Related Experiment Video
Updated: Jul 22, 2026

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
Published on: June 9, 2020
A bivariate probit analysis of child passenger's sitting behaviour and restraint use in motor vehicle
Eric N Aidoo1, Williams Ackaah2, Simon K Appiah1
1Department of Mathematics, Kwame Nkrumah University of Science and Technology, Ghana.
Insights
Preventing child deaths from car crashes requires proper restraint use and appropriate seating. This study in Ghana found that child passenger sitting position and restraint use are interconnected, influenced by factors like vehicle type and driver behavior.
Area of Science:
- Public Health
- Transportation Safety
- Pediatric Injury Prevention
Background:
- Motor vehicle injuries are a major global cause of child mortality.
- Appropriate restraint systems (car seats, booster seats, seat belts) and seating positions significantly reduce child passenger injuries and fatalities.
- Understanding factors influencing child passenger behavior is crucial for developing effective safety interventions.
Purpose of the Study:
- To investigate child passenger sitting behavior and restraint use in Kumasi, Ghana.
- To identify factors influencing child passengers' seating position and restraint usage.
- To explore the interrelationship between sitting position and restraint use.
Main Methods:
- Cross-sectional observational surveys were conducted with child passengers.
- A bivariate probit model was employed to simultaneously analyze factors affecting sitting behavior and restraint use.
- Data collected included vehicle type, driver demographics, passenger details, and time of observation.
Main Results:
- 26% of child passengers were observed in the front seat.
- The prevalence of restraint use among child passengers was low at 4.5%.
- Vehicle type, driver's gender, driver's seat belt use, child's age, and presence of other passengers significantly influenced both sitting position and restraint use.
Conclusions:
- A significant interrelationship exists between child passenger sitting position and restraint use.
- Factors such as time of day and day of the week influenced sitting behavior but not restraint use.
- Findings underscore the need for targeted policies and interventions to promote safer seating positions and increase restraint use among child passengers in Ghana.
Abstract:
Motor vehicle injuries are a leading cause of death among children worldwide, though many of these deaths are preventable. Buckling young children in age- and size-appropriate car seats, booster seats, or seat belts and also seating them in appropriate position can lead to a significant reduction of serious and fatal injuries. This study investigated sitting behaviour and restraint use among child passengers through cross-sectional observational surveys conducted in Kumasi, Ghana. A bivariate probit model was developed for simultaneous determination of the contributing factors influencing child passenger's sitting behaviour and restraint use. The results showed that 26% of the child passengers observed were occupying the front seat and the prevalence rate of restraint use was 4.5%. The developed bivariate probit model clearly highlights the existence of interrelationship between child passenger's sitting position and restraint use. The key factors simultaneously influencing child passenger's sitting position and restraint use include vehicle type, driver's gender, driver's belt use, child's age, and the presence of other child or adult passenger. Furthermore, time of day and day of week also influence child passenger sitting behaviour but not their restraint use. These findings provide insight for better understanding of child transporting practices and the contributing factors influencing their sitting behaviour and restraint use. The findings also highlight the need for policy makers to design effective countermeasures to promote rear sitting and restraint use among child passengers.
Related Concept Videos
Probability Laws
Probability Histograms
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Hypothesis Test for Test of Independence
H0: The two variables (factors)...
Determination of Expected Frequency
Mechanistic Models: Compartment Models in Individual and Population Analysis

