Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Mobile phones and driving.

Sandeep Johal1, Fiona Napier, Jenny Britt-Compton

  • 1Department of Public Health and Epidemiology, University of Birmingham, Birmingham B15 2TT, UK.

Journal of Public Health (Oxford, England)
|January 8, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Automatic forward model parameterization with Bayesian inference of conformational populations.

APL machine learning·2026
Same author

Images in paediatrics: Ironing board impalement.

BMJ case reports·2025
Same author

Model Selection Using Replica Averaging with Bayesian Inference of Conformational Populations.

Journal of chemical theory and computation·2025
Same author

Automatic Forward Model Parameterization with Bayesian Inference of Conformational Populations.

ArXiv·2024
Same author

Needs of Youth Enrolled in a Statewide System of Care: A Latent Class Analysis.

Children and youth services review·2023
Same author

Needs of Caregivers of Youth Enrolled in a Statewide System of Care: A Latent Class Analysis.

Children and youth services review·2023
Same journal

Marginalising prevention during Health Devolution in Greater Manchester? A qualitative study of the perceptions and experiences of public health professionals.

Journal of public health (Oxford, England)·2026
Same journal

Smoking prevalence in Italy from 1993 to 2024: a trend analysis framed by public health policies and emerging consumption behaviors.

Journal of public health (Oxford, England)·2026
Same journal

The exposure of adolescent girls with/without disabilities to discrimination: cross-sectional analyses of nationally representative surveys undertaken in 37 countries.

Journal of public health (Oxford, England)·2026
Same journal

Classifying healthcare facilities as predictors of COVID-19 mortality rates in US counties (2020-2021).

Journal of public health (Oxford, England)·2026
Same journal

How conditions within immigration removal centres in the United Kingdom affect the mental wellbeing of detainees: a scoping review.

Journal of public health (Oxford, England)·2026
Same journal

Double burden of malnutrition and body composition among ethnic minority children aged 5-16 years in Tra Vinh, Vietnam: a community-based study.

Journal of public health (Oxford, England)·2026
See all related articles

UK legislation significantly reduced mobile phone use while driving, from 1.85% to 0.97%. This study tracked hand-held mobile phone usage before and after the December 2003 law. The impact on accident rates remains unknown.

Area of Science:

  • Road safety research
  • Transportation policy analysis
  • Public health interventions

Background:

  • Mobile phone use while driving was prevalent before legislation.
  • Observational studies indicated approximately 2% of drivers used phones roadside.
  • Previous data highlighted a need for regulatory measures.

Purpose of the Study:

  • To assess the impact of UK legislation on hand-held mobile phone use while driving.
  • To quantify changes in mobile phone usage rates pre- and post-legislation.
  • To attribute observed changes in usage to the new law.

Main Methods:

  • Conducted observational road-side studies at three distinct sites.
  • Collected data on mobile phone usage during evening rush-hour.

Related Experiment Videos

  • Compared usage rates from 10 weeks prior to 10 weeks after December 2003 legislation.
  • Main Results:

    • Mobile phone usage decreased from 1.85% before legislation to 0.97% after.
    • A reduction of nearly 50% in hand-held mobile phone use was observed.
    • The observed decrease is directly attributed to the implemented legislation.

    Conclusions:

    • The legislation effectively reduced the incidence of hand-held mobile phone use among drivers.
    • Further research is needed to determine the legislation's effect on accident and injury rates.
    • Policy interventions can significantly alter driver behavior regarding mobile phone use.