title: Bivariate ordered-response probit model of driver's and passenger's injury severities in collisions with fixed objects.
abstract: 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 not necessarily observed, especially when only most severe injury of the accident and driver's injury are recorded in the police reports. To accommodate passenger IS as well, we explicitly develop a partial observability model of passenger IS in multi-occupant vehicle (HOV). The model has consistent coefficients for the driver IS between single-occupant vehicle (SOV) and multiple-occupant vehicle accidents, and provides more efficient coefficient estimates by taking into account the common unobserved factors between driver and passenger IS. The results of the empirical analysis using 4-year statewide accident data in Washington State reveal the effects of driver's characteristics, vehicle attributes, types of objects, and environmental conditions on both driver and passenger IS, and that their IS have different elasticities to some of the risk factors.
authors.affiliation: Department of Civil Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan. yamamoto@civil.nagoya-u.ac.jp
authors.forename: Toshiyuki
authors.initials: T
authors.lastname: Yamamoto
authors.forename: Venkataraman N
authors.initials: VN
authors.lastname: Shankar
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D006801:Humans; D015233:Models, Statistical; D012307:Risk Factors; D014861:Washington; D014947:Wounds and Injuries / Q000453:epidemiology*