Causal Analysis of Grade Crossing Accidents

Currently, accident reporting systems tell what has happened, but they do not know why the accident occurred. Emphasis will be placed on identifying human factors (e.g., crossing characteristics that promote poor motorist decision-making) and system issues (e.g., ambiguities in jurisdiction that impede the correction of problems) that contribute to accidents. This project's primary goal is to identify areas for future research. It will use Moray's Sociotechnical model and Reason's analytic framework to guide the work.

  • Supplemental Notes:
    • Program Information: Human Factors


  • English


  • Status: Active
  • Funding: $1200000.00
  • Sponsor Organizations:

    Federal Railroad Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Raslear, Tom

  • Performing Organizations:

    Volpe National Transportation Systems Center

    Cambridge, MA  United States  02142
  • Start Date: 20120510
  • Expected Completion Date: 0
  • Actual Completion Date: 0
  • Source Data: RiP Project 30753

Subject/Index Terms

Filing Info

  • Accession Number: 01465237
  • Record Type: Research project
  • Source Agency: Department of Transportation
  • Files: RIP, USDOT
  • Created Date: Jan 3 2013 2:57PM