Contributions of shared autonomous vehicles to climate change mitigation
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
LIB technologies improve energy efficiency in transportation.
“These technologies improve energy efficiency in transportation, mitigate the impacts of intermittency in emission-free energy production technologies, and improve economic productivity [2].”
From Mapping the Supply Chain of Lithium-Ion Battery Metals from Mine to Primary Processing by Country and Corporation (2026) · cites this paper as [2]
LIB technologies mitigate the impacts of intermittency in emission-free energy production technologies.
“These technologies improve energy efficiency in transportation, mitigate the impacts of intermittency in emission-free energy production technologies, and improve economic productivity [2].”
From Mapping the Supply Chain of Lithium-Ion Battery Metals from Mine to Primary Processing by Country and Corporation (2026) · cites this paper as [2]
LIB technologies improve economic productivity.
“These technologies improve energy efficiency in transportation, mitigate the impacts of intermittency in emission-free energy production technologies, and improve economic productivity [2].”
From Mapping the Supply Chain of Lithium-Ion Battery Metals from Mine to Primary Processing by Country and Corporation (2026) · cites this paper as [2]
Charging electric SAVs at times optimal for the energy system, when SAV services have high penetration rate (replacing VMT/VKT of private vehicles by 70%), provides greater environmental benefit than application of carbon tax.
“They show that such a strategy, when SAV services have a high penetration rate (replacing VMT/VKT of private vehicles by 70%), provides a greater environmental benefit than the application of carbon tax.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Jones & Leibowicz (2019)
Incentivizing fleet operators to charge their SAVs during times optimal for the energy system is a more important environmental policy than implementing carbon tax.
“They also conclude 590 that incentivizing fleet operators to charge their SAVs during those times that are optimal for the energy system is a more important environmental policy, than implementing carbon tax.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Jones & Leibowicz, 2019
There is a further reduction in emissions when the vehicle charging is optimally scheduled.
“There is a further reduction in emissions, when the vehicle charging is optimally scheduled.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Jones & Leibowicz, 2019
A reduction in emissions is concluded when electric SAVs replace VMT/VKT of private vehicles by 70%, although VMT/VKT is doubled.
“Jones & Leibowicz (2019) conclude a reduction in emissions, when electric SAVs replace VMT/VKT of private vehicles by 70%, although VMT/VKT is doubled.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Jones & Leibowicz, 2019
Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,557 · see citing works
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,555 · see citing works
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214 · see citing works
The influence of financial incentives and other socio-economic factors on electric vehicle adoption
Sierzchula, W., Bakker, S., Maat, K., & van Wee, B. (2014) · Energy Policy · doi:10.1016/j.enpol.2014.01.043 · Cited by 1,467 · see citing works
Carbon lock-in: types, causes, and policy implications
Seto, K. C., Davis, S. J., Mitchell, R. B., Stokes, E. C., Unruh, G., & Ürge-Vorsatz, D. (2016) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-110615-085934 · Cited by 1,346 · see citing works
Fagnant, D. J., & Kockelman, K. M. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2013.12.001 · Cited by 1,177 · see citing works
OSeMOSYS: The Open Source Energy Modeling System
Howells, M., Rogner, H., Strachan, N. D., Heaps, C. G., Huntington, H. G., Kypreos, S., Hughes, A., Silveira, S., DeCarolis, J., Bazilian, M., et al. (2011) · Energy Policy · doi:10.1016/j.enpol.2011.06.033 · Cited by 958 · see citing works
Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles
Wadud, Z., MacKenzie, D., & Leiby, P. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.12.001 · Cited by 859 · see citing works
Dynamics of energy technologies and global change
Grübler, A., Nakićenović, N., & Victor, D. G. (1999) · Energy Policy · doi:10.1016/s0301-4215(98)00067-6 · Cited by 726 · see citing works
Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas
Fagnant, D. J., & Kockelman, K. M. (2018) · Transportation · doi:10.1007/s11116-016-9729-z · Cited by 616 · see citing works
Autonomous Vehicle Technology: A Guide for Policymakers
Anderson, J. M., Kalra, N., Stanley, K. D., Sorensen, P. A., Samaras, C., & Oluwatola, O. A. (2014) · RAND Corporation eBooks · doi:10.7249/rr443 · Cited by 590 · see citing works
Cost-based analysis of autonomous mobility services
Bösch, P. M., Becker, F., Becker, H., & Axhausen, K. W. (2018) · Transport Policy · doi:10.1016/j.tranpol.2017.09.005 · Cited by 585 · see citing works
Clewlow, R., & Mishra, G. S. (2017) · RePEc: Research Papers in Economics · Cited by 563 · see citing works
Chen, T. D., Kockelman, K. M., & Hanna, J. P. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2016.08.020 · Cited by 529 · see citing works
Greenhouse Gas Emission Impacts of Carsharing in North America
Martin, E. W., & Shaheen, S. (2011) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2011.2158539 · Cited by 528 · see citing works
Moro, A., & Lonza, L. (2018) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2017.07.012 · Cited by 492 · see citing works
The impact of ride-hailing on vehicle miles traveled
Henao, A., & Marshall, W. E. (2018) · Transportation · doi:10.1007/s11116-018-9923-2 · Cited by 471 · see citing works
Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles
Greenblatt, J. B., & Saxena, S. (2015) · Nature Climate Change · doi:10.1038/nclimate2685 · Cited by 419 · see citing works
Automated Vehicles, On-Demand Mobility, and Environmental Impacts
Greenblatt, J. B., & Shaheen, S. (2015) · Current Sustainable/Renewable Energy Reports · doi:10.1007/s40518-015-0038-5 · Cited by 407 · see citing works
Stehfest, E., van Vuuren, D. P., Bouwman, L., & Kram, T. (2014) · Utrecht University Repository (Utrecht University) · Cited by 400 · see citing works
MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively
Messner, S., & Schrattenholzer, L. (2000) · Energy · doi:10.1016/s0360-5442(99)00063-8 · Cited by 333 · see citing works
China's transportation energy consumption and CO2 emissions from a global perspective
Yin, X. G., Chen, W., Eom, J., Clarke, L., Kim, S. H., Patel, P., Yu, S., & Kyle, P. G. (2015) · Energy Policy · doi:10.1016/j.enpol.2015.03.021 · Cited by 248 · see citing works
An Analysis of the Labor Market for Uber’s Driver-Partners in the United States
Hall, J., & Krueger, A. B. (2016) · National Bureau of Economic Research · doi:10.3386/w22843 · Cited by 228 · see citing works
Meyer, G., & Beiker, S. A. (2015) · Lecture notes in mobility · doi:10.1007/978-3-319-19078-5 · Cited by 216 · see citing works
Shared, Collaborative and On Demand: The New Digital Economy
Smith, A. C. T. (2016) · Cited by 208 · see citing works
McCollum, D. L., Wilson, C., Pettifor, H., Ramea, K., Krey, V., Riahi, K., Bertram, C., Lin, Z., Edelenbosch, O. Y., & Fujisawa, S. (2016) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2016.04.003 · Cited by 205 · see citing works
The need for biofuels as part of a low carbon energy future
Fulton, L. M., Lynd, L. R., Körner, A., Greene, N., & Tonachel, L. (2015) · Biofuels Bioproducts and Biorefining · doi:10.1002/bbb.1559 · Cited by 170 · see citing works
Diffusion of low-carbon technologies and the feasibility of long-term climate targets
Iyer, G. C., Hultman, N., Eom, J., McJeon, H. C., Patel, P., & Clarke, L. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.08.025 · Cited by 164 · see citing works
Stoiber, T., Schubert, I., Hoerler, R., & Burger, P. (2019) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2018.12.019 · Cited by 151 · see citing works
Gardumi, F., Shivakumar, A., Morrison, R., Taliotis, C., Broad, O., Beltramo, A., Sridharan, V., Howells, M., Hörsch, J., Niet, T., et al. (2018) · Energy Strategy Reviews · doi:10.1016/j.esr.2018.03.005 · Cited by 142 · see citing works
Decomposing passenger transport futures: Comparing results of global integrated assessment models
Edelenbosch, O. Y., McCollum, D. L., van Vuuren, D. P., Bertram, C., Carrara, S., Daly, H., Fujimori, S., Kitous, A., Kyle, P. G., Broin, E. Ó., et al. (2016) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2016.07.003 · Cited by 133 · see citing works
Innovative Mobility: Carsharing Outlook (Spring 2018)Preprint
Shaheen, S. (2018) · RePEc: Research Papers in Economics · doi:10.7922/g2cc0xvw · Cited by 127 · see citing works
Travel and energy implications of ridesourcing service in Austin, Texas
Wenzel, T., Rames, C. L., Kontou, E., & Henao, A. (2019) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2019.03.005 · Cited by 127 · see citing works
Substantial rebound effects in urban ridesharing: Simulating travel decisions in Paris, France
Coulombel, N., Boutueil, V., Liu, L., Viguié, V., & Yin, B. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.12.006 · Cited by 124 · see citing works
McJeon, H. C., Clarke, L., Kyle, P. G., et al. (2010) · Energy Economics · doi:10.1016/j.eneco.2010.10.007 · Cited by 105 · see citing works
Technology Improvement Pathways to Cost-effective Vehicle Electrification
Brooker, A., Thornton, M. J., & Rugh, J. P. (2010) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2010-01-0824 · Cited by 91 · see citing works
Karkatsoulis, P., Siskos, P., Paroussos, L., & Capros, P. (2016) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2016.11.026 · Cited by 89 · see citing works
Moura, G., Legey, L. F. L., & Howells, M. (2018) · Energy Policy · doi:10.1016/j.enpol.2018.01.045 · Cited by 77 · see citing works
Ridehail Revolution: Ridehail Travel and Equity in Los Angeles
Brown, A. E. (2017) · eScholarship (California Digital Library) · doi:10.17610/t6v88m · Cited by 75 · see citing works
Onn, C. C., Mohd, N. S., Yuen, C. W., Loo, S. C., Koting, S. B., Rashid, A. F. A., Karim, M. R., & Yusoff, S. B. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.06.018 · Cited by 65 · see citing works
Comparison of integrated assessment models: Carbon price impacts on U.S. energy
Wilkerson, J. T., Leibowicz, B. D., Turner, D. D., et al. (2014) · Energy Policy · doi:10.1016/j.enpol.2014.10.011 · Cited by 61 · see citing works
Self-citationLeibowicz, B. D. (2018) · Energy Policy · doi:10.1016/j.enpol.2018.04.066 · Cited by 60 · see citing works
Self-citationKey factors influencing the global passenger transport dynamics using the AIM/transport model
Mittal, S., Dai, H., Fujimori, S., Hanaoka, T., & Zhang, R. (2016) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2016.10.006 · Cited by 55 · see citing works
Modeling Transportation Systems involving Autonomous Vehicles: A State of the Art
Berrada, J., & Leurent, F. M. (2017) · Transportation research procedia · doi:10.1016/j.trpro.2017.12.077 · Cited by 51 · see citing works
Brozynski, M. T., & Leibowicz, B. D. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.08.005 · Cited by 47 · see citing works
Self-citationRepresenting spatial technology diffusion in an energy system optimization model
Leibowicz, B. D., Krey, V., & Grübler, A. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.06.001 · Cited by 40 · see citing works
Self-citationKey Factors Influencing Autonomous Vehicles’ Energy and Environmental Outcome
Morrow, W. R., Greenblatt, J. B., Sturges, A., Saxena, S., Gopal, A., Millstein, D. E., Shah, N., & Gilmore, E. (2014) · Lecture notes in mobility · doi:10.1007/978-3-319-05990-7_12 · Cited by 39 · see citing works
Gößling, S., Cohen, S., Higham, J. E. S., Peeters, P., & Eijgelaar, E. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.01.008 · Cited by 38 · see citing works
Coordinated EV Adoption: Double-Digit Reductions in Emissions and Fuel Use for $40/Vehicle-Year
Choi, D. G., Kreikebaum, F., Thomas, V. M., et al. (2013) · Environmental Science & Technology · doi:10.1021/es4016926 · Cited by 22 · see citing works
Coupling techno-economic energy models with behavioral approaches
Fragnière, E., Kanala, R., Moresino, F., Reveiu, A., & Smeureanu, I. (2016) · Operational Research · doi:10.1007/s12351-016-0246-9 · Cited by 22 · see citing works
Park, S., Kim, H., Kim, B., et al. (2018) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2018.03.007 · Cited by 20 · see citing works
Leibowicz, B. D. (2018) · The Electricity Journal · doi:10.1016/j.tej.2017.12.001 · Cited by 18 · see citing works
Self-citationSano, F., Wada, K., Akimoto, K., & Oda, J. (2013) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.11.002 · Cited by 11 · see citing works
Longden, T. (2014) · Energy Policy · doi:10.1016/j.enpol.2014.04.034 · Cited by 9 · see citing works
Craxton, M., Merrick, J., Makridis, C., & Taggart, J. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.07.003 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
Garrow, L. A., German, B. J., & Leonard, C. E. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2021.103377 · Cited by 488 · see citing works
Van Mierlo, J., Berecibar, M., El Baghdadi, M., De Cauwer, C., Messagie, M., Coosemans, T., Jacobs, V., & Hegazy, O. (2021) · World Electric Vehicle Journal · doi:10.3390/wevj12010020 · Cited by 149 · see citing works
Lithium Supply Chain Optimization: A Global Analysis of Critical Minerals for Batteries
Jones, E. C. (2024) · Energies · doi:10.3390/en17112685 · Cited by 41 · see citing works
Self-citationSheppard, C. J. R., Jenn, A. T., Greenblatt, J. B., Bauer, G. S., & Gerke, B. F. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c06655 · Cited by 39 · see citing works
Akhter, R., Palli, S. R., Walanjuwani, M., & Jones, E. C. (2026) · Commodities · doi:10.3390/commodities5010002 · Cited by 5 · see citing works
Self-citationJones, E. C. (2025) · Current Sustainable/Renewable Energy Reports · doi:10.1007/s40518-025-00256-x · Cited by 3 · see citing works
Self-citation
- Authors
- Jones, E. C., & Leibowicz, B. D.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Leibowicz, Benjamin D.
- Venue
- Transportation Research Part D Transport and Environment
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 72
- Pages
- 279-298
- ISSN
- 1361-9209 (ISSN-L)
- OpenAlex
- W2946570440
- Cited by
- 170
- References
- 56
- Citations by year
- 2026: 15 · 2025: 21 · 2024: 35 · 2023: 30 · 2022: 27 · 2021: 23 · 2020: 13 · 2019: 5 · 2016: 1
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part D Transport and Environment (publishedVersion)
- Funders
- Graduate Education for Minorities
- UT Energy Institute
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Keywords
- shared autonomous vehicles, climate change mitigation, greenhouse gas emissions, vehicle miles traveled, electric vehicle adoption, energy system optimization, carbon tax, travel demand
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review