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Assessing the energy and greenhouse gas emissions mitigation effectiveness of potential US modal freight policies

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  • Nealer, Rachael
  • Matthews, H. Scott
  • Hendrickson, Chris
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    Abstract

    This paper estimates the total embodied energy and emissions modal freight requirements across the supply chain for each of over 400 sectors using Bureau of Transportation Statistics Commodity Flow Survey data and Bureau of Economic Analysis economic input–output tables for 2002. Across all sectors, direct domestic truck and rail transportation are similar in magnitude for embodied freight transportation of goods and services in terms of ton-km. However, the sectors differ significantly in energy consumption, greenhouse gas emissions, and costs per ton-km. Recent pressure to reduce energy consumption and emissions has motivated a search for more efficient freight mode choices. One solution would be to shift freight transportation away from modes that require more energy and emit more (e.g., truck) to modes that consume and emit less (e.g., rail and water).

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 46 (2012)
    Issue (Month): 3 ()
    Pages: 588-601

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    Handle: RePEc:eee:transa:v:46:y:2012:i:3:p:588-601

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    Related research

    Keywords: Freight movement policy; Energy and emissions; Modal choice; Supply chain; Input–output analysis;

    References

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    1. Sathaye, Nakul & Horvath, Arpad & Madanat, Samer, 2010. "Unintended impacts of increased truck loads on pavement supply-chain emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 1-15, January.
    2. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-71, August.
    3. Stepp, Matthew D. & Winebrake, James J. & Hawker, J. Scott & Skerlos, Steven J., 2009. "Greenhouse gas mitigation policies and the transportation sector: The role of feedback effects on policy effectiveness," Energy Policy, Elsevier, vol. 37(7), pages 2774-2787, July.
    4. Tsamboulas, Dimitrios & Vrenken, Huub & Lekka, Anna-Maria, 2007. "Assessment of a transport policy potential for intermodal mode shift on a European scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 715-733, October.
    5. Nealer, Rachael & Weber, Christopher L. & Hendrickson, Chris & Scott Matthews, H., 2011. "Modal freight transport required for production of US goods and services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(4), pages 474-489, July.
    6. Kocoloski, Matt & Michael Griffin, W. & Scott Matthews, H., 2011. "Impacts of facility size and location decisions on ethanol production cost," Energy Policy, Elsevier, vol. 39(1), pages 47-56, January.
    7. Karen J. Horowitz & Mark A. Planting, 2006. "Concepts and Methods of the U.S. Input-Output Accounts," BEA Papers 0066, Bureau of Economic Analysis.
    8. Oecd, 2008. "Transport Outlook 2008: Focusing on CO2 Emissions from Road Vehicles," OECD/ITF Joint Transport Research Centre Discussion Papers 2008/13, OECD Publishing.
    9. Forkenbrock, David J., 1999. "External costs of intercity truck freight transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 505-526.
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    Cited by:
    1. Guerrero, Sebastian E. & Madanat, Samer M. & Leachman, Robert C., 2013. "The Trucking Sector Optimization Model: A tool for predicting carrier and shipper responses to policies aiming to reduce GHG emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 85-107.

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