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A data-driven systematic approach for identifying and classifying long-haul truck parking locations

Author

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  • Nevland, Erik A.
  • Gingerich, Kevin
  • Park, Peter Y.

Abstract

Heavy Commercial Vehicle (HCV) parking is an important issue for commercial drivers due to concerns regarding parking supply, hours-of-service (HOS) laws, and electronic logging device (ELD) mandates. HOS laws are intended to reduce driver fatigue while ELD mandates ensure strict HOS compliance. Unfortunately, inadequate HCV parking availability may force drivers to make an undesirable choice: park illegally in a potentially unsafe location or drive longer than the law permits and face fines for HOS violations. These outcomes occur frequently throughout Canada and the United States, leading to safety and financial concerns for government jurisdictions and the broader public.

Suggested Citation

  • Nevland, Erik A. & Gingerich, Kevin & Park, Peter Y., 2020. "A data-driven systematic approach for identifying and classifying long-haul truck parking locations," Transport Policy, Elsevier, vol. 96(C), pages 48-59.
    • Handle: RePEc:eee:trapol:v:96:y:2020:i:c:p:48-59
    DOI: 10.1016/j.tranpol.2020.04.003
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    References listed on IDEAS

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    Cited by:

    1. Igor Betkier & Elżbieta Macioszek, 2022. "Characteristics of Parking Lots Located along Main Roads in Terms of Cargo Truck Requirements: A Case Study of Poland," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    2. Goel, Pooja & Kumar, Aalok, 2024. "Investigating how consumption values and place identity shape long-haul truck drivers’ intention to visit roadside rest areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
    3. Wu, Jishi & Feng, Tao & Jia, Peng & Li, Gen, 2024. "Spatial allocation of heavy commercial vehicles parking areas through geo-fencing," Journal of Transport Geography, Elsevier, vol. 117(C).
    4. Krasniuk, Sarah & Lemke, Michael K. & Hassoun, Aya & Hege, Adam & Crizzle, Alexander M., 2024. "Improving truck stop environments to support long-haul truck driver safety and health: A scoping review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    5. Yang, Zhiwei & Chen, Xiaohong & Deng, Jihao & Li, Tianhao & Yuan, Quan, 2023. "Footprints of goods movements: Spatial heterogeneity of heavy-duty truck activities and its influencing factors in the urban context," Journal of Transport Geography, Elsevier, vol. 113(C).
    6. Huertas, José I. & Serrano-Guevara, Oscar & Díaz-Ramírez, Jenny & Prato, Daniel & Tabares, Lina, 2022. "Real vehicle fuel consumption in logistic corridors," Applied Energy, Elsevier, vol. 314(C).
    7. repec:cdl:itsdav:qt9w28d01h is not listed on IDEAS

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