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- W86860612 abstract "Young drivers experience a higher percentage of single-vehicle, run-off-the-road (ROR) crashes compared to other drivers. This study develops the models to identify the influential factors in injury severity for young drivers involved in ROR crashes. Logistic regression was identified as the most suitable approach since the outcome of the models, crash severity, is of discrete nature. A set of sequential binary logistic regression models was developed to identify the influential factors. The intention was to predict the crash severity outcome of single vehicle ROR crashes involving young drivers. The developed models were validated and the accuracy was tested using a set of crash data that were not used in the model development. Results were found to be satisfactory. Factors influential in making a crash severity difference to young drivers involved in ROR were then identified through the models. Findings showed that use of drugs or alcohol, gender, ejection in the crash, point of impact, urban/rural nature of crash location, restraint device usage, existence of curve or grade, and speed of vehicle were significant factors in ROR crash severity. Variables such as weather condition, residence location and physical condition were not found to be significant." @default.
- W86860612 created "2016-06-24" @default.
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- W86860612 date "2003-01-01" @default.
- W86860612 modified "2023-09-26" @default.
- W86860612 title "YOUNG DRIVERS AND RUN-OFF-THE-ROAD CRASHES" @default.
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