Modernization of the Driver Behaviour Questionnaire
| Autor: | Rachel W. Jones Ross, Sheila T.D. Cordazzo, Charles T. Scialfa |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Adult
Male Engineering Automobile Driving Psychometrics Applied psychology Individuality Poison control Human Factors and Ergonomics Sample (statistics) Computer security computer.software_genre Young Adult Risk-Taking Sex Factors Distraction Surveys and Questionnaires 0502 economics and business Humans 0501 psychology and cognitive sciences Attention Safety Risk Reliability and Quality 050107 human factors Aged Aged 80 and over 050210 logistics & transportation business.industry 05 social sciences Public Health Environmental and Occupational Health Accidents Traffic Age Factors Human factors and ergonomics Reproducibility of Results Regression analysis Middle Aged Exploratory factor analysis Aggression Aggressive driving Regression Analysis Female business computer |
| Zdroj: | Accident; analysis and prevention. 87 |
| ISSN: | 1879-2057 |
| Popis: | INTRODUCTION: The current study builds on previous versions of the Driver Behaviour Questionnaire (DBQ) by incorporating a larger sample of driving behaviors targeting inattention, distraction, aggressive driving, and health related to aging. The goals of this study were to determine if the resulting factor structure was consistent with a more contemporary view of unsafe driving behaviors, and to determine whether scores on the factors could predict self-reported collisions and police citations. METHODS: The instrument was given to a sample of 3295 drivers ranging in age from 19 to 80+ years old. It was divided in two sections, the first to provide demographic information and driving history data and the second containing 105 driver behavior questions. RESULTS: An exploratory factor analysis resulted in a 65-item scale organized in four factors. The factors were labeled tentatively as Inattention Errors, Age-Related Problems, Distraction and Hurry, and Aggressive Violations. Regression analyses showed that the factors were predictors of self-reported, at-fault collisions and police citations. PRACTICAL IMPLICATIONS: The factor scores found in this research are consistent with a useful theoretical framework for understanding unsafe driver actions, and demonstrate some potential to identify several individual difference variables that predict self-reported collisions and citations. Keywords: Driver distraction; Language: en |
| Databáze: | OpenAIRE |
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