Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles
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Electric driven autonomous taxis could significantly reduce GHG emissions in 2030 with respect to current conventional and hybrid vehicles.
“It is also estimated that electric driven autonomous taxis could significantly reduce GHG emissions in 2030 with respect to current conventional and hybrid vehicles”
From Understanding autonomous vehicles: A systematic literature review on capability, impact, planning and policy (2019) · cites this paper as Greenblatt & Saxena, 2015
More intensive use of light duty vehicles can reduce material-related GHG emissions by 93%-96% for the vehicle.
“| | | ↓93%-96% vehicle [149] | | | | → urbanization, technology development |”
From Material efficiency strategies to reducing greenhouse gas emissions associated with buildings, vehicles, and electronics—a review (2019) · cites this paper as [149]
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“It is also estimated that electric driven autonomous taxis could significantly reduce GHG emissions in 2030 with respect to current conventional and hybrid vehicles (Greenblatt & Saxena, 2015).”
BackgroundAutomated Vehicles, On-Demand Mobility, and Environmental Impacts
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Self-citation
- Authors
- Greenblatt, J. B., & Saxena, S.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Greenblatt, Jeffery B.
- Venue
- Nature Climate Change
- Published
- 2015-07-06
- Volume
- 5
- Issue
- 9
- Pages
- 860-863
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2215284045
- Cited by
- 419
- References
- 13
- Citations by year
- 2026: 23 · 2025: 22 · 2024: 38 · 2023: 31 · 2022: 43 · 2021: 51 · 2020: 60 · 2019: 61 · 2018: 31 · 2017: 33 · 2016: 20 · 2015: 6
- FWCI
- 29.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Automotive Engineering › Vehicle emissions and performance
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Keywords
- autonomous taxis, autonomous vehicles, greenhouse gas emissions, light-duty vehicles, vehicle miles traveled, battery electric vehicles, oil consumption, shared mobility, vehicle size
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