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 …

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 …

Collisions between heavy trucks and passenger cars are a major concern because of the
severity of injuries. This research has two objectives. One is to examine the impact of various …

Problem: Motorcycles constitute about 19% of all motorized vehicles in Singapore and are
generally overrepresented in traffic accidents, accounting for 40% of total fatalities. Method …

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

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 …

Long-combination vehicles (LCVs) have significant potential to increase economic
productivity for shippers and carriers by decreasing the number of truck trips, thus reducing …

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 presents statistical evidence showing how variations in the attributes of road
users can lead to variations in the probabilities of sustaining different levels of injury in motor …