Elevating Traffic Safety in Native American Communities: A Comprehensive Approach with Online Mapping and Crowdsourcing Solutions

Details

• Creators:
  Zhang, Su ; Eshelman, Tyler A. ; Sinclair, Lisa L. ; Girlamo, Chris ; Crozier, Eric J ; Ferenchak, Nicholas N.
• Corporate Creators:
  Center for Pedestrian and Bicyclist Safety (CPBS) Tier-1 University Transportation Center (UTC) ; University of New Mexico
• 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:
  • Crash data
  • Crowdsourcing
  • Data analysis
  • Mapping
  • Native Americans
  • Spatial analysis
  • Training
  • Traffic safety
  • Web applications
• Publication/ Report Number:
  24UNM04
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Research Report – June 1, 2024 to May 31, 2025
• Corporate Publisher:
  Center for Pedestrian and Bicyclist Safety (CPBS) Tier-1 University Transportation Center (UTC)
• Abstract:
  This research introduces a web-based crash reporting and analysis tool designed to address traffic safety disparities in New Mexico, particularly within Native American communities. Grounded in Community-Based Participatory Research (CBPR) and Volunteered Geographic Information (VGI), the platform enables local residents to report traffic collisions through an interactive map interface, supplementing under-reported official datasets. To enhance data integrity, the system includes user authentication, IP-based geolocation, and a quality control workflow for reviewing submissions. Gamification elements such as leaderboards promote ongoing engagement, while integrated web analytics track user activity and tool usage. By empowering communities to participate directly in data collection and visualization, this tool supports more equitable infrastructure planning and offers a scalable model for improving traffic safety through localized, community-informed data.
• Format:
  PDF
• Funding:
  69A3552348336
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86787/dot_86787_DS1.pdf
• File Type:
  [PDF - 1.50 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:7fd1204b45cd9916da0c68bd193b6f1ae27b7ba69a0e8e3d50a229bb44ef97d398090d58c91e73df76c441dc0bdc9085ae9757428b33308af2a854cb8a8bc777