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Is the Green Wave Really Green? The Risks of Rebound Effects When Implementing “Green” Policies

Author

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  • Elisabeth Bloder

    (Institute of Systems Sciences, Innovation and Sustainability Research, University of Graz, 8010 Graz, Austria)

  • Georg Jäger

    (Institute of Systems Sciences, Innovation and Sustainability Research, University of Graz, 8010 Graz, Austria)

Abstract

Traffic and transportation are main contributors to the global CO 2 emissions and resulting climate change. Especially in urban areas, traffic flow is not optimal and thus offers possibilities to reduce emissions. The concept of a Green Wave, i.e., the coordinated switching of traffic lights in order to favor a single direction and reduce congestion, is often discussed as a simple mechanism to avoid breaking and accelerating, thereby reducing fuel consumption. On the other hand, making car use more attractive might also increase emissions. In this study, we use an agent-based model to investigate the benefit of a Green Wave in order to find out whether it can outweigh the effects of increased car use. We find that although the Green Wave has the potential to reduce emissions, there is also a high risk of heaving a net increase in emissions, depending on the specifics of the traffic system.

Suggested Citation

  • Elisabeth Bloder & Georg Jäger, 2021. "Is the Green Wave Really Green? The Risks of Rebound Effects When Implementing “Green” Policies," Sustainability, MDPI, vol. 13(10), pages 1-11, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:10:p:5411-:d:553163
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    References listed on IDEAS

    as
    1. Dirk-Jan van de Ven & Mikel González-Eguino & Iñaki Arto, 2018. "The potential of behavioural change for climate change mitigation: a case study for the European Union," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(6), pages 853-886, August.
    2. Nagatani, Takashi, 2007. "Vehicular traffic through a self-similar sequence of traffic lights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 381-387.
    3. Nagatani, Takashi, 2007. "Vehicular traffic through a sequence of green-wave lights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 503-511.
    4. Barth, Matthew & Younglove, Theodore & Scora, George, 2005. "Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt67f0v3zf, Institute of Transportation Studies, UC Berkeley.
    5. Anna Laura Huckelba & Paul A. M. Van Lange, 2020. "The Silent Killer: Consequences of Climate Change and How to Survive Past the Year 2050," Sustainability, MDPI, vol. 12(9), pages 1-22, May.
    6. Bigazzi, Alexander, 2019. "Comparison of marginal and average emission factors for passenger transportation modes," Applied Energy, Elsevier, vol. 242(C), pages 1460-1466.
    7. Martin Fellendorf & Peter Vortisch, 2010. "Microscopic Traffic Flow Simulator VISSIM," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 63-93, Springer.
    8. Sasaki, Masashi & Nagatani, Takashi, 2003. "Transition and saturation of traffic flow controlled by traffic lights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(3), pages 531-546.
    9. Nagatani, Takashi, 2007. "Clustering and maximal flow in vehicular traffic through a sequence of traffic lights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(2), pages 651-660.
    10. Lukas Burs & Ellen Roemer & Stefan Worm & Andrea Masini, 2020. "Are They All Equal? Uncovering Adopter Groups of Battery Electric Vehicles," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
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