top decile" and "lowest decile" stations among the subway stations that the number of subway passengers have decreased in 2020 compared to 2019, and then examine the population and land use characteristics of station areas both station groups. As the result of cluster analysis according to principal component scores, we obtain 6 cluster types. Subway stations belong to the top deciles which have shown the larger decrease in the passenger traffics tend to more sensitive to COVID-19 shocks. Stations belonging to the top tenth percentile of reduced traffic have a high distribution of daytime traffic, and the hinterland of the station has relatively high land use related to commercial and cultural, religious, and social activities. Therefore, it is expected that the regional resilience around subway stations will also show differences in degree by type.

The Analysis of Family Values and Depression of Korean Women Using LSTM :Based on the 2007-2018 Of Korean Longitudinal Survey of Women and Families (LSTM을 활용한 한국 여성의 가족가치관과 우울의 군집분석: 여성가족패널 2007-2018년 자료를 중심으로)

  • Oh, Young-Eun;Choo, Joo-Hee;Oh, Seung-Won
    • The Journal of the Korea Contents Association
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    • v.22 no.4
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    • pp.433-444
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    • 2022
  • This study aimed to identify the change trajectories and clusters of Korean women's family values and depression levels, and the factors affecting depression, to use balanced panel data from the 1st to 7th rounds of the Korea Longitudinal Survey of Women and Families(KLSWF). The subjects of this study were 5,048 female panelists who participated in the KLSWF, and LSTM analysis was conducted using Python to divide the clusters of Korean women suffering from depression. In addition, descriptive statistical analysis, ANOVA, multinomial logistic regression analysis, and hierarchical regression analysis were analyzed using SPSS 23.0. Results, It was confirmed that women's depression increased with age, and family values had a significant impact on depression. It was found that the more open the marriage values of women in the married group, the higher the level of depression. The family values trajectory and depression level of the analyzed subjects were not a single pattern, but included four clusters. To prevent depression among Korean women and provide more concrete interventions, a humanities and sociological system that can identify depression groups should be prepared.

Effect Analysis of Precipitation Events According to an Urbanization (도시화가 강수사상에 미치는 영향 분석)

  • Oh, Tae Suk;Moon, Young-Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.4B
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    • pp.413-427
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    • 2010
  • Urbanization means the sudden increment of a population and the industrialization. The hydrologic water cycle causes many changes due to urbanization. Therefore, the affects that urbanization influences on the precipitation events were analyzed. But the precipitation events are very much influenced many meteorological and climatologically indices besides the effect of an urbanization. So, an analysis was performed by using precipitation data observed in many spots of the Korean peninsula. The analysis data are annual precipitation, the duration 1 daily maximum amount of precipitation, the rainy days, and 10 mm over the rainy days, and 80 mm. seasonal precipitation and seasonal rainy days. The analytical method classified 4 clusters in which the precipitation characteristic is similar through the cluster analysis. It compared and analyzed precipitation events of the urban and rural stations. Moreover, the representative rainfall stations were selected and the urban stations and rural stations were compared. In the analyzed result, the increment of the rainy days was conspicuous over 80mm in which it can cause the heavy rainfall. By using time precipitation data, the design precipitation was calculated. Rainfall events over probability precipitation on duration and return period were analyzed. The times in which it exceeds the probability precipitation in which the urban area is used for the hydrologic structure design in comparison with the rural area more was very much exposed to increase.

Spatial Structure and Historical Change of Cemeteries in Seattle, USA (시애틀 공동묘지의 공간적 구조와 역사적 변화 양상)

  • Kim, Chung Ho
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.3
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    • pp.36-45
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    • 2018
  • Cemeteries in the United States are frequently observed near residential areas in cities even though they are spaces for the dead. However, it has not been fully studied when and how cemeteries were formed in the process of urbanization. Thus, this research aimed to investigate the spatial structure and historical change of cemeteries in Seattle due to urbanization, focusing on the contextual relationship between cemeteries and the surroundings according to two time periods: the early formation period of cemeteries in Seattle and the current period. For this, a mixed method was taken in this paper that combined historical analysis based on old references and historic maps with cluster analysis using GIS. In conclusion, the research found that early cemeteries of Seattle in downtown areas were introduced as by-products of urban formation, but the cemeteries in the suburbs were established ahead of urban growth and neighborhood development. In addition, Seattle's cemeteries not only showed a similar locational pattern to Seattle's shopping centers, but also were positively associated with population distribution given the Hot Spot Analysis. In other words, Seattle's cemeteries were originally located in rural areas, but later came to be located in urban areas, sustaining the landscape of American rural cemeteries.