Related Experiment Video
Updated: May 30, 2026

11:12
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
Published on: September 18, 2012
Driving exposure by driver age in Michigan
J P Ehsani1, C R Bingham, J T Shope
1University of Michigan Transportation Research Institute, USA. jpehsani@umch.edu
Journal of Safety Research
|August 23, 2011
Summary
Younger drivers have fewer miles and minutes but similar trips compared to older drivers. Employment significantly impacts driving exposure across all age groups, raising workplace safety concerns for employed teens.
Area of Science:
- Traffic safety research
- Human factors in transportation
- Sociology of driving behavior
Background:
- Compares driving exposure in high-crash-risk groups (16-17 and 18-24-year-olds) versus a low-crash-risk group (35-64-year-olds).
- Examines associations between driving exposure and demographic/behavioral variables.
Purpose of the Study:
- To compare driving exposure across different age groups.
- To identify factors associated with driving exposure in various age demographics.
Main Methods:
- Utilized state-wide survey data from 2004-2005.
- Calculated total miles, minutes, and trips driven within a 48-hour period for respondents.
Main Results:
- Youngest drivers (16-17) drove fewer miles/minutes but similar trips compared to older groups.
- Employment and high vehicle access correlated with increased driving exposure for younger drivers.
- Employment, high income, large household size, and low vehicle access correlated with increased driving exposure for older drivers.
- Driving alone and during the day was more common across all ages.
- Miles and minutes driven showed positive associations with demographic/behavioral variables, unlike trips driven.
Conclusions:
- Driving exposure is influenced by life stage, with high school students' driving patterns distinct from older groups.
- 18-24-year-olds exhibited driving patterns closer to older drivers but with retained differences.
- Greater driving exposure in older drivers may reflect significant household responsibilities.
- Findings highlight potential workplace safety issues for employed teens due to higher driving exposure and crash risk.
- Further research is recommended to develop evidence-based safety recommendations for employed teens, particularly those in driving-related jobs.
Related Concept Videos
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...
Pharmacodynamics in Geriatric Patients: Effects of Age
Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
Testing a Claim about Mean: Known Population SD
A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...

