Identification of Factors Leading to High Severity of Crashes in Rural Areas Using Ordered Probit Modeling
No hay miniatura disponible
Fecha
Título de la revista
ISSN de la revista
Título del volumen
Editor
Resumen
Descripción
This study made an effort to identify critical factors contributing to increased crash severities on
rural highways. Crash data from the Kansas Accident Reporting System (KARS) database was
analyzed and crash severity was modeled using ordered choice models. Many driver-related factors,
such as alcohol involvement, lack of seat belt usage, excessive speed, and driver ejections because
of the crash contribute to the increased severity of crashes in rural areas. Also, severities of singlevehicle
crashes are higher than two-vehicle and animal-vehicle crashes. Factors related to roadway
geometry such as sharp curves and steep grades are also found to contribute to the increased crash
severity in rural areas.