ABSTRACT
This study suggests strategies for the built environment to enhance pedestrian safety in the central business district (CBD) in Austin, Texas. This study examines how the built environment in CBD affects the frequency of pedestrian-vehicle crashes and pedestrian injury severity by employing negative binomial regression and logistic regression models, respectively. The findings reveal that, in the CBD areas, certain types of land use and intersections increased the probability of pedestrian crash incidence. Interestingly, parking and mixed land-use parcels had a statistically significant association with a pedestrian crash incidence in the CBD, while they were not statistically significant in the non-CBD areas. Further, this study finds that sidewalk coverage reduced pedestrian injury severity in the CBD and non-CBD areas. Based on the results, this study suggests planners consider developing more targeted strategies for the pedestrianization of CBDs.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Notes
1. This study conducted the micro-level analysis using 100-meter, 200-meter, and 400-meter buffers to evaluate the sensitivity of the model results. Based on the AIC and BIC test results, this study confirmed that the model using 100-meter buffers had the most appropriate model fit.
Additional information
Notes on contributors
Jinuk Hwang
Jinuk Hwang is an Associate Research Fellow in the National Infrastructure Research Division at the Korea Research Institute for Human Settlements (KRIHS).