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Environmental impacts of enlarging the market share of electric vehicles

Author

Listed:
  • Daniel Wolf

    (TVES-Territoires Villes Environnement & Société
    CORE-Center for Operations Research and Econometrics)

  • Ngagne Diop

    (TVES-Territoires Villes Environnement & Société)

  • Moez Kilani

    (LEM-Lille Economie Management)

Abstract

We extend a multimodal transport model to simulate an increase of the market share of electric vehicles. The model, which is described in detail in Kilani et al. (Sustainability 14(3):1535, 2022), covers the north of France and includes both urban and intercity trips. It is a multi-agents simulation based on the MATsim framework and calibrated on observed traffic flows. We find that the emissions of pollutant gases decrease in comparable proportion to the market share of the electric vehicles. When only users with shorter trips switch to electric vehicles, the impact is limited and demand for charging stations is small since most users will charge by night at home. When the government is able to target users with longer trips, the impact can be higher by more than a factor of two. But, in this case, our model shows that it is important to increase the number of charging stations with an optimized deployment for their accessibility.

Suggested Citation

  • Daniel Wolf & Ngagne Diop & Moez Kilani, 2024. "Environmental impacts of enlarging the market share of electric vehicles," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 26(2), pages 219-238, April.
    • Handle: RePEc:spr:envpol:v:26:y:2024:i:2:d:10.1007_s10018-022-00350-0
    DOI: 10.1007/s10018-022-00350-0
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    References listed on IDEAS

    as
    1. Moez Kilani & Ngagne Diop & Daniel De Wolf, 2022. "A Multimodal Transport Model to Evaluate Transport Policies in the North of France," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    2. Benjamin Kickhöfer & Friederike Hülsmann & Regine Gerike & Kai Nagel, 2013. "Rising car user costs: comparing aggregated and geo-spatial impacts on travel demand and air pollutant emissions," Chapters, in: Thomas Vanoutrive & Ann Verhetsel (ed.), Smart Transport Networks, chapter 9, pages 180-207, Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Transport modeling and simulation; Electric vehicles; Deployment of charging stations; Local pollution; North of France; Spatial distribution; Decision support; CO $$_2$$ 2 emissions;
    All these keywords.

    JEL classification:

    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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