• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.634-647
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• 2019

The purpose of this study was to investigate the influence of constructive factors of predictive variables related to suicidal ideation, in contrast to previous studies analyzing the influence of predictive variables related to suicidal ideation. The 11,755 subjects were participated in the 12th(2017) KoWePS. After the diagnosis of multicollinearity among constructive factors of predictive variables related to suicidal ideation, and are analyzed with the statistical program Spss 23.0 as a calling logistic regression. The major findings were as follows: The more patriarchal gender role increase, the more language violence occur, the more feel loneliness, the more people treat me cold, the more drinking' black-out occur, the odds ratio of suicidal ideation increases, while the more ladder score of life increase, the odds ratio of suicidal ideation decreases. Based on this result, we suggests social welfare implications to reduce or prevent suicidal ideation, and the limitations of this study and the suggestions for future studies were also presented.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.887-894
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• 2018

An electric vehicle is emerging as an alternative to the response of global climate change and sustainability. However, an Electric vehicle has not been popular due to the constraints such as its price or technical limitations. In order to analyze the effect of purchasing electric vehicles, this study conducted a binary logistic regression model that demonstrates the relation between purchasing and influencing variables. Variables which have high correlation were excluded from the model through the correlation analysis to prevent multicollinearity. Socio-economic variables such as the number of owned vehicles, sex, ages are not significant. On the other hand, Variables related to prices, charging and policy are found to have a significant to effect on the purchase of electric vehicles. In accordance with the model estimated result, it seems to be necessary to improve the charging incentives, or to provide electric car information and to expand opportunities for experience electric vehicles. The result is also expected to be helpful for spreading electric vehicles and formulating policies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1671-1680
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• 2014

The purpose of this research is to observe the rate of breastfeeding and to identify factors related to the breastfeeding in rural area. We conducted a survey targeting 139 mothers whose infants are less than 60 months old in Ulju-gun, Ulsan. SPSS Win 18.0 program was used as the data analysis and a statistical statement by mean, standard deviation, and logistic regression analysis. According to the findings of this study, it indicated that the factors affecting the rate of breastfeeding in a rural region are mothers'job, 1 month breastfeeding after birth and the education of breastfeeding before birth. In this study we need to continuously conduct the breast feeding education by hospitals or clinics before birth, so that breast feeding can be provided well after birth. Also, we need to establish the social system and atmosphere without any disadvantages resulting from maternity leave so that working mothers can provide full breast feeding for six months after birth because the return to work can interfere with the practice of breast feeding.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2096-2109
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• 2012

This study investigates empirical issues that have received little attention in the previous research in the Korean capital market. It is to find any financial determinants on the capital structure for the firms listed in the KOSDAQ(Korea Securities Dealers Automated Quotation). Another test is performed to find any possible discriminating factors by utilizing a robust methodology, which may distinguish between the firms belonging the 'prime section' and the 'venture section' in terms of their financial aspects. Moreover, the null hypothesis that the changing trend or movement of a firm's capital structure with respect to its industry mean (or median) may be random, is also tested. For the book-value based debt ratios, size(INSIZE), growth(GROWTH), Market to book value of equity(MVBV), volatility(VOLATILITY), market value of equity (MVE) and section dummy (SECTION) showed their statistically significant effects on the book-value based leverage ratios, respectively, while size(INSIZE), growth(GROWTH), market value of equity(MVE), beta(BETA) and section dummy (SECTION) showed their statistically significant effects on the market-value based leverage ratios. This study also found an interesting result that a firm belonging to each corresponding industry has a tendency for reversion toward its mean and median leverage ratios over the five-year tested period.

• Journal of Korean Society of Transportation
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• v.22 no.1 s.72
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• pp.33-42
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• 2004

지하철역별 수요는 개통 후 경과 연도에 따라서 S자 형태로 증가한다. 즉 개통 초기에는 잠재되어 있던 지하철 수요가 시간의 경과에 따라 계속적으로 증가하다가, 개통 후 10$\sim$13년 정도가 경과하면 최대를 나타낸 후 거의 정체하는 현상을 보인다. 그러나 지금까지 지하철 수요를 추정하기 위해서 이용되었던 4단계 모형은 이러한 지하철 수요의 증가 추세를 반영할 수 없기 때문에 실제 수요와 많은 차이를 보였다. 따라서 본 연구에서는 이러한 문제를 해결해 보고자 서울시 지하철 2$\sim$8호선의 실제 수요를 토대로 지하철역별 수요, 특히 순수한 승차인원을 추정하는 모형을 개발하였다. 모형에 적용되는 함수식은 실제 지하철역별 수요와 가장 유사한 형태를 보이고 있는 로지스틱 함수식을 이용하였다. 또한 각각의 지하철역별로 나타나는 상이한 특성은 카테고리로 분류하여 모형에 반영하였다. 카테고리는 토지이용도, 사회경제활동의 규모, 그리고 지하철역의 특성에 따라 분류하였다. 각 카테고리별 특성을 대표하는 독립 변수로 인구 종사자수, 학생수와 개통 후 경과 연도 등을 선정하였다. 그 결과 카테고리별로 추정된 지하철역별 수요는 통계적으로 매우 유의한 것으로 나타났다. 본 연구는 지하철역별로 승차하는 순수한 수요를 보다 정확하게 추정하기 위한 모형을 개발하는 것이 주된 목적이다. 반면에 본 모형을 이용하여 지하철역별 하차 수요 및 횐승 수요를 추정하는 것은 어렵다. 따라서 기존에 지하철 수요를 추정하는 데에 가장 많이 사용된 4단계 모형과 접목하여야 하며, 이에 대한 방안도 본 연구에서 제시하였다.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.17-24
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• 2018

This study aimed to investigate the relationship between the health behavior and prevalence of chronic disease in 5,638 city workers. Data were analyzed with frequency, percentage, chi-square test, logistic regression analysis. The results showed that the health behaviors of the subjects were high smoking and drinking, low exercise, and the prevalence of chronic diseases was high in obesity and hyperlipemia. The major influencing factors of chronic diseases were age, exercise and drinking. This study suggests that it is necessary to operate a systematic health management program for the desirable health behaviors in the national, local, and industrial fields.

• Journal of radiological science and technology
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• v.36 no.3
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• pp.219-225
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• 2013

The primary goal of this study was to ascertain the primary factors to the affect for the carotid artery intima-media thickness (IMT), the prevalence of metabolic syndrome and other risks can possibly influence the carotid artery IMT. All patients data (total specimens: 289, male: 197, female: 92) including the carotid artery ultrasonography examination. The all data were analyzed by the use of SPSS software, version 21.0 (SPSS, Chicago, IL USA), with the descriptive statistics method. The Results of this study was found to be highly increased in the males than the females. The prevalence of metabolic syndrome in all of the participants was 30.5 percentages. The carotid artery IMT in the subjects with metabolic syndrome was significantly high in both genders, compared to the rest, who were without metabolic syndrome. The Pearson's correlation coefficient of metabolic syndrome and CIMT was 0.378(p<0.01). In conclusions, the present study also supports the association between the carotid artery IMT and the metabolic syndromes with cardiovascular risk factors. Usage of B-mode ultrasonography to measure the carotid artery IMT was found to be highly effective in the current analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.2002-2011
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• 2015

This study was performed to determine the levels of physical function (ADL, IADL) and to reveal its association with the related factors in the elderly people. The study subjects were 1,756 (male 872, female 884) people aged over 70 who received medical check-ups and long-term care services between 2009 and 2012 from the National Health Insurance Corporation. As a result, the distribution of impaired ADL and IADL increased significantly with age. Logistic regression showed that the risk ratio of impaired ADL was increased significantly in the following groups: female, urban, low weight, stroke history group, smoking, alcohol drinking, and not regular exercise group. The risk ratio of an impaired IADL were increased significantly in the group of females, low weight, smoking, alcohol drinking. On the other hand the risk ratio of an impaired ADL and IADL was similar in each age group. As above results, the levels of ADL and IADL in the study subjects are closely related to the socio-demographic characteristics and health related behaviors. In particular, they suggested that the levels of ADL and IADL were lower in the poor group of the health-related behaviors, such as smoking, alcohol drinking, and regular exercise.

• Journal of Korea Water Resources Association
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• v.53 no.2
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• pp.121-129
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• 2020

The increase of impervious surface and development along the river due to urbanization not only causes an increase in the number of associated flood risk factors but also exacerbates flood damage, leading to difficulties in flood management. Flood control measures should be prioritized based on various geographical information in urban areas. In this study, a probabilistic flood hazard assessment was applied to flood-prone areas near an urban river. Flood hazard maps were alternatively considered and used to describe the expected inundation areas for a given set of predictors such as elevation, slope, runoff curve number, and distance to river. This study proposes a Bayesian logistic regression-based flood risk model that aims to provide a probabilistic risk metric such as population-at-risk (PAR). Finally, the logistic regression model demonstrates the probabilistic flood hazard maps for the entire area.

• Journal of Korea Water Resources Association
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• v.43 no.12
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• pp.1083-1091
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• 2010

Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. However, widely used estimation schemes fail to describe the realistic variability of daily precipitation field. We compare and contrast the performance of statistical methods for the spatial estimation of precipitation in two hydrologically different basins, and propose a two-step process for effective daily precipitation estimation. The methods assessed are: (1) Inverse Distance Weighted Average (IDW); (2) Multiple Linear Regression (MLR); (3) Climatological MLR; and (4) Locally Weighted Polynomial Regression (LWP). In the suggested simple two-step estimation process, precipitation occurrence is first generated via a logistic regression model before applying IDW scheme (one of the local scheme) to estimate the amount of precipitation separately on wet days. As the results, the suggested method shows the better performance of daily rainfall interpolation which has spatial differences compared with conventional methods. And this technique can be used for streamflow forecasting and downscaling of atmospheric circulation model effectively.