An Empirical Assessment of the Role of Attitudes and Identification in Safety Research

Research in highway safety has struggled to deal adequately with two issues: the role that attitudes may play on risk perception and resulting crash and injury-severity likelihoods; and the issue of identification in safety modeling caused by self-selective sampling of safety data (the fact that riskier drivers are likely to be over-represented in crash data bases). This study addresses these two points by first collecting data that focused on highway safety perceptions and using observed crash data from the state of Florida. Statistical model estimation results that address the question of how vehicle usage has changed post-pandemic indicate that safer drivers have reduced their vehicle usage significantly more than riskier drivers. With a greater proportion of vehicle miles travelled now being riskier drivers, this has likely resulted in fundamental shift in injury severity probabilities in observed crashes, which is confirmed using Florida crash data from 2019 (pre-pandemic) and 2020 (pandemic) where a statistically significant shift was found in the factors that determined injury severities in highway the two years. The results indicate that the role of safety attitudes and perceptions are important considerations in the analysis of highway crash data and must be considered in highway-safety practice. The results also indicate the need to focus attention on identification in highway-safety practice because observed statistical estimates may not be entirely due to the effect of specific explanatory variables but may be in part due the change in the mix of risky and safe drivers, a possibility that has important policy implications.

Language

• English

Project

• Status: Completed
• Funding: $111574
• Contract Numbers:

  69A3551747116

• 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:

  Center for Teaching Old Models New Tricks (TOMNET)

  Arizona State University
  Tempe, AZ  United States  85287
• Project Managers:

  Pendyala, Ram

• Performing Organizations:

  University of South Florida, Tampa

  3650 Spectrum Boulevard, Suite 160
  Tampa, FL  United States  33612
• Principal Investigators:

  Mannering, Fred

  Maness, Michael

• Start Date: 20210901
• Expected Completion Date: 20220831
• Actual Completion Date: 20220621
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Attitudes; Crash data; Data analysis; Highway safety; Research; Risk taking
• Subject Areas: Data and Information Technology; Highways; Research; Safety and Human Factors; Society;

Filing Info

• Accession Number: 01848886
• Record Type: Research project
• Source Agency: Center for Teaching Old Models New Tricks (TOMNET)
• Contract Numbers: 69A3551747116
• Files: UTC, RIP
• Created Date: Jun 21 2022 9:21AM