Urban Transportation Infrastructure and Cyclist and Pedestrian Safety [supporting dataset]
Abstract of the final report is stated below for reference: The goal of this project was to perform a comprehensive evaluation of crash causes and risk factors to identify the root causes of crashes involving bicyclists and pedestrians in San Antonio, Texas. The research included the development of a database of bicycle and pedestrian crash reports in the target area, calculation of crash counts and rates, identifying road segments and intersections with highly concentrated bicycle and pedestrian crashes, and the development of effective safety countermeasures. Several variables and factors were analyzed, including driver characteristics such as age and gender, road-related factors, and environmental factors such as weather conditions and time of the day. Bivariate analysis and logistic regression were used to identify the most significant predictors of severe pedestrian/bicyclist crashes. Geospatial analysis was used to investigate crash frequency and severity. High-risk locations were identified through heat maps and hotspot analysis. The downtown area had the highest crash density, but crash severity hotspots were identified outside of the downtown area. The strongest predictors of severe injury include lighting condition, road class, road speed limit, traffic control, collision type, and the age and gender of the pedestrian/bicyclist. Fatal and incapacitating injury risk increased substantially when the pedestrian/bicyclist was at fault. Resource allocation to high-risk locations, a reduction in the speed limit, an upgrade of the lighting facilities in high pedestrian activity areas, educational campaigns for targeted audiences, the implementation of more crosswalks, pedestrian refuge islands, and raised medians, and the use of leading pedestrian/bicyclist interval and hybrid beacons are recommended.
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Supplemental Notes:
- The dataset supports report: Urban Transportation Infrastructure and Cyclist and Pedestrian Safety, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
Transportation Consortium of South-Central States (Tran-SET)
Louisiana State University
Baton Rouge, LA United States 70803Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Authors:
- Sharif, Hatim
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0000-0001-9805-8080
- Dessouky, Samer
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0000-0002-6799-6805
- Publication Date: 2021-10-1
Language
- English
Media Info
- Media Type: Dataset
- Dataset: Version: 1.0 Integrity Hash: md5:395a6e565748de114300e52f98e9018b
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Dataset publisher:
Zenodo
,LSU Digital Commons
,PlumX Metrics
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Subject/Index Terms
- TRT Terms: Bicycle crashes; Data files; Pedestrian vehicle crashes; Risk assessment; Traffic safety; Urban areas
- Geographic Terms: San Antonio (Texas)
- Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors;
Filing Info
- Accession Number: 01845484
- Record Type: Publication
- Contract Numbers: 69A3551747106
- Files: UTC, NTL, TRIS, ATRI, USDOT
- Created Date: May 17 2022 10:47AM