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Evaluating the impact of automation in long-haul trucking in the United States using USAGE-Hwy

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  • Nassios, J.
  • Waschik, Robert
  • Dixon, P.B.
  • Rimmer, M.

Abstract

The specific focus of this study is the impact of automation in long-haul trucking. In the US, long-haul trucking is a segment of the two NAICS industries: 484000 “For-hire truck transportation”; and 47OT.484 “In-house truck transportation”. We assume that it is likely that the long-haul segment will be the first to be impacted (compared to other segments of heavy truck and tractor-trailer driving) because: 1. Current driving automation system development focuses on limited access highways because they are a less-complex environment than surface streets; 2. Unlike the short-haul segment, the long-haul segment involves long periods of uninterrupted highway driving; and 3. Long-haul drivers have fewer non-driving responsibilities than short-haul drivers. To conduct this analysis, we use the Centre of Policy Studies’ USAGE-Hwy model of the United States economy. USAGE-Hwy will be used to simulate the impact of the adoption of automation in long-haul trucking in the US through the following factors: Labour-saving technological change; Fuel cost savings; Capital-saving technological change; Fatalities

Suggested Citation

  • Nassios, J. & Waschik, Robert & Dixon, P.B. & Rimmer, M., 2020. "Evaluating the impact of automation in long-haul trucking in the United States using USAGE-Hwy," Conference papers 333205, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:333205
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    File URL: https://ageconsearch.umn.edu/record/333205/files/9656.pdf
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    References listed on IDEAS

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    1. Dixon, Peter B. & Rimmer, Maureen T. & Waschik, Robert, 2017. "Linking CGE and specialist models: Deriving the implications of highway policy using USAGE-Hwy," Economic Modelling, Elsevier, vol. 66(C), pages 1-18.
    2. Maury Gittleman & Kristen Monaco, 2020. "Truck-Driving Jobs: Are They Headed for Rapid Elimination?," ILR Review, Cornell University, ILR School, vol. 73(1), pages 3-24, January.
    3. Peter B. Dixon & James. A. Giesecke & Maureen T. Rimmer, 2015. "Superannuation within a financial CGE model of the Australian economy," Centre of Policy Studies/IMPACT Centre Working Papers g-253, Victoria University, Centre of Policy Studies/IMPACT Centre.
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