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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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    1. Cassetta, Ernesto & Marra, Alessandro & Pozzi, Cesare & Antonelli, Paola, 2017. "Emerging technological trajectories and new mobility solutions. A large-scale investigation on transport-related innovative start-ups and implications for policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 1-11.
    2. Schmid, Joshua & Wang, Xiaokun (Cara) & Conway, Alison, 2018. "Commercial vehicle parking duration in New York City and its implications for planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 580-590.
    3. Meyer, Michael D., 1999. "Demand management as an element of transportation policy: using carrots and sticks to influence travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 575-599.
    4. Amer, Ahmed & Chow, Joseph Y.J., 2017. "A downtown on-street parking model with urban truck delivery behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 51-67.
    5. Chen, Quanquan & Conway, Alison & Cheng, Jialei, 2017. "Parking for residential delivery in New York City: Regulations and behavior," Transport Policy, Elsevier, vol. 54(C), pages 53-60.
    6. Thompson, Jason & Newnam, Sharon & Stevenson, Mark, 2015. "A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transport system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 204-215.
    7. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    8. Khan, Mubassira & Machemehl, Randy, 2017. "Commercial vehicles time of day choice behavior in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 68-83.
    9. Yan, Xiang & Levine, Jonathan & Marans, Robert, 2019. "The effectiveness of parking policies to reduce parking demand pressure and car use," Transport Policy, Elsevier, vol. 73(C), pages 41-50.
    10. Shoup, Donald C., 1995. "Cashing out Employer-Paid Parking: An Opportunity to Reduce Minimum Parking Requirements," University of California Transportation Center, Working Papers qt4jg417cw, University of California Transportation Center.
    11. Ioannou, Petros & de Almeida Araujo Vital, Filipe, 2018. "Intelligent Parking Assist for Trucks with Prediction," Institute of Transportation Studies, Working Paper Series qt7dm0x5mr, Institute of Transportation Studies, UC Davis.
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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. 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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