The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
A Review on Energy, Environmental, and Sustainability Implications of Connected and Automated Vehicles
Open accessAbstract
Connected and automated vehicles (CAVs) are poised to reshape transportation and mobility by replacing humans as the driver and service provider. While the primary stated motivation for vehicle automation is to improve safety and convenience of road mobility, this transformation also provides a valuable opportunity to improve vehicle energy efficiency and reduce emissions in the transportation sector. Progress in vehicle efficiency and functionality, however, does not necessarily translate to net positive environmental outcomes. Here, we examine the interactions between CAV technology and the environment at four levels of increasing complexity: vehicle, transportation system, urban system, and society. We find that environmental impacts come from CAV-facilitated transformations at all four levels, rather than from CAV technology directly. We anticipate net positive environmental impacts at the vehicle, transportation system, and urban system levels, but expect greater vehicle utilization and shifts in travel patterns at the society level to offset some of these benefits. Focusing on the vehicle-level improvements associated with CAV technology is likely to yield excessively optimistic estimates of environmental benefits. Future research and policy efforts should strive to clarify the extent and possible synergetic effects from a systems level to envisage and address concerns regarding the short- and long-term sustainable adoption of CAV technology.
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Cites
US Environmental Protection Agency
(1998) · Choice Reviews Online · doi:10.5860/choice.35-4455 · Cited by 5,897
Change, I. P. O. C. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415416 · Cited by 4,693
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
Kyriakidis, M., Happee, R., & de Winter, J. C. F. (2015) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2015.04.014 · Cited by 1,383
On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment
Alonso-Mora, J., Samaranayake, S., Wallar, A., Frazzoli, E., & Rus, D. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611675114 · Cited by 1,186
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
Assessing public opinions of and interest in new vehicle technologies: An Austin perspective
Bansal, P., Kockelman, K. M., & Singh, A. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.01.019 · Cited by 1,025
Worldwide electricity used in data centers
Koomey, J. G. (2008) · Environmental Research Letters · doi:10.1088/1748-9326/3/3/034008 · Cited by 972
Milakis, D., van Arem, B., & van Wee, B. (2017) · Journal of Intelligent Transportation Systems · doi:10.1080/15472450.2017.1291351 · Cited by 963
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
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Stern, R. E., Cui, S., Delle Monache, M. L., Bhadani, R., Bunting, M., Churchill, M., Hamilton, N., Haulcy, R., Pohlmann, H., Wu, F., et al. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.02.005 · Cited by 800
Quantifying the benefits of vehicle pooling with shareability networks
Santi, P., Resta, G., Szell, M., Sobolevsky, S., Strogatz, S. H., & Ratti, C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403657111 · Cited by 745
Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies
Bansal, P., & Kockelman, K. M. (2017) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2016.10.013 · Cited by 731
Autonomous Vehicle Technology: A Guide for Policymakers
Anderson, J., Kalra, N., Stanley, K., Sorensen, P., Samaras, C., & Oluwatola, O. (2016) · doi:10.7249/rr443-2 · Cited by 653
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
Energy and emissions impacts of a freeway-based dynamic eco-driving system
Barth, M., & Boriboonsomsin, K. (2009) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2009.01.004 · Cited by 603
Offer, G. J., Howey, D., Contestabile, M., Clague, R., & Brandon, N. P. (2010) · Energy Policy · doi:10.1016/j.enpol.2009.08.040 · Cited by 593
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
Clewlow, R., & Mishra, G. S. (2017) · RePEc: Research Papers in Economics · Cited by 558
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
A review of wireless power transfer for electric vehicles: Prospects to enhance sustainable mobility
Bi, Z., Kan, T., Mi, C. C., Zhang, Y., Zhao, Z., & Keoleian, G. A. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.07.003 · Cited by 485
Harper, C. D., Hendrickson, C. T., Mangones, S., & Samaras, C. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.09.003 · Cited by 450
Zhang, W., Guhathakurta, S., Fang, J., & Zhang, G. (2015) · Sustainable Cities and Society · doi:10.1016/j.scs.2015.07.006 · Cited by 422
Users’ resistance towards radical innovations: The case of the self-driving car
König, M., & Neumayr, L. (2017) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2016.10.013 · Cited by 421
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
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
Malikopoulos, A. A., Cassandras, C. G., & Zhang, Y. (2018) · Automatica · doi:10.1016/j.automatica.2018.03.056 · Cited by 388
The rebound effect is overplayed
Gillingham, K., Kotchen, M. J., Rapson, D. S., & Wagner, G. (2013) · Nature · doi:10.1038/493475a · Cited by 377
Mahmassani, H. S. (2016) · Transportation Science · doi:10.1287/trsc.2016.0712 · Cited by 334
Using an Activity-Based Model to Explore the Potential Impacts of Automated Vehicles
Childress, S., Nichols, B., Charlton, B., & Coe, S. (2015) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2493-11 · Cited by 319
Environmental effects of information and communications technologies
Williams, E. (2011) · Nature · doi:10.1038/nature10682 · Cited by 304
Yap, M. D., Correia, G., & van Arem, B. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2016.09.003 · Cited by 300
Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles
On-Road Automated Driving (ORAD) Committee (2017) · doi:10.4271/j3016_201609 · Cited by 293
Valuation of plug-in vehicle life-cycle air emissions and oil displacement benefits
Michalek, J. J., Chester, M., Jaramillo, P., Samaras, C., Shiau, C.-S. N., & Lave, L. B. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1104473108 · Cited by 278
Sovacool, B. K., Noel, L., Axsen, J., & Kempton, W. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aa9c6d · Cited by 268
A Microeconomic Framework for Evaluating Energy Efficiency Rebound And Some Implications
Borenstein, S. (2013) · The Energy Journal · doi:10.3386/w19044 · Cited by 247
Levin, M. W., Kockelman, K. M., Boyles, S. D., & Li, T. (2017) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2017.04.006 · Cited by 232
Loeb, B., Kockelman, K. M., & Liu, J. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.01.019 · Cited by 224
An Analysis of Possible Energy Impacts of Automated Vehicles
Brown, A., Gonder, J., & Repac, B. (2014) · Lecture Notes in Mobility · doi:10.1007/978-3-319-05990-7_13 · Cited by 217
Self-citationGawron, J. H., Keoleian, G. A., De Kleine, R. D., Wallington, T. J., & Kim, H. C. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.7b04576 · Cited by 217
Fully automated vehicles: A cost of ownership analysis to inform early adoption
Wadud, Z. (2017) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2017.05.005 · Cited by 206
Self-driving cars will change cities
Zakharenko, R. (2016) · Regional Science and Urban Economics · doi:10.1016/j.regsciurbeco.2016.09.003 · Cited by 205
Management of a Shared Autonomous Electric Vehicle Fleet: Implications of Pricing Schemes
Chen, T. D., & Kockelman, K. M. (2016) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2572-05 · Cited by 203
Cost, Energy, and Environmental Impact of Automated Electric Taxi Fleets in Manhattan
Bauer, G. S., Greenblatt, J. B., & Gerke, B. F. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.7b04732 · Cited by 195
Crayton, T. J., & Meier, B. M. (2017) · Journal of Transport & Health · doi:10.1016/j.jth.2017.04.004 · Cited by 181
The implications of the sharing economy for transport
Standing, C., Standing, S., & Biermann, S. (2019) · Transport Reviews · doi:10.1080/01441647.2018.1450307 · Cited by 181
Parking spaces in the age of shared autonomous vehicles: how much parking will we need and where?
Zhang, W., & Guhathakurta, S. (2017) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2651-09 · Cited by 180
The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation
Zhang, W., Guhathakurta, S., & Khalil, E. B. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.03.005 · Cited by 180
Lewis, A. M., Kelly, J. C., & Keoleian, G. A. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.03.023 · Cited by 178
Known unknowns: Indirect energy effects of information and communication technology
Horner, N. C., Shehabi, A., & Azevedo, I. L. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/10/103001 · Cited by 177
Fuel economy testing of autonomous vehicles
Mersky, A. C., & Samaras, C. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.01.001 · Cited by 176
Designing parking facilities for autonomous vehicles
Nourinejad, M., Bahrami, S., & Roorda, M. J. (2018) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2017.12.017 · Cited by 163
Results and issues of an automated truck platoon within the energy ITS project
Tsugawa, S. (2014) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2014.6856400 · Cited by 148
National Renewable Energy Lab. (NREL), G., Stephens, T., Vehicle Technologies Office (EE-3V) USDOE Office of Energy Efficiency and Renewable Energy (EERE), Gonder, J. D., Chen, Y., Lin, Z., Liu, C., & Gohlke, D. (2016) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.2172/1334242 · Cited by 126
Delucchi, M. A., Yang, C., Burke, A. F., Ogden, J. M., Kurani, K. S., Kessler, J., & Sperling, D. (2013) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2012.0325 · Cited by 123
Analysis of the Effects of Connected–Automated Vehicle Technologies on Travel Demand
Auld, J., Sokolov, V., & Stephens, T. (2017) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2625-01 · Cited by 122
Quantifying autonomous vehicles national fuel consumption impacts: A data-rich approach
Chen, Y., Gonder, J. D., Young, S. E., & Wood, E. W. (2017) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2017.10.012 · Cited by 103
Parking infrastructure: energy, emissions, and automobile life-cycle environmental accounting
Chester, M., Horvath, A., & Madanat, S. M. (2010) · Environmental Research Letters · doi:10.1088/1748-9326/5/3/034001 · Cited by 95
Moorthy, A., De Kleine, R., Keoleian, G., Good, J., & Lewis, G. (2017) · SAE International Journal of Passenger Cars - Electronic and Electrical Systems · doi:10.4271/2017-01-1276 · Cited by 93
Kim, H. C., Wallington, T. J., Sullivan, J. L., & Keoleian, G. A. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b01655 · Cited by 91
Autonomous Electric Vehicle Sharing System Design
Kang, N., Feinberg, F. M., & Papalambros, P. Y. (2016) · Journal of Mechanical Design · doi:10.1115/1.4034471 · Cited by 86
Numerical and Experimental Investigation on Vehicles in Platoon
Schito, P., & Braghin, F. (2012) · SAE International journal of commercial vehicles · doi:10.4271/2012-01-0175 · Cited by 80
Meyer, G., & Shaheen, S. (2017) · Lecture notes in mobility · doi:10.1007/978-3-319-51602-8 · Cited by 75
Sustainability implications of connected and autonomous vehicles for the food supply chain
Heard, B. R., Taiebat, M., Xu, M., & Miller, S. A. (2017) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2017.09.021 · Cited by 74
Self-citationAutonomous or driver-less vehicles: Implementation strategies and operational concerns
Masoud, N., & Jayakrishnan, R. (2017) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2017.10.011 · Cited by 70
Noruzoliaee, M., Zou, B., & Liu, Y. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.03.014 · Cited by 69
Automated Truck Platoon Control and Field Test
Lu, X., & Shladover, S. E. (2014) · Lecture notes in mobility · doi:10.1007/978-3-319-05990-7_21 · Cited by 63
Lu, M., Taiebat, M., Xu, M., & Hsu, S.-C. (2018) · Journal of Urban Planning and Development · doi:10.1061/(asce)up.1943-5444.0000469 · Cited by 62
Self-citationAdvanced Urban Transport: Automation Is on the Way
Parent, M. (2007) · IEEE Intelligent Systems · doi:10.1109/mis.2007.20 · Cited by 60
LaMondia, J. J., Fagnant, D. J., Qu, H., Barrett, J., & Kockelman, K. (2016) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2566-01 · Cited by 59
The Environmental Impact of Autonomous Vehicles Depends on Adoption Patterns
Miller, S. A., & Heard, B. R. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b02490 · Cited by 57
Emission Mitigation via Longitudinal Control of Intelligent Vehicles in a Congested Platoon
Wang, Z., Chen, X. M., Ouyang, Y., & Li, M. (2015) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12130 · Cited by 54
Fulton, L., Mason, J., & Meroux, D. (2017) · Cited by 51
Understanding the socioeconomic adoption scenarios for autonomous vehicles: A literature review
Clark, B., Parkhurst, G. P., & Ricci, M. (2016) · UWE Research Repository (UWE Bristol) · Cited by 50
Zhang, W., Guhathakurta, S., Fang, J., & Zhang, G. (2015) · Transportation Research Board 94th Annual MeetingTransportation Research Board · Cited by 47
Automated vehicles and electrification of transport
Offer, G. J. (2014) · Energy & Environmental Science · doi:10.1039/c4ee02229g · Cited by 45
Agent-based simulation of autonomous cars
Bösch, P. M., & Ciari, F. (2015) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2015.7171123 · Cited by 43
Key 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 41
Fox-Penner, P. S., Gorman, W., & Hatch, J. (2018) · Energy Policy · doi:10.1016/j.enpol.2018.07.033 · Cited by 38
Energy and Autonomous Urban Land Vehicles
Folsom, T. C. (2012) · IEEE Technology and Society Magazine · doi:10.1109/mts.2012.2196339 · Cited by 35
Vehicle Automation and Its Potential Impacts on Energy and Emissions
Barth, M., Boriboonsomsin, K., & Wu, G. (2014) · Lecture notes in mobility · doi:10.1007/978-3-319-05990-7_10 · Cited by 28
Predicting Light-Duty Vehicle Fuel Economy as a Function of Highway Speed
Thomas, J. F., Hwang, H., West, B. H., & Huff, S. (2013) · SAE International Journal of Passenger Cars - Mechanical Systems · doi:10.4271/2013-01-1113 · Cited by 22
Fuel consumption impacts of auto roof racks
Chen, Y., & Meier, A. (2016) · Energy Policy · doi:10.1016/j.enpol.2016.02.031 · Cited by 22
(2014) · Cited by 20
Can Transportation Emission Reductions Be Achieved Autonomously?
Simon, K., Alson, J., Snapp, L., & Hula, A. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b05396 · Cited by 9
Emerging Strategies in Mileage-Based User Fees
Sorensen, P. A., Ecola, L., & Wachs, M. (2013) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/2345-05 · Cited by 6
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Lu, M., Taiebat, M., Xu, M., & Hsu, S.-C. (2018) · Journal of Urban Planning and Development · doi:10.1061/(asce)up.1943-5444.0000469 · Cited by 62
Self-citationAir quality and greenhouse gas implications of autonomous vehicles in Vancouver Canada
Le Hong, Z., & Zimmerman, N. (2021) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2020.102676 · Cited by 54
The Role of Pickup Truck Electrification in the Decarbonization of Light-Duty Vehicles
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Addressing EU climate targets: Reducing CO2 emissions using cooperative and automated vehicles
Pribyl, O., Blokpoel, R., & Matowicki, M. (2020) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2020.102437 · Cited by 41
Metadata
- Authors
- Taiebat, M., Brown, A. L., Safford, H. R., Qu, S., & Xu, M.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-09-26
- Volume
- 52
- Issue
- 20
- Pages
- 11449-11465
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2890108670
- Cited by
- 334
- References
- 86
- FWCI
- 16.82
- Type
- journal article
- Language
- en
- Open access
- hybrid
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