Work-related traffic crashes remain particularly challenging to address. However, recent research and practice have shown that instilling an awareness of safety and fostering a corporate safety culture supportive of safety may prevent traffic crashes, reduce their frequency, and reduce their severity.
The TRB Behavioral Traffic Safety Cooperative Research Program’s BTSCRP Web-Only Document 3: Developing Employer-Based Behavioral Traffic Safety Programs for Drivers in the Workplace reports on a study that reviewed the research literature on employer-based behavioral traffic safety programs, gathered information on existing employer-based behavioral traffic safety programs, identified the relevant behavioral change theories and critical components of existing safety programs, and summarized and analyzed measures of safety program effectiveness.
Associated with the document is a summary of measures of effectiveness and a website, BTSCRP WebResource 1: Employer-Based Driver Safety Programs, which provides guidance for planning, implementing, and evaluating employer-based behavioral traffic safety programs.
National Academies of Sciences, Engineering, and Medicine. 2022. Developing Employer-Based Behavioral Traffic Safety Programs for Drivers in the Workplace. Washington, DC: The National Academies Press. https://doi.org/10.17226/26812.
Chapters | skim | |
---|---|---|
Front Matter | i-viii | |
Summary | 1-5 | |
Section 1: Introduction | 6-6 | |
Section 2: State-of-the-Practice Literature Review | 7-36 | |
Section 3: State-of-the-Practice Employer Interviews | 37-58 | |
Section 4: Behavioral Change Theory Application to Practice | 59-87 | |
Section 5: Measures of Employer-Based Behavioral Traffic Safety Program Effectiveness | 88-111 | |
Section 6: development of BTSCRP WebResource 1 and guide | 112-124 | |
Section 7: Conclusion | 125-126 | |
References | 127-136 | |
List of Abbreviations | 137-137 | |
Glossary of Terms | 138-140 | |
Appendix A: Methods | 141-170 | |
Appendix B: Annotated Bibliography | 171-191 |
The Chapter Skim search tool presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter. You may select key terms to highlight them within pages of each chapter.