This study explores the differences in driver-injury severity between drivers impaired and not-
alcohol-impaired, while taking into consideration the role of age and gender. Using data …

Objective: It is well known that alcohol and drugs influence driving behavior by affecting the
central nervous system, awareness, vision, and perception/reaction times, but the resulting …

This paper seeks to investigate the effects of passengers on driver-injury severities. Using
single-vehicle crashes, a random parameters logit model with heterogeneity in parameter …

Temporal variation has been recognized as one of the major sources of unobserved
heterogeneity in traffic safety research that has not been completely addressed. Overlooking …

This research develops a mixed logit model of driver-injury severity in single-vehicle crashes
in California. The research especially considers the heterogeneous effects of age and …

The single-vehicle crash has been recognized as a critical crash type due to its high fatality
rate. In this study, a two-year crash dataset including all single-vehicle crashes in New …

This study explores the differences between urban and rural driver injuries (both passenger-
vehicle and large-truck driver injuries) in accidents that involve large trucks (in excess of …

Several driver, crash, and vehicle characteristics may affect the fatality risk of drivers
involved in crashes. To determine the independent contribution of these variables to drivers' …

Factors related to drivers and their driving habits dominate the causation of traffic crashes.
An in‐depth understanding of the human factors that influence risky driving could be of …

This study analyzes the injury severity of commercially-licensed drivers involved in single-
vehicle crashes. Considering the discrete ordinal nature of injury severity data, the ordered …