IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12150-d1213182.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12150/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/16/12150/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yingcui Du & Feng Sun & Fangtong Jiao & Benxing Liu & Xiaoqing Wang & Pengsheng Zhao, 2023. "The Identification of Intersection Entrance Accidents Based on Autoencoder," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    2. Danish Farooq & Sarbast Moslem & Arshad Jamal & Farhan Muhammad Butt & Yahya Almarhabi & Rana Faisal Tufail & Meshal Almoshaogeh, 2021. "Assessment of Significant Factors Affecting Frequent Lane-Changing Related to Road Safety: An Integrated Approach of the AHP–BWM Model," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    3. Veronika Harantová & Ambróz Hájnik & Alica Kalašová & Tomasz Figlus, 2022. "The Effect of the COVID-19 Pandemic on Traffic Flow Characteristics, Emissions Production and Fuel Consumption at a Selected Intersection in Slovakia," Energies, MDPI, vol. 15(6), pages 1-21, March.
    4. Malik Muneeb Abid & Shehar Bano & Ashok Kumar & Muhammad Iqbal & Muhammad Laiq Ur Rahman Shahid & Ahsan Javed & Muhammad Atiq Ur Rehman Tariq, 2022. "Trend towards Helmet Usage and the Behavior of Riders While Wearing Helmets," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    5. Leogrande, Angelo & Leogrande, Domenico & Costantiello, Alberto, 2023. "The Role of Unemployment in the ESG Model at World Level," MPRA Paper 117845, University Library of Munich, Germany.
    6. Shujaat Abbas & Hazrat Yousaf & Shabeer Khan & Mohd Ziaur Rehman & Dmitri Blueschke, 2023. "Analysis and Projection of Transport Sector Demand for Energy and Carbon Emission: An Application of the Grey Model in Pakistan," Mathematics, MDPI, vol. 11(6), pages 1-14, March.
    7. Ariel Sarid & Daphne Goldman, 2021. "A Value-Based Framework Connecting Environmental Citizenship and Change Agents for Sustainability—Implications for Education for Environmental Citizenship," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    8. Afaq Khattak & Hamad Almujibah & Ahmed Elamary & Caroline Mongina Matara, 2022. "Interpretable Dynamic Ensemble Selection Approach for the Prediction of Road Traffic Injury Severity: A Case Study of Pakistan’s National Highway N-5," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    9. Muhammad Ijaz & Lan Liu & Yahya Almarhabi & Arshad Jamal & Sheikh Muhammad Usman & Muhammad Zahid, 2022. "Temporal Instability of Factors Affecting Injury Severity in Helmet-Wearing and Non-Helmet-Wearing Motorcycle Crashes: A Random Parameter Approach with Heterogeneity in Means and Variances," IJERPH, MDPI, vol. 19(17), pages 1-24, August.
    10. Yaqi Liu & Xiaoyuan Wang, 2020. "Differences in Driving Intention Transitions Caused by Driver’s Emotion Evolutions," IJERPH, MDPI, vol. 17(19), pages 1-22, September.
    11. Raffaele Mauro & Andrea Pompigna, 2022. "A Statistically Based Model for the Characterization of Vehicle Interactions and Vehicle Platoons Formation on Two-Lane Roads," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    12. Liang Zou & Suiying Hu & Lingxiang Zhu, 2023. "Based on AFC Data Calculation of Walking Time in Metro Stations Considering the Impact of Passenger Flows," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    13. Moneim Massar & Imran Reza & Syed Masiur Rahman & Sheikh Muhammad Habib Abdullah & Arshad Jamal & Fahad Saleh Al-Ismail, 2021. "Impacts of Autonomous Vehicles on Greenhouse Gas Emissions—Positive or Negative?," IJERPH, MDPI, vol. 18(11), pages 1-23, May.
    14. Kohnert, Dirk, 2023. "Moral Money in Sub-Saharan Africa? On ensuring ethics to drive sustainable investment," MPRA Paper 117779, University Library of Munich, Germany.
    15. Minou Ella Mebane & Maura Benedetti & Daniela Barni & Donata Francescato, 2023. "Promoting Climate Change Awareness with High School Students for a Sustainable Community," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    16. Ruizhe Yan & Lin Hu & Juanjuan Li & Nanting Lin, 2024. "Accident Severity Analysis of Traffic Accident Hot Spot Areas in Changsha City Considering Built Environment," Sustainability, MDPI, vol. 16(7), pages 1-15, April.
    17. Andrei C. Holman & Simona A. Popușoi, 2020. "How You Deal with Your Emotions Is How You Drive. Emotion Regulation Strategies, Traffic Offenses, and the Mediating Role of Driving Styles," Sustainability, MDPI, vol. 12(12), pages 1-13, June.
    18. Penghui Zhao & Jianxiao Ma & Chubo Xu & Chuwei Zhao & Zifan Ni, 2022. "Research on the Safety of the Left Hard Shoulder in a Multi-Lane Highway Based on Safety Performance Function," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    19. Sarbast Moslem & Muhammet Gul & Danish Farooq & Erkan Celik & Omid Ghorbanzadeh & Thomas Blaschke, 2020. "An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety," Mathematics, MDPI, vol. 8(3), pages 1-20, March.
    20. Surya Michrandi Nasution & Emir Husni & Kuspriyanto Kuspriyanto & Rahadian Yusuf & Bernardo Nugroho Yahya, 2021. "Contextual Route Recommendation System in Heterogeneous Traffic Flow," Sustainability, MDPI, vol. 13(23), pages 1-21, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12150-:d:1213182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.