M.Q. Le, S.R. Geedipally, K.M. Fitzpatrick, N.A. Johnson, R.E. Avelar Moran
This analysis provides the Dallas District with a foundational understanding of the demographics, geographic areas, roadway facilities, and causal and risk factors associated with its pedestrian crashes. Through data mining and direct demand modeling, researchers were able to estimate pedestrian exposure and ultimately identify freeway and non-freeway hot spots. The non-freeway hot spots were derived by using a comprehensive examination that identified high-risk intersections by their control type (signals or stops).
Finally, future research is recommended to test the transferability of the pedestrian volume model and the safety performance functions developed in this project to other urban areas such as Fort Worth, Houston, San Antonio, and Austin.
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