219
Views
0
CrossRef citations to date
0
Altmetric
Invited Contribution

Improving Fitness to Drive: The Case for Hazard Perception Training

Pages 173-181 | Received 14 May 2016, Accepted 13 Apr 2015, Published online: 12 Nov 2020
 

Abstract

On one hand, individuals who are unfit to drive should not be allowed behind the wheel. On the other hand, being unable to drive can have significant negative consequences for some individuals, including an increased mortality risk. One potential solution to this dilemma is to use training interventions to improve fitness‐to‐drive. The problem is that, in general, post‐licensing driver training and education has a disappointing track record in terms of improving road safety. However, one type of intervention that may have the potential to buck this trend is hazard perception training. Hazard perception, which is the driver's ability to anticipate dangerous situations on the road ahead, has been found to predict both crash risk and on‐road driving performance, and can account for variance in both of these criteria that other key fitness‐to‐drive measures cannot. Crucially, there is evidence that hazard perception competence can be improved by brief computer‐based interventions, even for driver groups who are more likely to face fitness‐to‐drive challenges, such as individuals aged over 65 years or adults with attention deficit hyperactivity disorder. This article puts the case for potentially using such interventions to help individuals with fitness‐to‐drive difficulties.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 140.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.