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Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles

Author

Listed:
  • Nuri C. Onat

    (Qatar University)

  • Jafar Mandouri

    (Qatar University
    Qatar University)

  • Murat Kucukvar

    (University of Denver)

  • Burak Sen

    (Sakarya University)

  • Saddam A. Abbasi

    (Qatar University
    Qatar University)

  • Wael Alhajyaseen

    (Qatar University
    Qatar University)

  • Adeeb A. Kutty

    (Qatar University)

  • Rateb Jabbar

    (Qatar University)

  • Marcello Contestabile

    (Hamad Bin Khalifa University, Qatar Foundation
    Centre for Environmental Policy)

  • Abdel Magid Hamouda

    (Qatar University)

Abstract

Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In this study, we investigate tradeoffs between improved fuel economy and rebound effects from a life-cycle perspective. Our results show that autonomy introduces an average 21.2% decrease in operation phase emissions due to improved fuel economy while manufacturing phase emissions can surge up to 40%. Recycling efforts can offset this increase, cutting emissions by 6.65 tons of Carbon dioxide equivalent per vehicle. However, when examining the entire life cycle, autonomous electric vehicles might emit 8% more greenhouse gas emissions on average compared to nonautonomous electric vehicles. To address this, we suggest; (1) cleaner and more efficient manufacturing technologies, (2) ongoing fuel efficiency improvements in autonomous driving; (3) renewable energy adoption for charging, and (4) circular economy initiatives targeting the complete life cycle.

Suggested Citation

  • Nuri C. Onat & Jafar Mandouri & Murat Kucukvar & Burak Sen & Saddam A. Abbasi & Wael Alhajyaseen & Adeeb A. Kutty & Rateb Jabbar & Marcello Contestabile & Abdel Magid Hamouda, 2023. "Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41992-2
    DOI: 10.1038/s41467-023-41992-2
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    1. Bijoy Saha & Mahmudur Rahman Fatmi, 2021. "Simulating the Impacts of Hybrid Campus and Autonomous Electric Vehicles as GHG Mitigation Strategies: A Case Study for a Mid-Size Canadian Post-Secondary School," Sustainability, MDPI, vol. 13(22), pages 1-14, November.
    2. Meyer, Jonas & Becker, Henrik & Bösch, Patrick M. & Axhausen, Kay W., 2017. "Autonomous vehicles: The next jump in accessibilities?," Research in Transportation Economics, Elsevier, vol. 62(C), pages 80-91.
    3. Hache, Emmanuel & Seck, Gondia Sokhna & Simoen, Marine & Bonnet, Clément & Carcanague, Samuel, 2019. "Critical raw materials and transportation sector electrification: A detailed bottom-up analysis in world transport," Applied Energy, Elsevier, vol. 240(C), pages 6-25.
    4. Nuri Cihat Onat & Murat Kucukvar & Anthony Halog & Scott Cloutier, 2017. "Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives," Sustainability, MDPI, vol. 9(5), pages 1-25, April.
    5. Jeffery B. Greenblatt & Samveg Saxena, 2015. "Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles," Nature Climate Change, Nature, vol. 5(9), pages 860-863, September.
    6. Morteza Taiebat & Samuel Stolper & Ming Xu, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use A Microeconomic Study of Induced Travel and Energy Rebound," Papers 1902.00382, arXiv.org, revised May 2019.
    7. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    8. Hauke Ward & Leonie Wenz & Jan C. Steckel & Jan C. Minx, 2018. "Truncation Error Estimates in Process Life Cycle Assessment Using Input‐Output Analysis," Journal of Industrial Ecology, Yale University, vol. 22(5), pages 1080-1091, October.
    9. Moneim Massar & Imran Reza & Syed Masiur Rahman & Sheikh Muhammad Habib Abdullah & Arshad Jamal & Fahad Saleh Al-Ismail, 2021. "Impacts of Autonomous Vehicles on Greenhouse Gas Emissions—Positive or Negative?," IJERPH, MDPI, vol. 18(11), pages 1-23, May.
    10. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound," Applied Energy, Elsevier, vol. 247(C), pages 297-308.
    11. Florian Knobloch & Steef V. Hanssen & Aileen Lam & Hector Pollitt & Pablo Salas & Unnada Chewpreecha & Mark A. J. Huijbregts & Jean-Francois Mercure, 2020. "Net emission reductions from electric cars and heat pumps in 59 world regions over time," Nature Sustainability, Nature, vol. 3(6), pages 437-447, June.
    12. Taiebat, Morteza & Stolper, Samuel & Xu, Ming, 2019. "Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound," LawArXiv dk6qv, Center for Open Science.
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    Cited by:

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