• International Journal of Highway Engineering
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• v.13 no.4
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• pp.199-209
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• 2011

In the study of traffic safety, the analysis on factors affecting crash severity and the understanding about their relationship is important to be planning and execute to improve safety of road and traffic facilities. The purpose of this study is to develop a hierarchical binomial logistic model to identify the significant factors affecting fatal injuries and vehicle damages of traffic crashes on freeway. Two models on death and total vehicle damage are developed. The hierarchical structure of response variable is composed of two level, crash-occupant and crash-vehicle. As a result, we have gotten the crash-level random effect from these hierarchical structure as well as the fixed effect of covariates, namely odds ratio. The crash on the main line and in-out section have greater damage than other facilities. Injuries and vehicle damages are severe in case of traffic violations, centerline invasion and speeding. Also, collision crash and fire occurrence is more severe damaged than other crash types. The surrounding environment of surface conditions by climate and visibility conditions by day and night is a significant factor on crash occurrence. On the orher hand, the geometric condition of road isn't.

• 한국노년학
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• v.38 no.4
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• pp.1107-1125
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• 2018

The purpose of this study was to present the empirical data for the prevention of suicide by analyzing the group differences according to the types of risk factors and protective factors of family members living with dementia patients and the effects of each type on suicidal ideation. This study investigated the characteristics of suicidal ideation among family members of people living with dementia by using a community health survey. It then investigated the effect of each latent group on the suicidal ideation of family members of people living with dementia. Twenty-four risk and protective factors on suicide ideation were analyzed by using Mplus. The four latent classes were high risk - low protective, high risk - high protective, low risk - high protective and low risk - low protective. Multivariate logistic regression analysis showed that the high risk-low protective factor group had the highest suicidal ideation. Based on these results, practical implications and challenges were presented.