Building Equitable Safe Streets for All: Data-Driven Approach and Computational Tools

Details

• Creators:
  Dadashova, Bahar ; Ye, Xinyue ; Brown, Charles ; Zhu, Chunwu ; Sohrabi, Soheil ; Potts, Ingrid B.
• Corporate Creators:
  Texas A&M Transportation Institute ; Safety through Disruption (Safe-D) University Transportation Center (UTC)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Highway safety
  • Plan implementation
  • Transportation planning
  • Data analysis
  • Data collection
• Publication/ Report Number:
  06-001
• Resource Type:
  Tech Report
• Geographical Coverage:
  Houston (Texas);United States
• Edition:
  Final Report
• Corporate Publisher:
  Safety through Disruption (Safe-D) University Transportation Center (UTC)
• Abstract:
  Roadway safety in low-income and ethnically diverse U.S. communities has long been a major concern. This research was designed to address this issue by developing a data-driven approach and computational tools to quantify equity issues in roadway safety. This report employed data from Houston, Texas, to explore (1) the relationship between road infrastructure and communities’ socioeconomic and demographic characteristics and its association with traffic safety in low-income, ethnically diverse communities and (2) the type of driver behaviors and characteristics that affect crash risks in underserved communities.
• Format:
  PDF
• Funding:
  69A3551747115/06-001
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/73245/dot_73245_DS1.pdf
• File Type:
  [PDF - 1.82 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:e54895b04f3d5e6da0ef49525968ab9a0cfc849f81ed3a5bb0f3218b625b72487e64bbcb5503047280788ff7e64ef9edce8d6fe46f5340424ef6cba047ffcadf