Impact of automation on long haul trucking operator-hours in the United States
Bibliographic Data
| ID | 22234425 |
|---|---|
| Authors | Aniruddh Mohan (0000-0002-6797-6329, Carnegie Mellon University), Parth Vaishnav (0000-0003-1582-4523, University of Michigan) |
| Year | 2022 |
| Volume | 9 |
| Issue | 1 |
| Publication date | 2022-03-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Humanities and Social Sciences Communications (JOURNAL) |
| Journal identifiers | ISSN: 2662-9992 • E-ISSN: 2662-9992 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1057/s41599-022-01103-w |
| OpenAlex | W4220712346 |
| Language | EN |
| Citations received | 4 |
| References cited | 27 |
Automated long haul trucking is being developed for commercial deployment in the United States. One possible mode of deployment for this technology is a “transfer-hub” model where the operationally less complex highway driving is automated, while human drivers drive the more complex urban segment of the route. We study the possible net impacts on tractor-trailer operator-hours from this mode of deployment. Using data from the 2017 Commodity Flow Survey, we gather information on trucking shipments and the operator-hours required to fulfill those shipments. We find that up to 94% of long haul trucking operator-hours may be impacted as the technology improves to operate in all weather conditions. If the technology is however restricted to the southern states where the majority of companies are currently testing automated trucking, we find that only 10% of operator-hours are impacted. We conduct interviews with industry stakeholders including tractor-trailer operators on the feasibility of such a system of deployment. We find that an increase in short haul operation is unlikely to compensate for the loss in long haul operator-hours, despite public claims to this effect by the developers of the technology. Policymakers should consider the impact of different scenarios of deployment on the long haul trucking workforce
Automation · Business · Software deployment · Tractor · Trailer · Transport engineering · Yard · Computer Science · Engineering · Transport and Economic Policies · Transportation and Mobility Innovations · Urban and Freight Transport Logistics · Automotive Engineering
Skills, Tasks and Technologies
Ggmap
Revisiting the risk of automation
Snowball Sampling
Perceptions about the impact of automation in the workplace
Decarbonizing intraregional freight systems with a focus on modal shift
The “losers of automation”
Sampling in Interview-Based Qualitative Research
The Contexts of Control
Automation and New Tasks
Code Saturation Versus Meaning Saturation
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
The History of Technological Anxiety and the Future of Economic Growth
Truck-Driving Jobs
How Many Interviews Are Enough
Autonomous automobilities
| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |