Sources and Mitigation of Bias in Big Data for Transportation Safety

High quality data for transportation safety planning has been expensive and slow to obtain. Recently, new big data sources allow more detailed analysis of vehicle, transit, bicycle, and pedestrian trips than ever before. However, big data generally represents transactions rather than trips--inherently including a range of biases related to representation. Big data sources offer both prospect and problems for transportation planning, regarding how well they reflect the broad population of transportation system users, or individual markets subject to digital divide and other biases of representation. Research has identified far-reaching bias issues in big data sources, but this study will focus on those with an impact to planning for transportation safety. Using a synthetic literature review, and interviews with expert practitioners, Results suggest implications for transportation safety research and practice to identify and mitigate bias in big data.


  • English


  • Status: Active
  • Funding: $21794
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Safety through Disruption University Transportation Center

    Virginia Tech Transportation Institute
    Blacksburg, VA  United States  24060
  • Performing Organizations:

    Texas A&M Transportation Institute

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Griffin, Greg

  • Start Date: 20170801
  • Expected Completion Date: 20180531
  • Actual Completion Date: 20181101
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01637954
  • Record Type: Research project
  • Source Agency: Safety through Disruption University Transportation Center
  • Contract Numbers: 69A3551747115
  • Files: UTC, RiP
  • Created Date: Jun 14 2017 1:56PM