Random parameters logit models have become an increasingly popular method to
investigate crash-injury severities in recent years. However, there remain potential elements …

Research in highway safety continues to struggle to address two potentially important
issues; the role that unobserved factors may play on resulting crash and injury-severity …

This study explores the differences between day and night pedestrian-injury severities in
vehicle–pedestrian crashes over a five-year period using data from the state of Kansas …

In Thailand in 2016, more than 70% of all deaths due to road accidents were motorcyclist
deaths. This study uses a correlated random parameters ordered probit model with …

This paper examines the differences between weekday, weekend, and holiday crashes on
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …

This paper seeks to identify factors that influence driver injury severities in single-vehicle
freeway crashes when airbags deployed and when airbags did not deploy. Injury-severity …

This study explores temporal shifts in the effects of explanatory variables on the injury
severity outcomes of crashes involving distracted driving. Using data from distracted driving …

Overturned crashes are associated with a disproportionate number of severe injuries and
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …

Vulnerable road users (VRUs) involved crashes are a major road safety concern due to the
high likelihood of fatal and severe injury. The use of data-driven methods and heterogeneity …

Driving at nighttime may make drivers more likely to be involved in fatal crashes. To
investigate the temporal instability and age differences of contributors determining different …