ELIZABETH SHEPPARD ELIZABETH.SHEPPARD@NOTTINGHAM.AC.UK
Assistant Professor
Policy Brief: Autism and Driving
Sheppard, Elizabeth
Authors
Abstract
More than one in 100 people in the UK are autistic. Despite the prevalence of autism within society, autistic people face barriers in their everyday lives. One example of this is with learning to drive.
Research shows that autistic people are less likely to hold a driving licence than non-autistic people, and they are more likely to have begun learning to drive and then stopped. However, newly qualified
autistic drivers have a slightly lower overall crash risk than non-autistic drivers so autistic people should be able to learn to drive.
Currently, driving lessons and tests are not sufficiently adapted for autistic people. Also, driving instructors do not know enough about autism to support autistic people when learning to drive. By adapting the driving and test processes, and educating instructors about autism, we can increase the number of autistic people with driving licences. This will improve the quality of life for autistic people.
Citation
Sheppard, E. (2024). Policy Brief: Autism and Driving. University of Nottingham
Report Type | Policy Document |
---|---|
Online Publication Date | Jun 17, 2024 |
Publication Date | Jun 17, 2024 |
Deposit Date | Jun 13, 2024 |
Publicly Available Date | Jun 18, 2024 |
Public URL | https://nottingham-repository.worktribe.com/output/36012054 |
Files
AutismAndDriving FinalPolicyBrief
(1.5 Mb)
PDF
You might also like
How easy is it to read the minds of people with autism spectrum disorder
(2015)
Journal Article
Using other minds as a window onto the world: guessing what happened from clues in behaviour
(2014)
Journal Article
Being Sherlock Holmes: Can we sense empathy from a brief sample of behaviour?
(2015)
Journal Article
Difficulties predicting time-to-arrival in individuals with autism spectrum disorders
(2016)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search