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

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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:

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    2. 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).
    3. Jaller, Miguel PhD & Xiao, Runhua Ivan, 2023. "The Effects of Truck Idling and Searching for Parking on Disadvantaged Communities," Institute of Transportation Studies, Working Paper Series qt9w28d01h, Institute of Transportation Studies, UC Davis.

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