• Title/Summary/Keyword: city logistic

검색결과 383건 처리시간 0.025초

우리나라 대도시의 지역별 후기조기분만 발생에 관한 연구: 2008-2012 (Regional Variance of Late Preterm Birth in Seven Metropolitan Cities of Korea: 2008-2012)

  • 임달오;박상화
    • 보건의료산업학회지
    • /
    • 제8권3호
    • /
    • pp.147-155
    • /
    • 2014
  • The objective of the study was to analyze the regional variance of late preterm birth (LPT: 34-36 weeks) by analyzing 2008-2012 birth certificated data of seven metropolitan cities (536,984 births: primiparous singleton birth) from Korea Statistics. The odds ratio and 95% confidence intervals were calculated from multinominal logistic regression analyses to describe the regional variance of LPT adjusted for maternal and infantile variables. The highest incidence of LPT rate by region were observed in Ulsan metropolitan city (3.7 percent), and the lowest in Deajon metropolitan city (3.1 percent). After adjustment by logistic regression for infantile sex, maternal variables, there was a significant increase in the risk of late preterm birth in Ulsan metropolitan city (odds ratio: 1.21) as compared with the incidence of LPT in Deajon metropolitan city. The odds ratio of LPT by region were 1.17 in Daegu metropolitan city, 1.13 Busan metropolitan city, and 1.12 in Incheon metropolitan city. More research is required to understand the risk factors for late preterm birth in this area including socio-demographic factors, medical factors, and regional and environmental factors.

로지스틱 회귀모형을 이용한 환경정책 효과 분석: 울산광역시 녹지변화 분석을 중심으로 (An Analysis of Environmental Policy Effect on Green Space Change using Logistic Regression Model : The Case of Ulsan Metropolitan City)

  • 이성주;류지은;전성우
    • 한국환경복원기술학회지
    • /
    • 제23권4호
    • /
    • pp.13-30
    • /
    • 2020
  • This study aims to analyze the qualitative and quantitative effects of environmental policies in terms of green space management using logistic regression model(LRM). Landsat satellite imageries in 1985, 1992, 2000, 2008, and 2015 are classified using a hybrid-classification method. Based on these classified maps, logistic regression model having a deforestation tendency of the past is built. Binary green space change map is used for the dependent variable and four explanatory variables are used: distance from green space, distance from settlements, elevation, and slope. The green space map of 2008 and 2015 is predicted using the constructed model. The conservation effect of Ulsan's environmental policies is quantified through the numerical comparison of green area between the predicted and real data. Time-series analysis of green space showed that restoration and destruction of green space are highly related to human activities rather than natural land transition. The effect of green space management policy was spatially-explicit and brought a significant increase in green space. Furthermore, as a result of quantitative analysis, Ulsan's environmental policy had effects of conserving and restoring 111.75㎢ and 175.45㎢ respectively for the periods of eight and fifteen years. Among four variables, slope was the most determinant factor that accounts for the destruction of green space in the city. This study presents logistic regression model as a way of evaluating the effect of environmental policies that have been practiced in the city. It has its significance in that it allows us a comprehensive understanding of the effect by considering every direct and indirect effect from other domains, such as air and water, on green space. We conclude discussing practicability of implementing environmental policy in terms of green space management with the focus on a non-statutory plan.

로지스틱 회귀분석과 의사결정나무 분석을 이용한 일 대도시 주민의 우울 예측요인 비교 연구 (Comparative Analysis of Predictors of Depression for Residents in a Metropolitan City using Logistic Regression and Decision Making Tree)

  • 김수진;김보영
    • 한국콘텐츠학회논문지
    • /
    • 제13권12호
    • /
    • pp.829-839
    • /
    • 2013
  • 본 연구는 로지스틱 회귀분석과 의사결정나무 분석을 활용하여 일 대도시 주민의 우울에 영향을 주는 요인을 예측하고 비교하고자 시도된 서술적 조사연구이다. 연구대상은 20세에서 65세 미만의 일 대도시 주민 462명이었다. 자료 수집은 2011년 10월 7일부터 10월 21일까지이었으며, 자료 분석은 SPSS 18.0 프로그램을 이용하여 빈도, 백분율, 평균과 표준편차 및 ${\chi}^2$-test, t-test, 로지스틱 회귀분석, roc curve, 의사결정나무 분석으로 분석하였다. 본 연구 결과, 로지스틱 회귀분석과 의사결정나무 분석에서 공통적으로 나타난 우울 예측요인은 사회부적응, 주관적 신체증상 및 가족 지지이었다. 로지스틱 회귀분석에서 특이도 93.8%, 민감도 42.5%이었고, 본 연구의 모형 적합도를 roc curve 검증 한 결과 AUC=.84으로 본 연구 모형은 적합(p=<.001)하다고 할 수 있다. 우울예측에 대한 의사결정나무 분석은 분류에 대한 예측 정확도에서 특이도 98.3%, 민감도 20.8%이었고, 전체 분류 정확도는 로지스틱 회귀분석은 82.0%, 의사결정나무 분석은 80.5% 이었다. 본 연구 결과 민감성과 분류 정확도와 더 높게 나타난 로지스틱 회귀분석 방법이 지역 주민의 우울 예측 모형을 구축하는데 더 유용한 자료로 사용될 수 있으리라 사료된다.

로지스틱 회귀분석을 이용한 개인 및 도시 특성에 기반한 교통사고 연구 (Study on Traffic Accidents Characteristics by using Driver and City Characteristics)

  • 장재민;이숭봉;이영인
    • 한국도로학회논문집
    • /
    • 제20권2호
    • /
    • pp.97-107
    • /
    • 2018
  • PURPOSES : The effects on traffic accidents change with the changing environment. Accordingly, this study analyzes the characteristics of traffic accidents based on the personal characteristics (gender and age) of drivers, and those of 25 autonomous districts in Seoul, and suggests improvements. METHODS : Based on data pertaining to traffic accidents in Seoul, the analysis of accident characteristics was conducted by categorizing the types of traffic accidents according to the drivers' gender and age, and characteristics of 25 autonomous districts in Seoul. Further, for statistical verification, the SPSS software was used to derive influence variables through a multinomial logistic regression analysis, and a method for reducing traffic accidents was proposed. RESULTS : Analysis results show that males tend to be more involved in speed-related accidents and females in low-experience driving-related accidents such as those during parking and alleyway driving. In addition, variables such as age, automobile type, district, and day of the week are found to influence accident types. CONCLUSIONS : This study analyzed the accident characteristics based on personal and city characteristics to reflect the sociological characteristics that influence traffic accidents. The number of traffic accidents in Korea could be decreased drastically by implementing the results of this study in customized safety education and traffic maps.

수돗물불소농도조정사업에 관한 목포시민의 의식에 관한 조사 (A survey on the awareness of water fluoridation in Mokpo city)

  • 곽정숙;문상은;최형화
    • 한국치위생학회지
    • /
    • 제13권1호
    • /
    • pp.158-165
    • /
    • 2013
  • Objectives : The purpose of this study was to obtain the community residents' support and approval on the water fluoridation program in Mokpo, Korea. Methods : Questionnaires of this were 1085 adults, over the age of 20, who resided in the Mokpo city for over the 1year. In order to analyze the factors that were related to the approval on administering water fluoridation program, the data analyzed using a chi-squared test and a multiple logistic regression analysis. Results : Respondents approving the implementation of water fluoridation were 50.5%. The general factors of approval were age, education, Monthly household income. The knowledge factors of approval were experience of hearing of this program, the knowledge of the purpose of this program, the knowledge of the some regions in South Korea had been implement water fluoridation. The results of multiple logistic regression analysis were the awareness of oral health and the knowledge level of water fluoridation were related with this program approval. Conclusions : In order to enhance the rate of approval on administrating the water fluoridation, it is necessary to publicize the purpose, effect, and stability of this program, through a diverse mass media and reinforce the health education program to oral health management.

Exploring the Health Production Model in Vietnam

  • NGUYEN, Tuyen Thi Mong;NGUYEN, Quyen Le Hoang Thuy To
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권12호
    • /
    • pp.391-397
    • /
    • 2021
  • One of the sustainable development goals is to promote good health and well-being for all people. Child health is a top priority since their health issues can have a detrimental impact on human capital development, which is a critical input for the growth model. This paper applies the health production model to explore the determinants that influence the health of children under the age of five. The results of a survey of 203 households in Ho Chi Minh City, Vietnam, were examined. Child health is measured using anthropometric indicators such as weight-for-age, height-for-age, and weight-for-height (ZWFH). Three separate multinomial logistic models are regressed to examine the drivers of child health as proxied by z-score weight for age, z-score height for age, and z-score weight for height. The significance of input variables relating to a child's attributes, household, and environment was validated by the findings. The inclusion of overweight besides under-nourished indexes is novel because it reflects the current trend of child over-nutrition. The findings of the study highlight the importance of a wide range of initiatives to enhance child health. Moreover, the genetic effect is found to be crowded out by environmental and household factors. The finding verifies that despite their parents' moderate height, the future generation of Vietnamese can achieve the desired height.

한국의 중증외상 사망률의 지역적 차이에 대한 비교 연구 (Comparative study of geographic differences of severe trauma mortality in Korea)

  • 정태욱;조지연;김성호
    • 한국응급구조학회지
    • /
    • 제25권3호
    • /
    • pp.37-48
    • /
    • 2021
  • Purpose: Mortality due to trauma is relevant to both low-income and high-income countries. A diversity of causes leads to mortality such as, socioeconomic status and geographic factors. This study sought to differentiate between cases of mortality in a metropolitan city and a rural area, with data from critical trauma patients. Methods: Community-based severe trauma surveillance data from 2018 was used in this study. Logistic regression was conducted to compare the odds ratios between deaths that occurred in a metropolitan city and a rural area. Multiple logistic regression by controlling variables such as type of medical institution and injury severity score was conducted to estimate the effect on the trauma patients. Results: In total, 28,217 participants were selected as total population. We observed that the odds of death decreased as the level of the trauma center increased. Compared to the metropolitan city, the odds ratio of rural areas was 1.44. The odds ratio increased as the injury severity score increased. Conclusion: This study suggests that the mortality of critical trauma patients is higher in rural areas than in metropolitan cities. More studies are needed to expand on this.

성장관리방안 정책수단의 영향력 분석 (Analyzing the Influence of Policy Measures for Growth Management Plan)

  • 전병창
    • 한국산학기술학회논문지
    • /
    • 제21권3호
    • /
    • pp.253-268
    • /
    • 2020
  • 성장관리방안의 주요 정책수단이 성장관리지역 내에서 개발 입지에 어떠한 영향력을 미치는지를 확인하고자 세종시의 수립 사례를 대상으로 이항로짓모형을 이용하여 분석하였다. 2012년부터 2017년까지 세종시의 필지기반 자료를 사용하여 자연환경요인, 인문환경요인, 제도적 요인, 성장관리방안 정책수단요인을 독립변수로, 필지별 개발여부를 종속변수로 하는 이항로짓모형을 구축하였다. 분석 결과, 성장관리지역 내에서 인센티브와 물리적 규제는 영향력이 없는 것으로 나타났으며 시간적 규제는 연접필지 개발을 억제하는 영향력을 발휘하는 것으로 나타났다. 성장관리방안 시행 이전과 이후를 비교하여 분석한 결과, 성장관리방안 시행 이후에 시간적 규제의 영향력이 강화된 것으로 나타났다. 본 연구를 통한 정책적 시사점은 다음과 같다. 첫째, 성장관리방안의 용적률 인센티브는 효과가 미미한 바 지역적 특성이나 용도별 특성에 맞게 적용할 수 있도록 인센티브를 다양화할 필요가 있다. 둘째, 세종시 성장관리방안에서 적용하고 있는 시간적 규제는 간접적으로 개발시기를 조절하고 기허가지 내 기반시설 확보를 앞당기는 효과가 있으므로 규모·입지 규제 위주로 이루어진 현 성장관리방안을 보완하는 정책수단으로서 활용될 수 있을 것으로 기대된다.