Social Network Effects on Attitudes about Pedestrian Street Crossing Behavior

The effectiveness of interventions to improve pedestrian safety, whether involving engineering, education, or enforcement, is limited by the behavior of the public in response to the interventions. It is not difficult to imagine that the behavioral response of an individual to engineering and educational road safety interventions may be at least partially explained by demographic characteristics. It is also plausible that membership and interactions in a social group influences an individual's behavior and attitudes about road safety and response to such interventions. This project will employ a mixed survey framework of in-person gatherings and online respondent driven sampling surveys to explore how demographics, pedestrian safety education and social group membership and interaction explain an individual's behavior and attitudes related to crossing a signalized intersection as a pedestrian in different physical and travel settings. The small size in-person samples will be combined with "big data" respondent driven online samples to avoid bias in the sampling frame and most efficiently glean information from both samples. Multinomial logit modeling will be applied to the mixed sample to predict stated pedestrian behavior observed in both samples. The results will shed light on pedestrian attitudes about traffic signal design and operation as well as identify how to most effectively improve pedestrian safety through education and social group interaction.

  • Record URL:
  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.


  • English


  • Status: Active
  • Funding: $358050.00
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Start Date: 20131001
  • Expected Completion Date: 0
  • Actual Completion Date: 20180930
  • Source Data: RiP Project 39341

Subject/Index Terms

Filing Info

  • Accession Number: 01557839
  • Record Type: Research project
  • Source Agency: New England University Transportation Center
  • Contract Numbers: DTRT13-G-UTC31, UCNR25-33
  • Files: UTC, RiP
  • Created Date: Mar 26 2015 1:01AM