• Title/Summary/Keyword: 공간요인분석

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A Study on the Classification of the Spatial Characteristics by TOD Planning Elements of Subway Station Areas in Seoul (서울시 지하철 역세권의 TOD 계획요소별 공간적 특성 분류)

  • Choi, Hyoung-Sun;Kim, Tae-Ho;Lee, Joo-Hyung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.2
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    • pp.1-15
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    • 2013
  • It is important to empirically investigate the typological characteristics of subway station areas considering the comprehensive elements of transit-oriented development (TOD) planning so that its implementation can be effective in attaining both increase in transit ridership and decrease in inordinate automobile dependence. This article aims to identify diverse features of subway station areas in Seoul known for good public transit system. After collecting and manipulating the measures on planning elements such as density, diversity and accessibility for TOD planning by distance-based buffer from a subway station, the article tried to interpret analysis results on their typological characteristics. They can be summarized with two conclusions. First, characteristics of landuse and public transit system can be distinctly differentiated in the Seoul subway station areas. It implies that both planning elements should have not been integrated for now. Second, the characteristics of public transit system can be divided by modes. They provide us that public transit system in Seoul needs to be more strongly integrated than current system.

Analysis of Utilization Status and Preference Factors of Reading Room in University Library based on User Log Data: Focusing on the Case of "J" University (이용자 로그데이터 기반 대학도서관 일반열람실 활용도 및 선호요인 분석 - J대학의 사례를 중심으로 -)

  • Son, Eun-Jeong;Park, Tae-Yeon;Oh, Hyo-Jung
    • Journal of the Korean Society for Library and Information Science
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    • v.54 no.2
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    • pp.375-398
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    • 2020
  • The purpose of the university library's reading room is to provide a space for reading books. However, with the recent increase in use as a personal learning space, discussions have been made on spaces in university libraries. The ultimate goal of this study is to analyze the utilization status of reading rooms in university libraries that exist to support students' learning activities, and then to derive preference factors according to spatial characteristics of each room. For this purpose, we selected "J" University as a research target. The log data was collected and analyzed for one year from various reading rooms in "J" University. Based on 218,939 cases generated from 40,753 users, usage patterns were analyzed according to period and space. Through the analysis results, preference factors for reading room were derived. In addition, the considerations for improving space utilization were proposed. The results of the study can be used in the future to improve space arrangement and space utilization in reading rooms of university libraries.

Spatial Dependency and Heterogeneity of Adult Diseases : In the Cases of Obesity, Diabetes and High Blood Pressure in the U.S.A. (성인병의 공간적 의존성과 이질성 : 미국의 비만, 당뇨, 고혈압을 사례로)

  • Yang, Byung-Yun;Hwang, Chul-Sue
    • Journal of the Korean association of regional geographers
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    • v.16 no.5
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    • pp.610-622
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    • 2010
  • The proportion of overweight and obese individuals in the United States has been continuously increasing up to recently. Many studies related to obesity have concentrated on jurisdictional levels of aggregation, making it very difficult to dearly illustrate at risk regions. In other words, little research has been conducted in relation to spatial patterns considering spatial dependency and heterogeneity by spatial autocorrelation models over space. In response, this research analyzes spatial patterns between overweight/obesity and risk factors, such as high blood pressure and diabetes, over space. Specifically, the Moran''s I and Geary''s C will be conducted for global and local measures. What is more, the Ordinary Least Square (OLS) linear regression and Geographically Weighted Regression methods will be applied to identify spatial dependency and spatial heterogeneity. Data provided by the Behavioral Risk Factor Surveillance System (BRFSS) have Body-Mass Index (BMI) rates, containing 4 rates of under, healthy, overweight, and obesity. In addition, high blood pressure and diabetes rates in the United States will be used as independent variables. Lastly, we are confident that this research will be beneficial for a decision maker to make a prevention plan for obesity.

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Visual Improvement Analysis of Small Scale Urban Regeneration Projects Focusing on '72 Hour Project' (72시간 프로젝트로 본 소규모 유휴공간 재생 프로젝트의 경관적 개선 효과)

  • Kim, Hyun-Jung;Kim, Young-Min
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.1
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    • pp.19-30
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    • 2021
  • This research studied the effect of visual improvement of "72 Hour Project" that has regenerated small scale derelict spaces in Seoul through citizen participation. 29 projects built form 2016 to 2019 were analyzed. The research analyzed landscape image preference of before and after status of projects using 12 pairs of landscape adjectives. Basic statistical analysis, correlation analysis, factor analysis, cluster analysis, and ANOVA were performed based on the survey results. Since the satisfaction level of the projects compared with the before-condition was 3.63 higher than 3.00, it could be concluded that there was an meaningful effect of visual improvement after completion of the projects. As the result of the factor analysis, landscape adjective pairs were categorized into two factors: harmony and aesthetics. Through the cluster analysis, four clusters were formed and characteristics of each cluster were identified. As the result of rhe cluster analysis, the cluster with the high harmony level and the aesthetics level showed the highest overall satisfaction level. Comparing each cluster, it could be concluded that the factor of harmony was more important than the factor of aesthetics in evaluating the satisfaction level of projects. Analyzing qualitative aspects of project groups, spatially well-balanced design with generous vegetation areas was more effective in landscape improvement than artistic design with visually strong installations. Further researches based on behavior studies of actual users are required to compensate the limits of this research. This research can contribute to establish the improved direction of policies to regenerate various types of small scale derelict spaces.

Risk management applicable to shield TBM tunnel: I. Risk factor analysis (쉴드 TBM 터널에 적용 가능한 리스크 관리: I. 리스크 요인 분석)

  • Hyun, Ki-Chang;Min, Sang-Yoon;Moon, Joon-Bai;Jeong, Gyeong-Hwan;Lee, In-Mo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.14 no.6
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    • pp.667-681
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    • 2012
  • In general, risk management consists of a series of processes or steps including risk identification, risk analysis, risk evaluation, risk mitigation measures, and risk re-evaluation. In this paper, potential risk factors that occur in shield TBM tunnels were investigated based on many previous case studies and questionaries to tunnel experts. The risk factors were classified as geological, design or construction management features. Fault Tree was set up by dividing all feasible risks into four groups that associated with: cutter; machine confinement; mucking (driving) and segments. From the Fault Tree Analysis (FTA), 12 risk items were identified and the probability of failure of each chosen risk item was obtained.

The Analysis of Crime-Vulnerability Assessment using Spatial Data for Planning CPTED (셉테드(CPTED) 계획 수립을 위한 공간정보를 활용한 범죄취약성 평가)

  • Kim, Yeon-Seong;OH, Jeong-Won;Seo, Won-Chan;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.917-930
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    • 2021
  • Recently, as part of the crime prevention measures that focus on spatial characteristics on the determinants of crime-causing, interest in crime prevention (CPTED) through environmental design has been increasing. This study analyzed crime vulnerabilities in Ulju-gun for the purpose of establishing a master plan for crime prevention urban design (CPTED). The 12 indicators, including demographic, socioeconomic, and physical factors, were sampled from prior studies. As a next step, statistical analysis resulted in criminal vulnerability indexes. According to the analysis, districts with a high demographic crime vulnerability indexes were concentrated on apartment complexes, while districts with high socio-economic crime vulnerability indexes have low land prices and high proportion of female population. Also, the districts with high physical crime vulnerability indexes were found to be heavily distributed commercial ones with a large number of entertainment places. However, there was a limit to generalizing the indicators of previous studies to local governments with different regional characteristics. Therefore, further studies should be carried out by establishing additional indicators considering regional characteristics in the future.

An Analysis of Impact of Urbanization on Income Inequality in Korea: Considering Serial Correlations, Spatial Dependence and Common Factor Effect (우리나라 소득불평등에 도시화가 미치는 영향 분석: 지니계수의 시차 자기상관, 공간의존성, 공통요인 효과를 고려하여)

  • So-youn Kim;Suyeol Ryu
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.3
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    • pp.310-323
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    • 2023
  • Urbanization and income distribution issues are global interest, and the results of studies on the impact of urbanization on income inequality are different for each country and period. This study analyzes the impact of urbanization on income inequality using regional data from 2000-2021. In particular, serial correlation, spatial dependence, and common factor effects of the Gini coefficient are confirmed and analyzed through a dynamic spatial panel regression model. As a result, urbanization has a positive effect on reducing income inequality. Therefore, it is necessary to continuously promote regional urbanization to improve the income distribution problem. Areas with already high urbanization rates should reduce income inequality by narrowing the wage gap by expanding training opportunities for low-skilled workers, and need to come up with measures to prevent counter-urbanization.

사이버스페이스의 공간적 특성과 공간적 차별화 요인 분석

  • 이희연
    • Proceedings of the KGS Conference
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    • 2002.11a
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    • pp.55-59
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    • 2002
  • 최근에 들어와 정보통신기술의 발전속도는 가속화되고 있으며, 그에 따른 파급효과도 엄청나게 나타나고 있다. 오늘날의 정보통신기술은 과거 전화나 팩스, 또는 TV를 이용하여 정보를 전달한 것과는 달리 인터넷을 통해 전세계를 하나의 거대한 정보망으로 연결시키면서 시ㆍ공간을 압축화시키고 있다. 정보통신기술의 발전은 거리의 장벽을 허물고 물리적 거리의 중요성을 갈수록 약화시키면서 지구촌 시대를 열어가고 있다.(중략)

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Space Time Data Analysis for Greenhouse Whitefly (온실가루이의 공간시계열 분석)

  • 박진모;신기일
    • The Korean Journal of Applied Statistics
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    • v.17 no.3
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    • pp.403-418
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    • 2004
  • Recently space-time model in spatial data analysis is widly used. In this paper we applied this model to analysis of greenhouse whitefly. For handling time component, we used ARMA model and autoregressive error model and for outliers, we adapted Mugglestone's method. We compared space-time models and geostatistic model with MSE and MAPE.

The Impact of Urban Characteristics on Carbon Emissions of Buildings in Seoul: Application of Spatial Regression Analysis (도시특성이 건축물의 탄소배출에 미치는 영향에 관한 연구: 서울시 424개 행정동에 대한 공간회귀분석의 적용)

  • Hang Hun Jo;Heung Soon Kim
    • Land and Housing Review
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    • v.14 no.3
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    • pp.77-92
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    • 2023
  • The aim of the study is to analyze urban characteristics that affect carbon emissions of buildings. The analysis was conducted at the level of 424 administrative districts in Seoul. The main variables used in the analysis were energy consumption and carbon emissions of buildings published in the Seoul Metropolitan Government's energy information platform 2021. It was found that carbon emissions per unit building were high in Jongno, Gangnam, Guro, and Mok-dong. A regression analysis using the spatial lag model (SLM) identifies that the variables that affect the carbon emissions of buildings were; commercial, educational, business and industrial facility variables as built environment factor; number of residents; traffic volume, number of bus routes and number of subway stations as transportation facilities factors; and environmental factors such as green area and river area.