Neighborhood and individual determinants of pedestrian collisions in Austin, TX
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Using a multi-method design, this study sought to examine the relationship between pedestrian collisions and population characteristics, land use, and roadway classifications in order to uncover risk factors associated with walking in Austin, TX. A combination of descriptive, linear regression, logistic regression, and spatial analysis methods were employed to gain a greater understanding of these relationships. The study population was comprised of all the pedestrian collisions in Austin, TX during the study period of 2002-2006. In general, the pedestrians involved in collisions during the study period experienced injuries at a lower rate than national pedestrian collisions figures. The elderly population of 65 and over was a strong predictor of pedestrian collisions resulting in serious injury or death. Land use emerged as one of the most important predictors of pedestrian collisions in the study area. Pedestrian collisions were positively associated with medium and high density residential, commercial, and industrial uses. Highways were also highly correlated with pedestrian fatalities and serious injuries, with 40 percent of collisions resulting in death occurred on a highway.