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Comprehensive evaluation of energy conservation and emission reduction policies

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  • Litman, Todd

Abstract

Various transportation policies can help conserve energy and reduce pollution emissions. Some, called cleaner vehicle strategies in this article, reduce emission rates per vehicle-kilometer. Others, called mobility management (also called transportation demand management) strategies, reduce total vehicle travel. There is disagreement concerning which approach is best overall. Some studies conclude that cleaner vehicle strategies are generally most cost effective and beneficial, while others favor mobility management strategies. These different conclusions tend to reflect different analysis scope. Analyses that favor clean vehicle strategies tend to overlook or undervalue some significant impacts including cleaner vehicle rebound effects and mobility management co-benefits. More comprehensive analysis tends to favor mobility management. This article investigates these issues and provides specific recommendations for comprehensive evaluation.

Suggested Citation

  • Litman, Todd, 2013. "Comprehensive evaluation of energy conservation and emission reduction policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 153-166.
  • Handle: RePEc:eee:transa:v:47:y:2013:i:c:p:153-166
    DOI: 10.1016/j.tra.2012.10.022
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    Cited by:

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    2. Bishop, Justin D.K. & Martin, Niall P.D. & Boies, Adam M., 2016. "Quantifying the role of vehicle size, powertrain technology, activity and consumer behaviour on new UK passenger vehicle fleet energy use and emissions under different policy objectives," Applied Energy, Elsevier, vol. 180(C), pages 196-212.
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    4. Sofia, Daniele & Gioiella, Filomena & Lotrecchiano, Nicoletta & Giuliano, Aristide, 2020. "Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy," Energy Policy, Elsevier, vol. 137(C).
    5. Farid, Amro M. & Jiang, Bo & Muzhikyan, Aramazd & Youcef-Toumi, Kamal, 2016. "The need for holistic enterprise control assessment methods for the future electricity grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 669-685.
    6. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    7. Wang, Yihan & Chen, Chen & Tao, Yuan & Wen, Zongguo & Chen, Bin & Zhang, Hong, 2019. "A many-objective optimization of industrial environmental management using NSGA-III: A case of China’s iron and steel industry," Applied Energy, Elsevier, vol. 242(C), pages 46-56.
    8. Dedinec, Aleksandar & Markovska, Natasa & Taseska, Verica & Duic, Neven & Kanevce, Gligor, 2013. "Assessment of climate change mitigation potential of the Macedonian transport sector," Energy, Elsevier, vol. 57(C), pages 177-187.

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