Community Design and Transportation Safety
The goal of this study was to assess how street network characteristics affect road safety. Using a spatial geographic information system (GIS) analysis together with a novel approach to classifying street network patterns, the research showed that both street network and street characteristics are significantly correlated with road safety outcomes. The basis for this analysis was over 230,000 individual crash records geo-coded in a GIS database in over 1000 census Block Groups in 24 California cities. In conducting this study, the authors controlled for variables such as street patterns, vehicle volumes, activity levels, income levels, and proximity to limited access highways and to the downtown area.
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- Record URL:
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Supplemental Notes:
- This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
University of Connecticut, Storrs
Center for Transportation and Urban Planning, 261 Glenbrook Road
Storrs, CT United States 06269-2037New England University Transportation Center
Massachusetts Institute of Technology
77 Massachusetts Avenue, Room 40-279
Cambridge, MA United States 01239Research and Innovative Technology Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Garrick, Norman
- Publication Date: 2011-3-6
Language
- English
Media Info
- Media Type: Web
- Edition: Final Report
- Pagination: 3p
Subject/Index Terms
- TRT Terms: Cities; Communities; Crash records; Geographic information systems; Highway safety; Streets; Traffic volume
- Uncontrolled Terms: Activity levels; Street patterns
- Geographic Terms: California
- Subject Areas: Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure;
Filing Info
- Accession Number: 01337359
- Record Type: Publication
- Report/Paper Numbers: Project Number UCNR20-8
- Files: UTC, NTL, TRIS, USDOT
- Created Date: Apr 20 2011 8:20AM