Operations of a shared, autonomous, electric vehicle fleet: Implications of vehicle & charging infrastructure decisions
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Using autonomous shared vehicles alone could increase total vehicle-miles traveled and do not necessarily lead to lower emissions if vehicles have internal combustion engines or dirty electricity.
“However, using autonomous shared vehicles alone could increase the total vehicle-miles traveled and therefore do not necessarily lead to lower emissions as long as the vehicles have internal combustion engines (or electrical engines on a "dirty" electrical grid) [131,495].”
From Tackling climate change with machine learning (2023) · cites this paper as [131]
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- Authors
- Chen, T. D., Kockelman, K. M., & Hanna, J. P.
- Affiliations
- University of Virginia (US)
- The University of Texas at Austin (US)
- Corresponding author
- Kockelman, Kara M.
- Venue
- Transportation Research Part A: Policy and Practice
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 94
- Pages
- 243-254
- ISSN
- 0965-8564 (ISSN-L)
- OpenAlex
- W2525536947
- Cited by
- 529
- References
- 15
- Citations by year
- 2026: 26 · 2025: 45 · 2024: 49 · 2023: 52 · 2022: 68 · 2021: 77 · 2020: 81 · 2019: 67 · 2018: 45 · 2017: 14 · 2016: 5
- FWCI
- 34.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 301 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Transportation Research Part A Policy and Practice (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Transportation Research Board 95th Annual MeetingTransportation Research Board
- Funders
- National Science Foundation
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Social Sciences › Transportation › Transportation Planning and Optimization
- Keywords
- shared autonomous electric vehicles, fleet management, charging infrastructure, driving range, DC fast charging, empty miles, fleet size, car sharing, travel cost, agent-based modeling, Austin, Texas, travel patterns, waiting time, vehicle miles traveled, range anxiety, urban mobility, vehicle-to-vehicle communication, vehicle-to-infrastructure communication
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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