• Transportation Technology and Policy
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• v.12 no.2
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• pp.21-28
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• 2015

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.97-97
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• 2017

• The Korean Journal of Health Service Management
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• v.8 no.3
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• pp.147-155
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• 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.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.4
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• pp.13-30
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• 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.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.829-839
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• 2013

This study is a descriptive research study with the purpose of predicting and comparing factors of depression affecting residents in a metropolitan city by using logistic regression analysis and decision-making tree analysis. The subjects for the study were 462 residents ($20{\leq}aged{\angle}65$) in a metropolitan city. This study collected data between October 7, 2011 and October 21, 2011 and analyzed them with frequency analysis, percentage, the mean and standard deviation, ${\chi}^2$-test, t-test, logistic regression analysis, roc curve, and a decision-making tree by using SPSS 18.0 program. The common predicting variables of depression in community residents were social dysfunction, perceived physical symptom, and family support. The specialty and sensitivity of logistic regression explained 93.8% and 42.5%. The receiver operating characteristic (roc) curve was used to determine an optimal model. The AUC (area under the curve) was .84. Roc curve was found to be statistically significant (p=<.001). The specialty and sensitivity of decision-making tree analysis were 98.3% and 20.8% respectively. As for the whole classification accuracy, the logistic regression explained 82.0% and the decision making tree analysis explained 80.5%. From the results of this study, it is believed that the sensitivity, the classification accuracy, and the logistics regression analysis as shown in a higher degree may be useful materials to establish a depression prediction model for the community residents.

• International Journal of Highway Engineering
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• v.20 no.2
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• pp.97-107
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• 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.

• Journal of Korean society of Dental Hygiene
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• v.13 no.1
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• pp.158-165
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• 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.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.391-397
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• 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.

• The Korean Journal of Emergency Medical Services
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• v.25 no.3
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• pp.37-48
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• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.253-268
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• 2020

This study examined the effectiveness of policy measures in a growth management plan by analyzing empirically the influence of regulations and incentives in a non-urban growth management plan of Sejong City using the binomial logistic model. The parcel unit data related development location of Sejong City from 2012 to 2017 was used in the model. The analysis showed that time regulation in the growth management plan has a negative (-) impact on the spread of development, which means it is effective in slowing urban sprawl by lowering the profits of developers. The time regulation applied in Sejong City needs to be used actively in other cities in Korea to prevent urban sprawl. Nevertheless, floor ratio incentives had no influence in inducing development within the growth management area, which means a new incentive policy to meet the local characteristics is needed to strengthen the effectiveness of the growth management plan. This study is meaningful because it attempted an empirical analysis of the effects of the growth management plan at The National Territory Act, and this study could encourage further studies.