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

Jason Nassios, Robert Waschik, P.B. Dixon and M. Rimmer

No 333205, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project

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

Keywords: Resource/Energy; Economics; and; Policy (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:333205

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