Extending the DBQ Framework: A Second-Order CFA of Risky Driving Behaviors Among Truck Drivers in Thailand

Background: Truck drivers are a vital workforce sustaining Thailand’s freight transport, particularly in Northeastern Thailand (Isan), a major logistics hub connecting with Laos, Vietnam, and Cambodia via Highway No. 2 and the AEC network. However, these drivers face disproportionately high risks of severe road accidents due to occupational factors such as fatigue, time pressure, and long-distance driving. Methods: This study developed and validated a second-order confirmatory factor analysis (CFA) model to examine the multidimensional structure of risky driving behavior among Thai truck drivers. Grounded in the Driver Behavior Questionnaire (DBQ), the framework was extended to include seven dimensions: traffic violations, errors, lapses, aggressive behavior, substance use, technology-related distractions, and pedestrian-related risks. Results: Data were collected from 400 truck drivers in Isan using a structured questionnaire. CFA results confirmed the model’s structural validity, with satisfactory fit indices (X2/df = 2.122, CFI = 0.913, TLI = 0.897, RMSEA = 0.053, SRMR = 0.079). Conclusions: The findings reveal that risky driving behavior in this group extends beyond traditional DBQ categories, incorporating emerging risks specific to the commercial transport environment. This framework can be effectively utilized for risk assessment, behavioral screening, and the development of targeted safety interventions for this high-risk occupational group.

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Publication Details

Journal
Logistics
Published
2025-09-22
DOI
https://doi.org/10.3390/logistics9030134
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
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article

Extending the DBQ Framework: A Second-Order CFA of Risky Driving Behaviors Among Truck Drivers in Thailand

Supanida Nanthawong, Thanapong Champahom, Panuwat Wisutwattanasak, Chinnakrit Banyong et al.
Logistics
Traffic and Road Safety
article

Extending the DBQ Framework: A Second-Order CFA of Risky Driving Behaviors Among Truck Drivers in Thailand

Supanida Nanthawong, Thanapong Champahom, Panuwat Wisutwattanasak, Chinnakrit Banyong, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao
article en

Abstract

Background: Truck drivers are a vital workforce sustaining Thailand’s freight transport, particularly in Northeastern Thailand (Isan), a major logistics hub connecting with Laos, Vietnam, and Cambodia via Highway No. 2 and the AEC network. However, these drivers face disproportionately high risks of severe road accidents due to occupational factors such as fatigue, time pressure, and long-distance driving. Methods: This study developed and validated a second-order confirmatory factor analysis (CFA) model to examine the multidimensional structure of risky driving behavior among Thai truck drivers. Grounded in the Driver Behavior Questionnaire (DBQ), the framework was extended to include seven dimensions: traffic violations, errors, lapses, aggressive behavior, substance use, technology-related distractions, and pedestrian-related risks. Results: Data were collected from 400 truck drivers in Isan using a structured questionnaire. CFA results confirmed the model’s structural validity, with satisfactory fit indices (X2/df = 2.122, CFI = 0.913, TLI = 0.897, RMSEA = 0.053, SRMR = 0.079). Conclusions: The findings reveal that risky driving behavior in this group extends beyond traditional DBQ categories, incorporating emerging risks specific to the commercial transport environment. This framework can be effectively utilized for risk assessment, behavioral screening, and the development of targeted safety interventions for this high-risk occupational group.

LogisticsVol. 9(3)
Rajamangala University of Technology Isan (TH), Suranaree University of Technology (TH)
Suranaree University of Technology, Thailand Science Research and Innovation
Openalex Percentile: Top 68%
Traffic and Road Safety
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