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

Zhang, Su; Eshelman, Tyler A.; Sinclair, Lisa L.; Girlamo, Chris; Crozier, Eric J; Ferenchak, Nicholas N.

i

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

2025-06-01
By Zhang, Su ; Eshelman, Tyler A. ; Sinclair, Lisa L. ; ...

File Language:

English

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 Traffic Safety Training 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
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:7fd1204b45cd9916da0c68bd193b6f1ae27b7ba69a0e8e3d50a229bb44ef97d398090d58c91e73df76c441dc0bdc9085ae9757428b33308af2a854cb8a8bc777
Download URL:

https://rosap.ntl.bts.gov/view/dot/86787/dot_86787_DS1.pdf
File Type:

[PDF - 1.50 MB ]

File Language:

English

ON THIS PAGE

Details

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.