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Regulating the overloading of heavy commercial Vehicles: Assessment of land transport operators in Abu Dhabi

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  • Ahmed Alkhoori, Fatima
  • Kumar Maghelal, Praveen

Abstract

In March of 1986, the United Arab Emirates established a federal law to regulate heavy commercial vehicle's maximum weight limits, which was deactivated a few years after its implementation. As a result, the overloading rates by land transport operators (LTO) have increased over the years due to the lack of an effective regulatory framework. In the commuting system, an overload is defined as a load that exceeds the legal truckload limit and varies by the truck types specified by the number of axles. The overloaded heavy trucks negatively affect the road infrastructure by placing undue pressure on the road leading to severe damages. This research assesses the impact of overloaded heavy trucks in Abu Dhabi by conducting a trend analysis using Weigh-In-Motion data. Also, the study examines the behavior of these operators towards overloading using survey responses. The study contributes towards preserving the Emirate's road infrastructure and enhancing road user's safety and heavy truck operations. The results reveal 61% of trucks that passed through the weigh-in-motion stations were overloaded, and winter months reported the highest violations. Individual LTOs reported their perceived concerns about implementing the weight limit law and adapting to the law if implemented. A framework of activities is proposed for effective formulation and implementation of the weight limit law for all road user's safety in the Emirate of Abu Dhabi.

Suggested Citation

  • Ahmed Alkhoori, Fatima & Kumar Maghelal, Praveen, 2021. "Regulating the overloading of heavy commercial Vehicles: Assessment of land transport operators in Abu Dhabi," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 287-299.
    • Handle: RePEc:eee:transa:v:154:y:2021:i:c:p:287-299
    DOI: 10.1016/j.tra.2021.10.019
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    References listed on IDEAS

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    1. Moreno-Quintero, Eric & Fowkes, Tony & Watling, David, 2013. "Modelling planner–carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 68-83.
    2. Anfal Al-Ali & Praveen Maghelal & Khaled Alawadi, 2020. "Assessing Neighborhood Satisfaction and Social Capital in a Multi-Cultural Setting of an Abu Dhabi Neighborhood," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
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    Cited by:

    1. Yang, Yitao & Jia, Bin & Yan, Xiao-Yong & Zhi, Danyue & Song, Dongdong & Chen, Yan & de Bok, Michiel & Tavasszy, Lóránt A. & Gao, Ziyou, 2023. "Uncovering and modeling the hierarchical organization of urban heavy truck flows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Fulu Wei & Danping Dong & Pan Liu & Yongqing Guo & Zhenyu Wang & Qingyin Li, 2022. "Quarterly Instability Analysis of Injury Severities in Truck Crashes," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
    3. Huiying Wen & Yingxin Du & Zheng Chen & Sheng Zhao, 2022. "Analysis of Factors Contributing to the Injury Severity of Overloaded-Truck-Related Crashes on Mountainous Highways in China," IJERPH, MDPI, vol. 19(7), pages 1-17, April.
    4. Mendoza-Lugo, Miguel Angel & Morales-Nápoles, Oswaldo, 2024. "Mapping hazardous locations on a road network due to extreme gross vehicle weights," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    5. Zhenzhen Yang, 2024. "Driving Risk Identification of Truck Drivers Based on China’s Highway Toll Data," Sustainability, MDPI, vol. 16(5), pages 1-20, March.

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