Accounting for some types of heterogeneity has been an important pathway to improving our
models in the transportation domain, specifically in travel behavior research. This study …

This study employs a copula-based multivariate temporal ordered probit model to
simultaneously estimate the four common intersection crash consequence metrics–driver …

Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …

Highway accidents are complex events that involve a variety of human responses to external
stimuli, as well as complex interactions between the vehicle, roadway features/condition …

This paper investigates risk factors that significantly contribute to the injury severity of
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …

Using the data from large-truck crashes in Los Angeles over an eight-year period (January
1, 2010 to December 31, 2017), the variation in the influence of factors affecting injury …

The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

Aggressive driving has become a national traffic-safety concern, with increasing congestion
and other stress-inducing factors making it more likely drivers take out their frustrations by …

This study explores the temporal instability of factors affecting motorcyclist-injury severities in
single-vehicle motorcycle crashes in Florida. Two data sources are used; one covers the …

Differences in hybrid and non-hybrid vehicle design, and potential differences in driver-
related behavior among owners of these vehicle types, can potentially have interesting …