In the transportation safety field, in an effort to improve safety, statistical models are
developed to identify factors that contribute to crashes as well as those that affect injury …

A most commonly identified exogenous factor that significantly affects traffic crash injury
severity sustained is the collision type variable. Most studies consider collision type only as …

Previous research in crash injury severity analysis has largely focused on level of injury
severity sustained by the driver of the vehicle or the most severely injured occupant of the …

An emerging copula-based methodology is used to address endogeneity in models of crash
injury severity. Specifically, two important sources of endogeneity are addressed:(a) …

Research to date on crash injury severity has focused on the driver of the vehicle or the most
severely injured occupant. Though useful, these studies have not provided injury profiles of …

ABSTRACT 1 This paper employs a recently emerging copula-based methodology to
address endogeneity in 2 crash injury severity models. Specifically, two important sources of …

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

A copula-based model is developed in this study to jointly model the severity of freeway
primary crashes and secondary crashes. The copula-based model can concurrently account …

The main objective of this study is to simultaneously investigate the degree of injury severity
sustained by drivers involved in head-on collisions with respect to fault status designation …

In safety literature, there are two ways to incorporate the potential correlation between
multiple crash frequency variables:(1) simulation-based approach and (2) analytical closed …