Citation

Kim K, Nitz L, Richardson J, Li L. Transp. Res. Rec. 1994; 1467: 9-13.

Copyright

(Copyright © 1994, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

A statistical model was developed 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. An "odds multiplier" was developed that enabled comparison according to crash type of the odds of particular levels of injury relative to noninjury. The effects of seat belt use on injury level also were examined, and interactions among belt use, crash type, and injury level were considered. Differences between crash types and the effectiveness of seat belts are discussed along with how log-linear analysis, logit modeling, and estimation of "odds multipliers" may contribute to traffic safety research. Some implications of the findings for appropriate interventions and future research are presented in a concluding section.

Language: en