Macroeconomic Impacts of Automated Driving Systems in Long-Haul Trucking

Waschik, Robert; Friedman, Daniel; Taylor, Catherine; Boatner, Jasmine; John A. Volpe National Transportation Systems Center (U.S.); Victoria University. Centre of Policy Studies

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Macroeconomic Impacts of Automated Driving Systems in Long-Haul Trucking

2021-01-28
By Waschik, Robert ; Friedman, Daniel ; Taylor, Catherine ; ...

[PDF-525.34 KB]

English

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Creators:

Waschik, Robert ; Friedman, Daniel ; Taylor, Catherine ; Boatner, Jasmine

Waschik, Robert ; Friedman, Daniel ; Taylor, Catherine ; Boatner, Jasmine Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.) ; Victoria University. Centre of Policy Studies

John A. Volpe National Transportation Systems Center (U.S.) ; Victoria University. Centre of Policy Studies Less -
Corporate Contributors:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
Subject/TRT Terms:

[+]

Automated Vehicle Control Autonomous Vehicles Capital Costs Computable General Equilibrium Economic Impacts For Hire Carriers Haul Distance Labor Costs Labor Market Long-haul Carriers Macroeconomics Savings Technological Innovations USAGE-Hwy
Publication/ Report Number:

DOT-VNTSC-FHWA-20-16 ; FHWA-JPO-21-847

DOT-VNTSC-FHWA-20-16 ; FHWA-JPO-21-847 Less -
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
Abstract:

This report presents an analysis of the potential macroeconomic impacts resulting from the adoption of higher level automated driving systems (ADS) of the long-haul trucking industry in the United States. The analysis uses USAGE-Hwy, a computable general equilibrium (CGE) model of the U.S. economy that includes detail on transportation related industries including for-hire and in-house trucking. Three time profiles for the adoption of automation are explored. The results show that automation of the long-haul trucking industry is expected to bring welfare enhancing productivity enhancements to the economy. Assuming that occupational turnover rates remain as they are, these positive economic impacts would not be accompanied by forced-lay-offs under the slow and medium adoption scenarios. Only under the fast adoption scenario are there short-lived, small magnitude lay-offs.
Format:

PDF
Funding:

693JJ318N300055
Collection(s):

Volpe Center
Main Document Checksum:

[+]

urn:sha256:e284c64d582fd1319d53a6ab23dbce59e6ff30eb9a2ebcf947aed30187136da3
Download URL:

https://rosap.ntl.bts.gov/view/dot/54596/dot_54596_DS1.pdf
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Macroeconomic Impacts of Automated Driving Systems in Long-Haul Trucking

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