This paper attempts to provide additional insights of using a bivariate ordered probit model
to simultaneously examine influential factors that affect injury severity (IS) and collision type …

This paper attempts to provide additional insights of using a bivariate ordered probit model
to simultaneously examine influential factors that affect injury severity (IS) and collision type …

Abstract According to the Traffic Accident Analysis System (TAAS), approximately 41% of all
traffic crashes in Korea occur in metropolitan areas, such as Seoul and Gyeonggi. Therefore …

The objective of this study is to investigate the impact of influencing factors on crash injury
severity at signalized intersections by employing a multilevel ordered probit model, which …

Road crashes are a leading cause of death and serious injuries both developed and
developing countries. Intersections are recognized as being among the most hazardous …

1.1 연구의 배경 및 목적 1980 년대 이후 기술의 발달과 국민 소득의 증가로 인해 우리나라의
차량 보유대수는 급속도로 증가해 왔다. 이로인해 보행은 모든 통행을 위해 사용되는 가장 …

In this study, a multivariate random-parameters Tobit model is proposed for the analysis of
crash rates by injury severity. In the model, both correlation across injury severity and …

To reduce injuries in road crashes, better understanding is needed between the relationship
of injury severity and risk factors. This study seeks to identify the contributing factors affecting …

In recent years, the rapid growth of vehicles have increased traffic crashes. Since they can
cause the economic losses and have put the life qualify in danger, there should be …

Many studies have shown that intersections are among the most dangerous locations of a
roadway network. Therefore, there is a need to understand the factors that contribute to …