• Journal of the Korean Data and Information Science Society
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• 제19권3호
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• pp.735-749
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• 2008

This article suggests application of logit model for analysis of multicategory responses. Referring to the reference category, characteristic of each category is obtained from analysis of polytomous logit model. With National Pension data it is illustrated that application of logit model helps it possible to find significant factors which may not be found only with polytomous logit model. Application of the logit model is done by reducing the number of categories. Categories are grouped into the former and the latter group according to reference category. Extra finding of significant factor was possible from logistic regression analysis for the two groups after removing the reference category. It is expected that this application would be helpful for finding information and characteristics on ordered multicategory responses where the proportional odds model does not fit.

• 한국도로학회논문집
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• 제11권1호
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• pp.153-164
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• 2009

본 연구에서는 경찰청에서 제공한 2006년 전국 37,589개의 보행자 사고 자료에서 나타난 보행자 사고 심각도를 분석했다. 이를 위해 본 연구에서는 보행자사고 심각도에 영향을 미칠 것으로 예상되는 주요 요인을 미리 선정하여, 그 영향을 순서형 로짓 모형(Ordered Logit Model)을 통해 분석했다. 이모형은 사고 심각도와 같이 종속변수가 순서형으로 표시되는 경우 매우 유용한 결과를 제시하는 것으로 알려져 있어서 본 연구에서 사용했다. 본 연구는 다음과 같은 결과를 나타냈다. 첫째, 우리나라 보행자 사고 심각도는 운전자와 보행자로 나타나는 인적요인에서 성별, 나이, 음주여부에 영향을 많이 받는다. 둘째, 기타 요인에는 차량, 도로기하구조, 날씨, 시간대가 포함된다. 셋째, 보행자 사고 심각도는 계절요인과 무관하다. 끝으로, 보행자 사고 심각도 분석을 위해 순서형 로짓 모형을 적용하면 매우 적절한 분석결과를 얻을 수 있다. 결론적으로 본 연구는 우리나라 보행자 사고 심각도는 사람들이 전통적으로 생각하는 것과 같은 방식인 것으로 확인했다. 이 결론은 본 연구에서 사용한 사고자료에 국한한 것이며, 이 결론을 일반화시키려면 추후 연구가 필요하다.

• 대한토목학회논문집
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• 제37권2호
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• pp.437-444
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• 2017

본 연구의 목적은 고령층의 사회경제적 특성이 주택연금 이용 및 만족도에 영향을 미치는 요인을 실증분석하는 것이다. 2016년 주택연금 수요실태조사 자료를 바탕으로 이항로짓모형과 순서형로짓모형을 통한 실증분석을 실시하였다. 우선, 이항로짓모형을 활용하여 주택연금의 이용의 결정요인을 실증분석한 결과, 통계적으로 유의한 변수는 연령, 거주 지역, 보유자산, 가구원 수, 경제적으로 도움을 주고 있는 자녀의 유무로 나타났다. 구체적으로 연령이 높고, 수도권에 거주하며, 학력이 높을수록 주택연금의 이용 확률이 높아지는 것으로 추정되었다. 그리고 보유 자산이 작고, 가구원 수가 적으며, 경제적으로 도움을 주고 있는 자녀가 없는 경우에 주택연금의 이용 확률이 높아지는 것으로 추정되었다. 다음으로 순서형로짓모형을 활용하여 주택연금 이용 만족도를 실증분석한 결과, 통계적으로 유의한 변수는 연령, 성별, 거주 지역으로 추정되었다. 특히, 연령이 높고, 수도권에 거주하는 경우에는 주택연금 이용을 만족할 확률이 높아지는 것으로 추정되었다. 그리고 남성보다는 여성이 주택연금 이용에 만족할 확률이 높은 것으로 추정되었다. 실증분석 결과를 바탕으로 향후에 주택연금 가입률을 제고하고, 이용 만족도를 높이는 방안을 모색하는 것이 필요하다고 사료된다.

• 농촌지도와개발
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• 제16권2호
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• pp.405-438
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• 2009

This study aims to analyse the consumer and regional dwellers preferences of nonghyup influenced by contributions of socio-economical using ordered logit model. The survey data were obtained from 225 adults in Chungnam province, cross sectional data in 2007. This paper especially estimates the impact of socio-economic characteristics, such as sex, occupation, school career, and emotional and subjective recognition of contributions of regional socio-economical and culture development, social welfare, It also examines the impact of recognition of cooperational level with local government's policy, customer satisfaction ratings, degree of business ethics. The main results are as follows; the consumer and regional dwellers preferences of nonghyup is not affected by sex, occupation, school career. But the consumer and regional dwellers preferences of nonghyup is influenced by emotional and subjective recognition of contributions of regional socio-economical and culture development, social welfare, It also influenced by emotional and subjective recognition of policy cooperation level with local government, customer satisfaction ratings, degree of business ethics.

• 대한교통학회지
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• 제30권4호
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• pp.61-70
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• 2012

본 연구에서는 2006년 수도권 가구통행실태조사 자료를 활용하여 비업무통행빈도에 대한 고령자의 통행특성을 분석하였다. 분석결과 비업무통행빈도에 대한 고령자의 통행특성은 타 연령층과 상이한 것으로 나타났으며, 분석모형은 특정 변수에 이분산성을 가정한 이분산 서열로짓모형의 설명력이 우수한 것으로 나타났다. 모형추정 결과 고령자는 연령층이 낮을수록, 여성일수록, 운전면허를 가지고 있을수록, 직업 및 가구내 미취학 아동이 없을수록, 그리고 가구내 특정수준 이상의 월평균소득이 있을 경우 비업무통행빈도가 증가하는 것으로 나타났다. 본 연구의 분석결과에 대한 정책적 시사점으로 모든 고령자에 대하여 획일적인 교통정책을 수립하는 것 보다 고령자의 개인적 특성차이(연령대별 건강상태 등)를 고려한 교통정책이 수립되어야 할 것으로 판단된다.

• 자동차안전학회지
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• 제13권3호
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• pp.69-77
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• 2021

Although accident data from the National Police Agency and insurance companies do not know the vehicle safety, the damage level information can be obtained from the data managed by the bus credit association or the bus company itself. So the accident severity was analyzed based on the side impact accidents using accident repair cost. K-means clustering analysis separated the cost of accident repair into 'minor', 'moderate', 'severe', and 'very severe'. In addition, the side impact accident severity was analyzed by using an ordered logit model. As a result, it is appeared that the longer the repair period, the greater the impact on the severity of the side impact accident. Also, it is appeared that the higher the number of collision points, the greater the impact on the severity of the side impact accident. In addition, oblique collisions of the angle of impact were derived to affect the severity of the accident less than right angle collisions. Finally, the absence of opponent vehicle and large commercial vehicles involved accidents were shown to have less impact on the side impact accident severity than passenger cars.

• 한국기후변화학회지
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• 제9권3호
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• pp.283-291
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• 2018

The purpose of this study is to analyze the effects of useof weather and climate information on farmer income. To accomplish the objective of the study a farm survey was conducted, whose target respondents were local correspondents and reporters of the Korea Rural Economic Institute. The ordered logit model was employed for empirical analysis on determining whether use of weather and climate information affects farmer income. The analysis results show that the greater is farmer use of short-range weather forecasts, the higher is the income. The results also show higher farmers income with use of short-range special weather forecasts. Based upon the empirical results, the dissemination of more precise weather and climate information is suggested to increase farmer income.

• 한국도로학회논문집
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• 제16권5호
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• pp.83-90
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• 2014

PURPOSES : The purpose of this study is to identify the factors affecting the effectiveness of speed limit change that is defined as the amount of increased travel speed. METHODS : A ordered logit model was adopted to analyze the relationship between the change in travel speed and contributing factors. A stretch of Kyungbu freeway was selected for the analysis because the Korea expressway corporation has raised speed limit from 100km/h to 110km/h since September 1st in 2010. RESULTS : The results showed that geometric design elements, speeding cameras, and section length were identified as factors contributing the effectiveness. Contributing geometric design elements include the number of horizontal curves and vertical curves that do not meet the design requirement with 110km/h speed limit. CONCLUSIONS : The outcome of this study will be used for establishing various traffic operations and control strategies for freeway speed management.

• 한국주거학회논문집
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• 제26권5호
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• pp.133-141
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• 2015

As an empirical study on Daegu Downtown showing decentralization phenomenon, the purpose of this study is, based on the residential satisfaction research targeting the Downtown residents, to analyze the residential environment satisfaction and residential preference. Considering the parameters of measurement, we used the Ordered Logit Model and Logistic Regression. The results are as follows: First, the comprehensive residential environment satisfaction is relatively lower than that in 2008 and the residential preference in Downtown is similar to that of the past. Second, among the 7 factors that constitute the Downtown residential environment, the house, the landscape, and the security have a relatively large influence on the comprehensive residential environment satisfaction. Third, the residential environment factors which affect those who are hoping continuous Downtown residence are the safety, the house and the complex.

• 보건행정학회지
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• 제29권3호
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• pp.332-341
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• 2019

Background: This study analyzes the effects of the individual's health behavior on the health and the medical demand for the management of health and medical expenses. Methods: This study uses the Korea Health Panel Survey data from 2010 to 2015. We utilize the panel ordered logit model and the panel Tobit model with the subjective health status and the medical expenses as the dependent variables. Results: Chronic diseases would cause the deterioration of his or her health and the increase in medical expenses. Smoking and drinking alcohol would deteriorate one's health. The total amount of cigarettes increases medical expenses. Exercises could make people healthier, whereas excessive exercise might increase medical expenses. Private health insurance would increase medical expenses. Conclusion: Since health could reduce the medical expenses, people should promote one's health by changing one's behavior for health.