Injury Severity Analysis of Truck-involved Crashes on Korean Freeway Systems using an Ordered Probit Model

순서형 프로빗 모형을 적용한 고속도로 화물차 사고 심각도

Kang, Chanmo;Chung, Younshik;Chang, Yoo Jin

  • Received : 2019.03.27
  • Accepted : 2019.04.16
  • Published : 2019.06.01


In general, truck-involved crashes increase severity in terms of both injury level and crash impact level. Recently, although the frequency and fatality of truck-involved crashes in Korea are rising, their associative studies are very limited. Therefore, the objective of this study is to identify critical factors influencing on injury severity of truck-involved crashes on Korean freeway system. To carry out this objective, this study uses an ordered probit model (OPM) based on a 6-year crash dataset from 2012 to 2017. From the analysis, eight variables were found to have a great effect on injury severity: older driver, crash speed, rear-end collision, number of vehicles involved, drowsy driving, nighttime (0:00 to 6:00) driving, overturn or rollover, and vehicle's fire after crash. However, injury severity was less severe in crashes under snowy condition and crashes to traffic facilities (i.e., crash alone).


Freeway;Crash;Truck;Injury severity;Ordered probit model


Grant : 사업용 차량을 이용한 도로교통 정부 수집 및 활용기술 개발

Supported by : 국토교통과학기술진흥원