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Low emission zones: Effects on alternative-fuel vehicle uptake and fleet CO2 emissions

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  • Jens F. Peters
  • Mercedes Burguillo
  • Jose M. Arranz

Abstract

This study analyses the actual effect of a representative low-emission zone (LEZ) in terms of shifting vehicle registrations towards alternative fuel technologies and its effectiveness for reducing vehicle fleet CO2 emissions. Vehicle registration data is combined with real life fuel consumption values on individual vehicle model level, and the impact of the LEZ is then determined via an econometric approach. The increase in alternative fuel vehicles (AFV) registration shares due to the LEZ is found to be significant but fosters rather fossil fuel powered AFV and plug-in hybrid electric vehicles than zero emission vehicles. This is reflected in the average CO2 emissions of newly registered vehicles, which do not decrease significantly. In consequence, while the LEZ is an effective measure for stimulating the shift towards low emission vehicles, the support of non-electric AFV as low emission vehicles jeopardizes its effectiveness for decarbonizing the vehicle fleet.

Suggested Citation

  • Jens F. Peters & Mercedes Burguillo & Jose M. Arranz, 2021. "Low emission zones: Effects on alternative-fuel vehicle uptake and fleet CO2 emissions," Papers 2103.13801, arXiv.org, revised May 2021.
    • Handle: RePEc:arx:papers:2103.13801
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    File URL: http://arxiv.org/pdf/2103.13801
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    References listed on IDEAS

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    1. Daniel Albalate, 2008. "Lowering blood alcohol content levels to save lives: The European experience," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 20-39.
    2. Tietge, Uwe & Mock, Peter & Franco, Vicente & Zacharof, Nikiforos, 2017. "From laboratory to road: Modeling the divergence between official and real-world fuel consumption and CO2 emission values in the German passenger car market for the years 2001–2014," Energy Policy, Elsevier, vol. 103(C), pages 212-222.
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    Cited by:

    1. Okeleye, Samuel Adeola & Thiruvengadam, Arvind & Perhinschi, Mario G. & Carder, Daniel, 2024. "Data-driven machine learning model of a Selective Catalytic Reduction on Filter (SCRF) in a heavy-duty diesel engine: A comparison of Artificial Neural Network with Tree-based algorithms," Energy, Elsevier, vol. 290(C).
    2. Prieto-Rodriguez, Juan & Perez-Villadoniga, Maria J. & Salas, Rafael & Russo, Ana, 2022. "Impact of London Toxicity Charge and Ultra Low Emission Zone on NO2," Transport Policy, Elsevier, vol. 129(C), pages 237-247.
    3. Ceccato, Riccardo & Rossi, Riccardo & Gastaldi, Massimiliano, 2024. "Low emission zone and mobility behavior: Ex-ante evaluation of vehicle pollutant emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    4. Krystian Pietrzak & Oliwia Pietrzak & Andrzej Montwiłł, 2021. "Effects of Incorporating Rail Transport into a Zero-Emission Urban Deliveries System: Application of Light Freight Railway (LFR) Electric Trains," Energies, MDPI, vol. 14(20), pages 1-24, October.

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