A Challenge to the Assumed Generalizability of Prediction and Countermeasure for Risky Driving: Different Factors Predict Different Risky Driving Behaviors

In road safety, it may be debated whether all risky behaviors are sufficiently similar to be explained by similar factors. The often assumed generalizability of the factors that influence risky driving behaviors has been inadequately tested. Study 1 (N = 116) examined the role of demographic, personality and attitudinal factors in the prediction of a range of risky driving behaviors, for young drivers. Results illustrated that different driving behaviors were predicted by different factors (e.g., speeding was predicted by authority-rebellion, while drink driving was predicted by sensation seeking and optimism bias). Study 2 (N = 127) examined the generalizability of these results to the general driving population. Study 1 results did not generalize. Predictive factors remained behavior-specific, but different predictor-behavior relationships were observed in the community sample. Overall, results suggest that future research and practice should focus on a multi-factor framework for specific risky driving behaviors, rather than assuming generalizability across behaviors and driving populations.

• Record URL:
  • http://www.sciencedirect.com/science/article/B6V6F-4MYFG50-2/2/0bd196fe1aa2b86dc99cc4c0c57e3676
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1800052
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Fernandes, Ralston
  • Job, R F Soames
  • Hatfield, Julie
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: References; Tables;
• Pagination: pp 59-70
• Serial:
  • Journal of Safety Research
  • Volume: 38
  • Issue Number: 1
  • Publisher: Elsevier
  • ISSN: 0022-4375
  • Serial URL: http://www.sciencedirect.com/science/journal/00224375

Subject/Index Terms

• TRT Terms: Attitudes; Behavior; Demographics; Drivers; Driving; Highway safety; Mathematical prediction; Personality; Risk taking; Traffic safety
• Uncontrolled Terms: Generalizability
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Society; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01044752
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Mar 30 2007 6:59AM