Comparison of factors affecting injury severity in angle collisions by fault status using a random parameters bivariate ordered probit model

Publication date: April 2014 Source:Analytic Methods in Accident Research, Volume 2 Author(s): Brendan J. Russo , Peter T. Savolainen , William H. Schneider IV , Panagiotis Ch. Anastasopoulos The extant traffic safety research literature includes numerous examples of studies that assess those factors affecting the degree of injury sustained by crash-involved motor vehicle occupants. One important methodological concern in such work is the potential correlation in injury outcomes among occupants involved in the same crash, which may be due to common unobserved factors affecting such occupants. A second concern is unobserved heterogeneity, which is reflective of parameter effects that vary across individuals and crashes. To address these concerns, a random parameters bivariate ordered probit model is estimated to examine factors affecting the degree of injury sustained by drivers involved in angle collisions. The modeling framework distinguishes between the effects of relevant factors on the injury outcomes of the at-fault and not-at-fault parties. The methodological approach allows for consideration of within-crash correlation, as well as unobserved heterogeneity, and results in significantly improved fit as compared to a series of independent models with fixed parameters. While the factors affecting injury severity are found to be similar for both drivers, the magnitudes of these effects vary between the at-fault and not-at-fault drivers. The results demonstrate that ...
Source: Analytic Methods in Accident Research - Category: Occupational Health Source Type: research