Kim et al. (1994) attempted to explain the relationship
between types of crashes and injuries sustained in
motor vehicle accidents. By using techniques of categorical
data analysis and comprehensive data on
crashes in Hawaii during 1990, a model was built to
relate the type of crash (e.g. rollover, head-on,
sideswipe, rear-end, etc.) to a KABCO injury scale.
They also developed an ‘odds multiplier’ that enabled
comparison according to crash type of the odds of
particular levels of injury relative to noninjury. The
effects of seatbelt use on injury level were also examined,
and interactions among belt use, crash type, and
injury level were considered. They discussed how loglinear
analysis, logit modeling, and estimation of ‘odds
multipliers’ may contribute to traffic safety research.