Understanding Micromobility Safety Behavior and Standardizing Safety Metrics for Transportation System Integration

Details

• Creators:
  Cherry, Christopher ; Harmon, Katie ; Sandt, Laura ; Martin, Elliot ; Shah, Nitesh ; Wen, Yi
• Corporate Creators:
  University of Tennessee, Knoxville ; University of North Carolina at Chapel Hill ; University of California, Berkeley
• Corporate Contributors:
  Collaborative Sciences Center for Road Safety ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Crash injuries
  • Data collection
  • Mobility
  • Safety
  • Scooters
  • Surveys Micromobility
• Publication/ Report Number:
  CSCRS-R26
• Resource Type:
  Other
• Geographical Coverage:
  United States
• Edition:
  Final Report, Slide Deck, List of E-Scooter Fatalities, Micromobility Coding Poster, Micromobility Codes, Proposal for ICD-10-CM Codes Covering E-Bikes, Research Brief
• Corporate Publisher:
  Collaborative Sciences Center for Road Safety
• Abstract:
  This project focused on exploring micromobility safety data and methods to improve injury surveillance. The project was broken into four core tasks that included exploration of new big data sources, injury surveillance methods, survey research assessment, and safety data. This report is brief, providing an introduction of the work conducted in each task. The core deliverables are included as appendices. They include journal articles, infographics, websites, and electronic media. ; Micromodes.org, a resource that tracks fatalities involving micromobility devices located at https://www.micromodes.org.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/63320/dot_63320_DS1.pdf
• File Type:
  [PDF - 5.52 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:0310e93600ed69daf1dfa2db9124857fcc91e4aada29f89b6a833841597ffb1067972485234f0e7ebd287811399eb1dcddebae3de459ee04070792a55c539ae4