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Cost-efficient scenarios for reaching transportation climate targets

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  • Börjesson, Maria
  • Eliasson, Jonas

Abstract

We explore cost-efficient scenarios for reaching climate targets for the transportation sectors in the EU and Sweden, covering both passenger and freight transport. Our focus is on the relative contributions to emissions reductions from electrification, biofuels and traffic reduction. Information about cost-efficient scenarios can serve as roadmaps to reach given targets. This is important not only for designing climate policies; it also has implications for traffic planning, biofuel production planning and the transformation of the vehicle manufacturing industry. Our results indicate that electrification is by far the most important factor for reaching the climate targets. With the recent EU vehicle regulations in place, it is possible to reach the climate targets at a moderate cost; with slow electrification, the long-run targets are virtually impossible to reach. Assuming that EU emission standards are binding, reaching the targets also requires considerable amounts of biofuel, especially in the short and medium term. Traffic reduction contributes only marginally to reduced emissions. Hence, other negative externalities from road traffic need to be handled by other policy measures; climate policy only makes a marginal contribution to reducing other traffic externalities.

Suggested Citation

  • Börjesson, Maria & Eliasson, Jonas, 2026. "Cost-efficient scenarios for reaching transportation climate targets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 204(C).
  • Handle: RePEc:eee:transa:v:204:y:2026:i:c:s0965856425004161
    DOI: 10.1016/j.tra.2025.104783
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    1. Chiaramonti, David & Talluri, Giacomo & Scarlat, Nicolae & Prussi, Matteo, 2021. "The challenge of forecasting the role of biofuel in EU transport decarbonisation at 2050: A meta-analysis review of published scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    2. Matos, Fernando J.F. & Silva, Francisco J.F., 2011. "The rebound effect on road freight transport: Empirical evidence from Portugal," Energy Policy, Elsevier, vol. 39(5), pages 2833-2841, May.
    3. Pavlovic, J. & Ciuffo, B. & Fontaras, G. & Valverde, V. & Marotta, A., 2018. "How much difference in type-approval CO2 emissions from passenger cars in Europe can be expected from changing to the new test procedure (NEDC vs. WLTP)?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 136-147.
    4. Girod, Bastien & van Vuuren, Detlef P. & de Vries, Bert, 2013. "Influence of travel behavior on global CO2 emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 50(C), pages 183-197.
    5. Gilles Duranton & Matthew A. Turner, 2011. "The Fundamental Law of Road Congestion: Evidence from US Cities," American Economic Review, American Economic Association, vol. 101(6), pages 2616-2652, October.
    6. Antonio M. Bento & Lawrence H. Goulder & Mark R. Jacobsen & Roger H. von Haefen, 2009. "Distributional and Efficiency Impacts of Increased US Gasoline Taxes," American Economic Review, American Economic Association, vol. 99(3), pages 667-699, June.
    7. Girod, Bastien & van Vuuren, Detlef P. & Deetman, Sebastiaan, 2012. "Global travel within the 2°C climate target," Energy Policy, Elsevier, vol. 45(C), pages 152-166.
    8. Zhang, Runsen & Fujimori, Shinichiro & Dai, Hancheng & Hanaoka, Tatsuya, 2018. "Contribution of the transport sector to climate change mitigation: Insights from a global passenger transport model coupled with a computable general equilibrium model," Applied Energy, Elsevier, vol. 211(C), pages 76-88.
    9. Berry, Carl & Börjesson, Maria, 2024. "Income and fuel price elasticities of car use on micro panel data," Energy Economics, Elsevier, vol. 135(C).
    10. Kyle, Page & Kim, Son H., 2011. "Long-term implications of alternative light-duty vehicle technologies for global greenhouse gas emissions and primary energy demands," Energy Policy, Elsevier, vol. 39(5), pages 3012-3024, May.
    11. De Borger, Bruno & Mulalic, Ismir, 2012. "The determinants of fuel use in the trucking industry—volume, fleet characteristics and the rebound effect," Transport Policy, Elsevier, vol. 24(C), pages 284-295.
    12. Bastien Girod & Detlef Vuuren & Maria Grahn & Alban Kitous & Son Kim & Page Kyle, 2013. "Climate impact of transportation A model comparison," Climatic Change, Springer, vol. 118(3), pages 595-608, June.
    13. Marshall, Stephen & Banister, David, 2000. "Travel reduction strategies: intentions and outcomes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 321-338, June.
    14. J.-F. Mercure & A. Lam & S. Billington & H. Pollitt, 2018. "Integrated assessment modelling as a positive science: private passenger road transport policies to meet a climate target well below 2 ∘C," Climatic Change, Springer, vol. 151(2), pages 109-129, November.
    15. Wardman, Mark & Toner, Jeremy & Fearnley, Nils & Flügel, Stefan & Killi, Marit, 2018. "Review and meta-analysis of inter-modal cross-elasticity evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 662-681.
    16. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," Energy Economics, Elsevier, vol. 34(2), pages 461-467.
    17. Dargay, Joyce, 2007. "The effect of prices and income on car travel in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 949-960, December.
    18. Graham-Rowe, Ella & Skippon, Stephen & Gardner, Benjamin & Abraham, Charles, 2011. "Can we reduce car use and, if so, how? A review of available evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(5), pages 401-418, June.
    19. De Borger, Bruno & Mulalic, Ismir & Rouwendal, Jan, 2016. "Measuring the rebound effect with micro data: A first difference approach," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 1-17.
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    Keywords

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    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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