TY - JOUR
T1 - Bivariate ordered-response probit model of driver's and passenger's injury severities in collisions with fixed objects
AU - Yamamoto, Toshiyuki
AU - Shankar, Venkataraman N.
N1 - Funding Information:
This study was conducted during the first author’s stay at the University of Washington, Seattle as a visiting scholar hosted by Fred L. Mannering, and supported, in part, by a research grant to the first author by the Konoike Foundation. The authors acknowledge anonymous reviewers for their valuable comments.
PY - 2004/9
Y1 - 2004/9
N2 - 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.
AB - 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.
KW - Bivariate ordered-response probit model
KW - Fixed object
KW - Injury severity
KW - Single-vehicle accident
UR - http://www.scopus.com/inward/record.url?scp=2942511428&partnerID=8YFLogxK
U2 - 10.1016/j.aap.2003.09.002
DO - 10.1016/j.aap.2003.09.002
M3 - Article
C2 - 15203364
AN - SCOPUS:2942511428
SN - 0001-4575
VL - 36
SP - 869
EP - 876
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
IS - 5
ER -