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

Author

Listed:
  • Supanida Nanthawong

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Panuwat Wisutwattanasak

    (Institute of Research and Development, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Chinnakrit Banyong

    (Industrial and Logistics Management Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Thanapong Champahom

    (Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima 30000, Thailand)

  • Vatanavongs Ratanavaraha

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

  • Sajjakaj Jomnonkwao

    (School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand)

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 (X 2 /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.

Suggested Citation

  • Supanida Nanthawong & Panuwat Wisutwattanasak & Chinnakrit Banyong & Thanapong Champahom & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2025. "Extending the DBQ Framework: A Second-Order CFA of Risky Driving Behaviors Among Truck Drivers in Thailand," Logistics, MDPI, vol. 9(3), pages 1-27, September.
    • Handle: RePEc:gam:jlogis:v:9:y:2025:i:3:p:134-:d:1754911
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    References listed on IDEAS

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    1. Oviedo-Trespalacios, Oscar, 2018. "Getting away with texting: Behavioural adaptation of drivers engaging in visual-manual tasks while driving," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 112-121.
    2. Maowei Chen & Lele Zhou & Sangho Choo & Hyangsook Lee, 2022. "Analysis of Risk Factors Affecting Urban Truck Traffic Accident Severity in Korea," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
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