Driver behaviour profiles for road safety analysis
•Driver behaviour profiles (DBP) are composite measures of the risk of a casualty crash.•DBPs are introduced here as an approach for evaluating driver behaviour•The road environment is the strongest predictor of driving behaviour after controlling for constraining effects.•Different spatiotemporal e...
Gespeichert in:
Veröffentlicht in: | Accident analysis and prevention 2015-03, Vol.76, p.118-132 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | •Driver behaviour profiles (DBP) are composite measures of the risk of a casualty crash.•DBPs are introduced here as an approach for evaluating driver behaviour•The road environment is the strongest predictor of driving behaviour after controlling for constraining effects.•Different spatiotemporal environments elicit a variety of psychological responses in drivers.•This approach enables controlling for many sources of confounding effects improving before-and-after studies.
Driver behaviour is a contributing factor in over 90 percent of road crashes. As a consequence, there is significant benefit in identifying drivers who engage in unsafe driving practices. Driver behaviour profiles (DBPs) are introduced here as an approach for evaluating driver behaviour as a function of the risk of a casualty crash. They employ data collected using global positioning system (GPS) devices, supplemented with spatiotemporal information. These profiles are comprised of common risk scores that can be used to compare drivers between each other and across time and space. The paper details the development of these DBPs and demonstrates their use as an input into modelling the factors that influence driver behaviour. The results show that even having controlled for the influence of the road environment, these factors remain the strongest predictors of driver behaviour suggesting different spatiotemporal environments elicit a variety of psychological responses in drivers. The approach and outcomes will be of interest to insurance companies in enhancing the risk-profiling of drivers with on-road driving and government through assessing the impacts of behaviour-change interventions. |
---|---|
ISSN: | 0001-4575 1879-2057 |
DOI: | 10.1016/j.aap.2015.01.009 |