Effectiveness of State Law Enforcement Liaison (LEL) Programs

States use a variety of Law Enforcement Liaison (LEL) network models. This project will conduct an online survey of State LEL programs to identify program characteristics, costs, and State-recommended program practices. Optional tasks include possible case studies of LEL programs and a possible cost-effectiveness analysis of State LEL programs. The goal of this project is to improve the National Highway Traffic Safety Administration (NHTSA) understanding of LEL programs in the United States and to evaluate the programmatic and cost effectiveness of existing LEL program approaches. Study outcomes are intended to inform funding agencies and LEL programs about what is required to maintain maximum LEL program effectiveness.

  • Supplemental Notes:
    • This study is being conducted under the National Cooperative Research and Evaluation Program, which is administered by the National Highway Traffic Safety Administration (NHTSA) and jointly managed by NHTSA and the Governors Highway Safety Association.


  • English


  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    National Highway Traffic Safety Administration

    1200 New Jersey Avenue, SE
    Washington, D.C.  United States  20590

    Governors Highway Safety Association

    444 N. Capitol Street, NW, Suite 722
    Washington, DC  United States  20001
  • Project Managers:

    Atkins, Randolph

  • Performing Organizations:

    TransAnalytics, LLC

    336 West Broad Street
    Quakertown, PA  United States  18951
  • Principal Investigators:

    Atkins, Randolph

  • Start Date: 20160830
  • Expected Completion Date: 20190930
  • Actual Completion Date: 0
  • USDOT Program: Behavioral Safety Research
  • Subprogram: Law Enforcement
  • Subprogram: NCREP

Subject/Index Terms

Filing Info

  • Accession Number: 01629736
  • Record Type: Research project
  • Source Agency: National Highway Traffic Safety Administration
  • Contract Numbers: DTNH2216D00016-0001
  • Files: RiP, USDOT
  • Created Date: Mar 23 2017 1:44PM