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Development of a Safety Heavy-Duty Vehicle Model Considering Unsafe Acts, Unsafe Conditions and Near-Miss Events Using Structural Equation Model

Author

Listed:
  • Nattawut Pumpugsri

    (Graduate School, University of the Thai Chamber of Commerce, 126/1 Vibhavadi Rangsit Road, Din Daeng, Bangkok 10400, Thailand)

  • Wanchai Rattanawong

    (School of Engineering, University of the Thai Chamber of Commerce, 126/1 Vibhavadi Rangsit Road, Din Daeng, Bangkok 10400, Thailand)

  • Varin Vongmanee

    (School of Engineering, University of the Thai Chamber of Commerce, 126/1 Vibhavadi Rangsit Road, Din Daeng, Bangkok 10400, Thailand)

Abstract

The World Health Organization has revealed that Thailand ranks first in Asia with regard to the region’s road traffic death rate. Due to the growth in the domestic economy and demands in logistics, traffic congestion regularly occurs and brings higher risks to transportation, resulting in a constant increase in the accident rate involving heavy-duty vehicles (HDVs), with a tendency to escalate in the future. To prevent its occurrence and solve the problem, this research aims to present a “Safety HDV Model” based on four dimensions, namely, driver behaviors, unsafe roadway environment, types of vehicles and near-miss events, which are all considered as causes of accidents. In this study, the researchers use the Delphi method to obtain a consensus from experts in logistics and safety from both public and private organizations, and then they define indicators and assess the complex dimensions. Based on the consensus, the researchers find 4 dimensions, 15 factors and 55 indicators with a high level of consensus at the Kendall’s coefficient of concordance (W) of 0.402 and P less than 0.001 to be relevant to safety in logistics. To estimate the influences among dimensions, the researchers apply a structural equation model and find that both absolute fit indices and incremental fit indices demonstrate good fit, with a CMIN/DF of 1.90, RMSEA of 0.048, GFI of 0.95, AGFI of 0.92 and RMR of 0.032 for the absolute fit indices and NFI of 0.97, CFI of 0.98, TLI of 0.98 and IFI of 0.98 for the incremental fit indices. As the model is consistent with data and variables, it is considered to be valid to be adopted by responsible authorities to improve unsafe roadway environments and behaviors of HDV drivers. As the data in the model can be altered by location, the model can be utilized as a tool in strategic planning and management to prevent accidents in each area of the country in the future.

Suggested Citation

  • Nattawut Pumpugsri & Wanchai Rattanawong & Varin Vongmanee, 2023. "Development of a Safety Heavy-Duty Vehicle Model Considering Unsafe Acts, Unsafe Conditions and Near-Miss Events Using Structural Equation Model," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12150-:d:1213182
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    References listed on IDEAS

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    1. Danish Farooq & Sarbast Moslem & Szabolcs Duleba, 2019. "Evaluation of Driver Behavior Criteria for Evolution of Sustainable Traffic Safety," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    2. Junwei Zeng & Yongsheng Qian & Fan Yin & Leipeng Zhu & Dejie Xu, 2022. "A multi-value cellular automata model for multi-lane traffic flow under lagrange coordinate," Computational and Mathematical Organization Theory, Springer, vol. 28(2), pages 178-192, June.
    3. Andreas Ch. Hadjichambis & Demetra Paraskeva-Hadjichambi, 2020. "Environmental Citizenship Questionnaire (ECQ): The Development and Validation of an Evaluation Instrument for Secondary School Students," Sustainability, MDPI, vol. 12(3), pages 1-12, January.
    4. Kuo-Yu Peng & Hsiu-Li Liao, 2022. "A Study on the Key Factors of CSR Indicators for Tenderers in Procurement Screening Using the Delphi Method and DEMATEL-Based Analytic Network Process," Administrative Sciences, MDPI, vol. 12(4), pages 1-17, October.
    5. Shuo Liu & Junhua Wang & Ting Fu, 2016. "Effects of Lane Width, Lane Position and Edge Shoulder Width on Driving Behavior in Underground Urban Expressways: A Driving Simulator Study," IJERPH, MDPI, vol. 13(10), pages 1-14, October.
    6. Nemanja Deretić & Dragan Stanimirović & Mohammed Al Awadh & Nikola Vujanović & Aleksandar Djukić, 2022. "SARIMA Modelling Approach for Forecasting of Traffic Accidents," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    7. Ward Ahmed Al-Hussein & Lip Yee Por & Miss Laiha Mat Kiah & Bilal Bahaa Zaidan, 2022. "Driver Behavior Profiling and Recognition Using Deep-Learning Methods: In Accordance with Traffic Regulations and Experts Guidelines," IJERPH, MDPI, vol. 19(3), pages 1-23, January.
    8. Xiaoxiao Wang & Liangjie Xu, 2021. "Factors Influencing Young Drivers’ Willingness to Engage in Risky Driving Behavior: Continuous Lane-Changing," Sustainability, MDPI, vol. 13(11), pages 1-18, June.
    9. Chien-Hung Wei & Ying Lee & Yu-Wen Luo & Jyun-Jie Lu, 2021. "Incorporating Personality Traits to Assess the Risk Level of Aberrant Driving Behaviors for Truck Drivers," IJERPH, MDPI, vol. 18(9), pages 1-18, April.
    10. Krongthong Heebkhoksung & Wanchai Rattanawong & Varin Vongmanee, 2023. "A New Paradigm of a Sustainability-Balanced Scorecard Model for Sport Tourism," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    11. Muhammad Muhitur Rahman & Md Kamrul Islam & Ammar Al-Shayeb & Md Arifuzzaman, 2022. "Towards Sustainable Road Safety in Saudi Arabia: Exploring Traffic Accident Causes Associated with Driving Behavior Using a Bayesian Belief Network," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    12. Nutthawut Ritmak & Wanchai Rattanawong & Varin Vongmanee, 2023. "A New Dimension of Health Sustainability Model after Pandemic Crisis Using Structural Equation Model," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    13. Tanzina Afrin & Nita Yodo, 2020. "A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System," Sustainability, MDPI, vol. 12(11), pages 1-23, June.
    14. David Cerro-Herrero & Josué Prieto-Prieto & Mikel Vaquero-Solis & Miguel Ángel Tapia-Serrano & Pedro Antonio Sánchez-Miguel, 2022. "Analysis of Variables That Influence the Walkability of School Environments Based on the Delphi Method," IJERPH, MDPI, vol. 19(21), pages 1-11, October.
    15. Dingan Ni & Fengxiang Guo & Hui Zhang & Mingyuan Li & Yanning Zhou, 2022. "Improving Older Drivers’ Behaviors Using Theory of Planned Behavior," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    16. Muhammad Zahid & Yangzhou Chen & Sikandar Khan & Arshad Jamal & Muhammad Ijaz & Tufail Ahmed, 2020. "Predicting Risky and Aggressive Driving Behavior among Taxi Drivers: Do Spatio-Temporal Attributes Matter?," IJERPH, MDPI, vol. 17(11), pages 1-21, June.
    17. Reon Matemane & Tankiso Moloi & Michael Adelowotan, 2022. "Appraising Executive Compensation ESG-Based Indicators Using Analytical Hierarchical Process and Delphi Techniques," JRFM, MDPI, vol. 15(10), pages 1-19, October.
    18. Savalee Uttra & Napat Laddawan & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao, 2020. "Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling," IJERPH, MDPI, vol. 17(23), pages 1-22, November.
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