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Modelling transport emissions in an uncertain future: What actions make a difference?
- Source :
-
Transportation Research Part D: Transport & Environment . Dec2020, Vol. 89, pN.PAG-N.PAG. 1p. - Publication Year :
- 2020
-
Abstract
- A range of technology and policy actions can be put in place to reduce carbon emissions from passenger cars, this paper aims to prioritise between them, based on their likely impact and uncertainty. Formal sensitivity analysis techniques are used for the first time to determine the relative importance of factors affecting future emissions from passenger vehicles in Great Britain. The two most important actions to limit future life-cycle CO 2 emissions involve shifting to electric vehicles and limiting trends towards larger and more powerful vehicles. According to our analysis over 80% of the uncertainty in future cumulative CO 2 emissions can be attributed to uncertainty in electric vehicle uptake and vehicle size and power. These variables are a priority for transport policy makers. The analysis also highlights variables of comparatively low importance; these include the share of hybrid electric vehicles, the Rebound Effect and the utilisation factor of PHEVs. • Sensitivity analysis is used to prioritise emissions reductions from passenger cars. • Sobol indices are applied to future transport emissions for the first time. • >80% of future uncertainty in CO 2 is from the uptake of EVs and vehicle size & power. • Increasing EV uptake and limiting vehicle size and power are important priorities. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13619209
- Volume :
- 89
- Database :
- Academic Search Index
- Journal :
- Transportation Research Part D: Transport & Environment
- Publication Type :
- Academic Journal
- Accession number :
- 147318430
- Full Text :
- https://doi.org/10.1016/j.trd.2020.102614