Examination of factors associated with fault status and injury severity in intersection-related rear-end crashes: Application of binary and bivariate ordered probit models

Keyphrases

• Injury Severity 100%
• Rear-end Collision 100%
• Bivariate Ordered Probit Model 100%
• Fault Status 100%
• Crash 50%
• Severe Injury 33%
• Crash Type 33%
• At-fault 33%
• At-fault Drivers 33%
• Southwestern US 16%
• Bivariate 16%
• US States 16%
• Vehicle Type 16%
• Severity Model 16%
• Injury Outcomes 16%
• Driver Distraction 16%
• Driver Injury Severity 16%
• Leading Vehicle 16%
• Driver Age 16%
• Crash Occurrence 16%
• Binary Probit Model 16%
• Driver Impairment 16%
• Status Model 16%

Social Sciences

• USA 100%
• Factor Analysis 50%
• Injury Outcome 50%

Psychology

• Factor Analysis 100%