VALIDATION OF THE DRIVER BEHAVIOUR QUESTIONNAIRE OF DRIVERS IN BULGARIA

The Driver Behaviour Questionnaire (DBQ) is a widely used measure of driving behaviours that may increase a driver's risk of involvement in a crash. Purpose: The current research aimed to evaluate the validity of a 46-item questionnaire among Bulgarian drivers using confirmatory factor analysis. Method: Data on various attitudes towards road safety were gathered through an online survey. One hundred and sixty responses were obtained from licensed motor vehicle drivers, comprising 73.125% males and 26.875% females, aged between 18 and 61, with driving experience ranging from 1 to 5 years. Principal component factor analysis (with Varimax rotation) and confirmatory factor analysis (CFA with maximum likelihood estimation) were conducted to examine the underlying dimensions and model fit. Results indicated that the seven-factor structure includes “lack of skills”, “driver perception”, “road aggression”, “distracted driving", “neglected attitude”, “arrogance” and “neatness”. Confirmatory factor analysis supported the 46-item scale within the Bulgarian sample. Discussion: The models fit relatively well; all seven-factor structures effectively explain the data. The next step will be to identify which driver subgroups should be targeted in interventions and to determine the most suitable form of intervention to implement.

Institutions

Publication Details

Journal
Trakia Journal of Sciences
Published
2025-10-20
DOI
https://doi.org/10.15547/tjs.2025.s.02.015
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VALIDATION OF THE DRIVER BEHAVIOUR QUESTIONNAIRE OF DRIVERS IN BULGARIA

Trakia Journal of Sciences
Traffic and Road Safety
article

VALIDATION OF THE DRIVER BEHAVIOUR QUESTIONNAIRE OF DRIVERS IN BULGARIA

article en

Abstract

The Driver Behaviour Questionnaire (DBQ) is a widely used measure of driving behaviours that may increase a driver's risk of involvement in a crash. Purpose: The current research aimed to evaluate the validity of a 46-item questionnaire among Bulgarian drivers using confirmatory factor analysis. Method: Data on various attitudes towards road safety were gathered through an online survey. One hundred and sixty responses were obtained from licensed motor vehicle drivers, comprising 73.125% males and 26.875% females, aged between 18 and 61, with driving experience ranging from 1 to 5 years. Principal component factor analysis (with Varimax rotation) and confirmatory factor analysis (CFA with maximum likelihood estimation) were conducted to examine the underlying dimensions and model fit. Results indicated that the seven-factor structure includes “lack of skills”, “driver perception”, “road aggression”, “distracted driving", “neglected attitude”, “arrogance” and “neatness”. Confirmatory factor analysis supported the 46-item scale within the Bulgarian sample. Discussion: The models fit relatively well; all seven-factor structures effectively explain the data. The next step will be to identify which driver subgroups should be targeted in interventions and to determine the most suitable form of intervention to implement.

Trakia Journal of SciencesVol. 23(Supplement 2)
National Sports Academy Vassil Levski (BG)
Openalex Percentile: Top 42%
Traffic and Road Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.