• Title/Summary/Keyword: 3 요인 모형

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Investigating Drivers of Housing Vacancy in Old Town Incheon using Multi-level Analysis (다층모형을 활용한 인천광역시 원도심 빈집 발생의 영향요인 분석)

  • Lee, Da-Ye
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.2
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    • pp.237-254
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    • 2020
  • Housing vacancies have become a major issue in urban areas, there have been many efforts to address this issue at the national and local levels. The purpose of this paper is to investigate the factors contributing to housing vacancies in old town Incheon in South Korea. In particular, the research focuses on examining the effects of multiple levels of factors on housing vacancies in a comprehensive way; the three levels of factors were identified with a literature review including housing (Level 1), Neighborhood (Level 2), and Region (Level 3). A multi-level logistic regression model was used to examine the relationship between 13 factors in three spatial levels and housing vacancies. As a result, the factors in all three levels were able to explain housing vacancies including site area and shape, proximity to major roads (Level 1), ratio of houses in designated urban renewal area and slope (Level 2), and ratio of the elderly living alone, land price, changes in land price and ratio of new houses (Level 3). These results show that the combination of the physical inferiority of the housing site and the neighborhood environment and the economic and social vulnerability of the region is likely to increases the number of vacant houses. This study also suggested that a multi-dimensional policy strategy is needed to solve the problem of housing vacancies, and urban policies, such as supplying new housing or urban renewal area designation, should be carefully implemented in a way not to create housing vacancies.

Development of Customer Safety Model of Unsignalized Intersections on the Community Road (생활도로내 비신호교차로 이용자 안전도 모형 개발 - 서울시 생활도로내 비신호교차로를 중심으로 -)

  • Lee, Hyeong Rok;Chang, Il Joon;Lee, Soo Beom;Kim, Jang Wook
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3D
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    • pp.205-213
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    • 2010
  • The unsignalized intersections in a community road in the city of Seoul have 3,753 traffic accidents(9%) of total 41,702 cases in 2008, not high in the occurrence rate of traffic accidents, but seem to have a quite high potential of accidents due to the unreasonable and insufficient operation of systems and facilities in the part of traffic foundations. In particular, the un-signalized intersections in a community road have an insufficient measure for safety as compared to the crossroads with signals, and there are few analysis of traffic accidents and domestic researches on the model of affecting factors. Our country also has no concept of passing priority in operating a crossroad without signals, differently from foreign countries, so the researches and safety measures for improving the safety of a crossroad without signals in a community road are urgent. Therefore, this research has developed a safety model for a crossroad without signals in a community road based on the safety image data collected through individual interviews and questionnaires for the users of unsignalized intersections in a community road, and confirmed that legal systems, road facilities, personal factors, etc. have the biggest effect on the safety of drivers. It was confirmed that the clarity of passing methods, establishment of legal systems, etc. have the biggest effect on safety in order to raise the safety of unsignalized intersections in a community road, which drivers desire.

An Effort Estimation Model for Software Maintenance Project (소프트웨어유지보수 프로젝트의 투입인력 규모예측 모형)

  • 안연식
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.2
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    • pp.61-69
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    • 1999
  • In this study, the productivity factors of software maintenance are categorized into the three areas such as maintainer characteristics, software technical characteristics and maintenance environment characteristics. And the various regression analyses are performed for searching the most significant model by using actual project's data. At conclusion, an linear model including new variables derived from factor analysis to estimate the effort for software maintenance project is suggested.

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Application of Central Composite Design in Simulation Experiment (시뮬레이션 실험에서 중심합성계획의 응용)

  • 권치명
    • Proceedings of the Korea Society for Simulation Conference
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    • 2004.05a
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    • pp.41-47
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    • 2004
  • 중심합성계획(central composite design: ccd)은 반응 표면이 곡면적인 특성을 나타낼때 반응 공간을 추정하기 위해 사용되는 실험계획이다. 반응공간이 2차 회귀모형으로 나타나는 경우에 반응곡면의 변화량을 알기 위해서는 변수의 수준이 3이상이 되어야하는데 ccd는 적은 횟수의 실험으로 곡면을 효과적으로 추정하기 위해 2$^{k}$ 요인실험에 추가적으로 중심점(central point)과 축점(axial point)을 표본점에 포함시키는 계획이다. 본 연구에서는 시뮬레이션 실험에서 반응변수가 2차 회귀모형으로 근사되는 경우에 cod를 이용하여 관심 성과치의 반응표면을 추정하고자 한다. 일반적인 실험에서와는 달리 시뮬레이션 실험에서는 두개의 표본점(인자 수준의 조합)에서 분석자가 공통 난수계열(common random number series)을 부여하여 시뮬레이션 시스템 요소의 변화과정을 유사하게 통제할 수 있다. 일반적으로 공통난수법(common random number method)에 의해 얻어지는 두 표본점에서의 반응변수는 서로 양의 상관관계를 가지며 대조 난수(antithetic random number)에 의한 두 반응변수는 음의 상관성을 가지는 것으로 알려졌다. 본 연구는 ccd의 표본점에 공통난수와 대조난수 법을 이용하여 회귀모형의 파라미터를 효과적으로 추정하는 방법을 조사하고 이를 (s, S) 재고관리 모형에 적용하여 그 효율성을 평가하고자 한다.

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Mild Cognitive Impairment Prediction Model of Elderly in Korea Using Restricted Boltzmann Machine (제한된 볼츠만 기계학습 알고리즘을 이용한 우리나라 지역사회 노인의 경도인지장애 예측모형)

  • Byeon, Haewon
    • Journal of Convergence for Information Technology
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    • v.9 no.8
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    • pp.248-253
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    • 2019
  • Early diagnosis of mild cognitive impairment (MCI) can reduce the incidence of dementia. This study developed the MCI prediction model for the elderly in Korea. The subjects of this study were 3,240 elderly (1,502 men, 1,738 women) aged 65 and over who participated in the Korean Longitudinal Survey of Aging (KLoSA) in 2012. Outcome variables were defined as MCI prevalence. Explanatory variables were age, marital status, education level, income level, smoking, drinking, regular exercise more than once a week, average participation time of social activities, subjective health, hypertension, diabetes Respectively. The prediction model was developed using Restricted Boltzmann Machine (RBM) neural network. As a result, age, sex, final education, subjective health, marital status, income level, smoking, drinking, regular exercise were significant predictors of MCI prediction model of rural elderly people in Korea using RBM neural network. Based on these results, it is required to develop a customized dementia prevention program considering the characteristics of high risk group of MCI.

The Effects of Big 5 personality on Entrepreneurship of the College Student -Focusing on the Moderating Effects of Flow and Self-efficacy- (대학생의 성격 5요인이 기업가정신에 미치는 영향 -몰입 및 자기효능감의 매개효과를 중심으로-)

  • Baek, Yu-Mi
    • Journal of Convergence for Information Technology
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    • v.8 no.3
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    • pp.137-144
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    • 2018
  • The purpose of this study is to examine the effects of undergraduates' Big 5 personality on entrepreneurship. Particularly, this author has verified if immersion and self-efficacy have mediating effects in it. According to the results, first, undergraduates' Big 5 personality are found to exert effects on entrepreneurship. Second, there is difference found in the influence of Big 5 personality on self-efficacy. Third, Big 5 personality and a parameter, self-efficacy, have all significant influence on entrepreneurship. Also, in all the models, the parameter of self-efficacy has partly mediating effects in correlation between Big 5 personality and entrepreneurship. Based on these results, this researcher here suggests implications and provides suggestions for follow-up research.

The Economic and Social Implication of Count Regression Models for Married Women's Completed Fertility in Korea (우리나라 가구의 자녀수 결정요인에 관한 Count 모형 분석 및 경제적 함의)

  • Kim, Hyun-Sook
    • Korea journal of population studies
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    • v.30 no.3
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    • pp.107-135
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    • 2007
  • This paper uses a static Gamma count model, a traditional hurdle model and an endogenous switching Poisson model, respectively for determining married women's completed fertility rates in Korea. This paper analyzes the impact of household income, women's wage and education, and women's job market participation on the number of children of married women above age 40 and on the expected number of children of women aged below 40. The paper shows that a household income significantly increases the number of children for at least women aged above 40, however, this income effect is disappearing for younger generation. The empirical model suggests that women having a job tend to have fewer children for a group 39 years old and below and find that there is an endogeneity problem between child birth and labor force participation, too. The education level of married women gives a positive effect for giving a birth, itself, while it gives a negative impact on the number of children. Based on the empirical results, it concludes that Becker's Quantity-Quality theory works for Korea, too.

A Study on the Determinants of Apartment Price during COVID-19 Pandemic Using Dynamic Panel Model: Focusing on the Large-scale Apartment Complex of More than 3,000 Households in Seoul (동적패널모형을 활용한 코로나19 팬데믹 기간 아파트가격 결정요인 연구: 서울특별시 3000세대 이상 대규모 아파트 단지를 중심으로)

  • Jung-A, Park;Jong-Jin, Kim
    • Land and Housing Review
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    • v.14 no.1
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    • pp.33-46
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    • 2023
  • This study investigated price factors for large apartment complexes in Seoul during the COVID-19 pandemic and compared Gangnam and non-Gangnam areas, which have been recognized as heterogeneous markets. We find that the change in apartment prices in large-scale complexes did not significantly affect the individual characteristics of apartments, unlike previous studies, but was affected by macroeconomic variables such as interest rates and money. On the other hand, considering the units of the interest rate and total monetary volume variables, the effects of two variables on the apartment sales price is significantly high. In addition, the Gangnam area model analysis shows that apartment prices are greatly affected by interest rates and currency volume, and, the non-Gangnam area model analysis shows that apartment prices are greatly affected by interest rates and currency volume, but the degrees are different from the Gangnam area model. Overall, our study shows that interest rates and money supply were the main factors of apartment price changes, but apartment prices in non-Gangnam areas are more sensitive to changes in interest rates and money supply.

자기자본비용의 추정에 관한 연구 - 규모와 장부가/시장가 요인을 고려한 실증분석 -

  • Song, Yeong-Chul;Lee, Jin-Geun
    • The Korean Journal of Financial Management
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    • v.14 no.3
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    • pp.157-181
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    • 1997
  • 본 연구에서는 우리나라 증시에서 베타 이외에 규모와 장부가/시장가 비율이 수익률의 차이를 설명하는데 유용한가를 실증하고 이를 토대로 13개 산업에 대하여 자본비용을 추정하였다. 1980년에서 1995년 사이의 기간에 대하여 실증한 결과, 우리나라 증시에서 규모요인은 시장위험이 설명하지 못하는 수익률 차이 부분을 상당히 설명하고 있었으나 장부가/시장가 비율은 추가적인 설명력을 보이지 못하였다. 산업별 자본비용을 추정한 결과는 만족스럽지 못하였다. 우선 해당기간 동안에 시장프레미엄이 연 1.33%로 지나치게 낮게 측정되었으며 표준오차는 연 5.85%로 매우 크게 나왔다. 회귀계수의 표준오차를 줄이기 위하여 rolling 회귀분석의 방법을 사용하였지만, 3요인 모형에서 시장위험계수(베타)에 대한 표준오차만 줄어들었을 뿐 나머지 계수들의 표준오차는 오히려 증가하였다. 회귀계수가 지니는 불확실성이 위험프레미엄의 불확실성과 결합되어서 산업별 자본비용에 대한 추정은 매우 부정확하였다.

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Analysis of Visitor's Satisfaction Factors and Determinants in Naejangsan National Park, Korea (내장산국립공원의 탐방객 만족요인 및 예측모형 분석)

  • Kim, Dong-Pil;Baek, Jae-Bong
    • Korean Journal of Environment and Ecology
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    • v.25 no.4
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    • pp.614-620
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    • 2011
  • The purpose of this study was to provide basic data for developing the practical park management. For this, satisfaction degree, satisfaction factors and estimated model by satisfaction variables of visitors analyzed through a questionnaire survey in Naejangsan National Park, Korea. In the evaluation of the satisfaction, variables of 'Lack of public facility'. 'Lack of use program', 'Lack of facility to stay' 'Charge of user fee, parking fee' and 'Exorbitant pay' at Naejangsan park office and 'Charge of user fee, parking fee', 'Lack of use program' and 'Lack of facility to stay' at Baekam park office was more unsatisfied than any other variable. Satisfaction factors by Factor Analysis were loaded with 'Facility management' at Naejangsan park office(34.3%) and 'user management' at Baekam park office(45.6%) by the highest contribution degree. In estimated model of satisfaction by Multiple Regression Analysis showed in order of 'damage of trail', 'Lack of commercial facility', and 'Littering problem' at Naejangsan park office and 'damage of cultural and historic resource', 'Lack of commercial facility', 'Touting' at Baekam park office. So, Naejangsan National Park needed intensive management policy and institutional apparatus for facility management and user education.