Comprehensive analysis of vehicle-pedestrian crashes at intersections in Florida.
This study analyzes vehicle-pedestrian crashes at intersections in Florida over 4 years, 1999-2002. The study identifies the group of drivers and pedestrians, and traffic and environmental characteristics that are correlated with high pedestrian crashes using log-linear models. The study also estimates the likelihood of pedestrian injury severity when pedestrians are involved in crashes using an ordered probit model. To better reflect pedestrian crash risk, a logical measure of exposure is developed using the information on individual walking trips in the household travel survey. Lastly, the impact of average traffic volume on pedestrian crashes is examined. As a result of the analysis, it was found that pedestrian and driver demographic factors, and road geometric, traffic and environment conditions are closely related to the frequency and injury severity of pedestrian crashes. Higher average traffic volume at intersections increases the number of pedestrian crashes; however, the rate of increase is steeper at lower values of average traffic volume. Based on the findings in the analysis, some countermeasures are recommended to improve pedestrian safety.
Lee
Chris
C
Department of Civil and Environmental Engineering, University of Central Florida, Orlando, FL 32816, USA.
Abdel-Aty
Mohamed
M
D000063:Accidents, Traffic / Q000145:classification / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D001334:Automobile Driving / Q000706:statistics & numerical data; D015984:Causality; D002648:Child; D002675:Child, Preschool; D005260:Female; D005431:Florida / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D015601:Injury Severity Score; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment; D012307:Risk Factors; D012309:Risk-Taking; D017678:Sex Distribution; D019966:Substance-Related Disorders / Q000453:epidemiology; D016138:Walking / Q000706:statistics & numerical data*; D014947:Wounds and Injuries / Q000145:classification / Q000453:epidemiology*