A Social Network Analysis of Alcohol-Impaired Drivers in Maryland: An Egocentric Approach

This study examined the personal, household, and social structural attributes of alcohol-impaired drivers in Maryland. The study used an egocentric approach of social network analysis. This approach concentrated on specific actors (alcohol-impaired drivers), called egos, and those with whom the actors interact, called alters. In sum, egos and alters were similar in many aspects of their driving, drinking behavior and background. They influenced each other mostly in positive ways. The size of social networks affected the context of drinking behavior and the number of traffic violations. Receiving citations did show some deterrent effect. Thus, there are implications for intervention programs.

  • Record URL:
  • Supplemental Notes:
    • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Morgan State University

    1700 East Cold Spring Lane
    Baltimore, MD  United States  21251

    University of Maryland, College Park

    School of Public Health
    College Park, MD  United States  20742

    Maryland State Highway Administration

    Office of Policy and Research, 707 North Calvert Street
    Baltimore, MD  United States  21202

    National Transportation Center

    Morgan State University, 1700 E Cold Spring Lane
    Baltimore, MD  United States  21251

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Ahmed, Ashraf
    • Farkas, Andrew
    • Beck, Kenneth H
  • Publication Date: 2011-4

Language

  • English

Media Info

  • Media Type: Print
  • Edition: Final Report
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 65p

Subject/Index Terms

Filing Info

  • Accession Number: 01340895
  • Record Type: Publication
  • Report/Paper Numbers: MD-11-SP808B4E
  • Contract Numbers: SP808B4E
  • Files: UTC, NTL, TRIS, USDOT, STATEDOT
  • Created Date: May 26 2011 8:55AM