The extant traffic safety research literature includes numerous examples of studies that
assess those factors affecting the degree of injury sustained by crash-involved motor vehicle …

The existing studies on drivers' injury severity include numerous statistical models that
assess potential factors affecting the level of injury. These models should address specific …

This paper describes the use of ordered probit models to examine the risk of different injury
levels sustained under all crash types, two-vehicle crashes, and single-vehicle crashes. The …

A bivariate ordered-response probit model of driver's and most severely injured passenger's
severity (IS) in collisions with fixed objects is developed in this study. Exact passenger's IS is …

This study examines contributing variables affecting the driver injury-severity in single-
vehicle roadway departure crashes. To capture the threshold heterogeneity and unobserved …

Understanding the underlying relationship between crash injury severity and factors such as
driver's characteristics, vehicle type, and roadway conditions is very important for improving …

This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …

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 …

Problem: The occurrence and outcome of traffic crashes have long been recognized as
complex events involving interactions between many factors, including the roadway, driver …

In accident injury-severity analysis, an inherent limitation of the traditional ordered probit
approach arises from the a priori consideration of a homogeneous source for the accidents …