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 Concept Videos

Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
Torts I01:14

Torts I

Torts in nursing are wrongful acts that can harm patients and potentially lead to civil liability for the involved nurse. These wrongful acts range from unintentional errors to deliberate actions. Depending on the nature and severity of the tort, a nurse found liable may face financial penalties or disciplinary actions. Understanding the distinctions between intentional, quasi-intentional, and unintentional torts is crucial for nurses to mitigate risks and provide safe patient care.
Intentional...
Contaminants and Errors01:16

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
Errors and Mistakes in Surveying01:19

Errors and Mistakes in Surveying

Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of attention,...

You might also read

Related Articles

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

Sort by
Same author

An open, fully-processed data resource for studying mood and sleep variability in the developing brain.

Aperture neuro·2026
Same author

The PMADS Project: A Longitudinal Multimodal Cohort Study to Understand Risk for Perinatal Mood and Anxiety Disorders.

bioRxiv : the preprint server for biology·2026
Same author

Impaired intrinsic motivation in psychosis risk relates to ventral striatum activation to self-generated reinforcement signals.

Schizophrenia research·2026
Same author

Identifying Priority Research Questions for Decentralized Wastewater.

Environmental science & technology·2025
Same author

An Open, Fully-processed, Longitudinal Data Resource to Study Brain Development and Transdiagnostic Executive Function.

bioRxiv : the preprint server for biology·2025
Same author

Quantification of Tryptophan and NAD<sup>+</sup> Proton Magnetization Exchange With Water Using Downfield <sup>1</sup>H MRS in the Human Brain at 7 T.

Magnetic resonance in medicine·2025

Related Experiment Video

Updated: Jul 19, 2026

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact
07:30

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

Errors and violations in relation to motorcyclists' crash risk.

Mark A Elliott1, Christopher J Baughan, Barry F Sexton

  • 1Department of Psychology, University of Strathclyde, United Kingdom. melliott@TRL.co.uk <melliott@TRL.co.uk>

Accident; Analysis and Prevention
|October 13, 2006
PubMed
Summary

Motorcyclist behavior significantly impacts crash risk. Traffic errors are the primary predictor, with control errors and speeding also contributing, informing safety countermeasures.

More Related Videos

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

Related Experiment Videos

Last Updated: Jul 19, 2026

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact
07:30

A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact

Published on: September 21, 2017

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

Area of Science:

  • Road safety
  • Motorcycle behavior analysis
  • Risk assessment

Background:

  • Motorcycle accidents pose a significant public health concern.
  • Understanding rider behavior is crucial for developing effective safety interventions.

Purpose of the Study:

  • To develop a reliable Motorcycle Rider Behaviour Questionnaire (MRBQ).
  • To identify specific rider behaviors that predict motorcycle crash risk.

Main Methods:

  • Developed and administered a 43-item MRBQ to 8666 motorcyclists.
  • Utilized principal components analysis for factor identification.
  • Employed generalized linear modeling to analyze crash risk predictors.

Main Results:

  • A 5-factor solution emerged: traffic errors, control errors, speed violations, stunts, and safety equipment use.
  • Traffic errors were the main predictors of crash risk, independent of age, experience, and mileage.
  • Control errors and speed violations also predicted crash risk when riders accepted blame.

Conclusions:

  • Traffic errors represent a key target for motorcycle safety countermeasures.
  • Addressing control errors and speeding behaviors may further reduce crash incidents.
  • Findings inform evidence-based strategies for lowering motorcycle casualty rates.