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  • Yeh, Sonia,1973Chalmers tekniska högskola,Chalmers University of Technology (författare)

Detailed assessment of global transport-energy models' structures and projections

  • Artikel/kapitelEngelska2017

Förlag, utgivningsår, omfång ...

  • Elsevier BV,2017

Nummerbeteckningar

  • LIBRIS-ID:oai:research.chalmers.se:28211046-94c5-4067-acc8-46baf6375a18
  • https://doi.org/10.1016/j.trd.2016.11.001DOI
  • https://research.chalmers.se/publication/247930URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:art swepub-publicationtype
  • Ämneskategori:ref swepub-contenttype

Anmärkningar

  • This paper focuses on comparing the frameworks and projections from four global transportation models with considerable technology details. We analyze and compare the modeling frameworks, underlying data, assumptions, intermediate parameters, and projections to identify the sources of divergence or consistency, as well as key knowledge gaps. We find that there are significant differences in the base-year data and key parameters for future projections, especially for developing countries. These include passenger and freight activity, mode shares, vehicle ownership rates, and energy consumption by mode, particularly for shipping, aviation and trucking. This may be due in part to a lack of previous efforts to do such consistency-checking and "bench-marking." We find that the four models differ in terms of the relative roles of various mitigation strategies to achieve a 2. °C/450. ppm target: the economics-based integrated assessment models favor the use of low carbon fuels as the primary mitigation option followed by efficiency improvements, whereas transport-only and expert-based models favor efficiency improvements of vehicles followed by mode shifts. We offer recommendations for future modeling improvements focusing on (1) reducing data gaps; (2) translating the findings from this study into relevant policy implications such as gaps of current policy goals, additional policy targets needed, regional vs. global reductions; (3) modeling strata of demographic groups to improve understanding of vehicle ownership levels, travel behavior, and urban vs. rural considerations; and (4) conducting coordinated efforts in aligning historical data, and comparing input assumptions and results of policy analysis and modeling insights.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Mishra, G.S.Stanford University,University of California (författare)
  • Fulton, L.University of California (författare)
  • Kyle, P.Pacific Northwest National Laboratory (författare)
  • McCollum, D.L.Internationales Institut fuer Angewandte Systemanalyse,International Institute for Applied Systems Analysis,University of Tennessee (författare)
  • Miller, J. (författare)
  • Cazzola, P.International Energy Agency (författare)
  • Teter, J.International Energy Agency (författare)
  • Chalmers tekniska högskolaStanford University (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Transportation Research Part D: Transport and Environment: Elsevier BV55, s. 294-3091361-9209

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