TY - JOUR
AU1 - Noshadravan, Arash
AU2 - Cheah, Lynette
AU3 - Roth, Richard
AU4 - Freire, Fausto
AU5 - Dias, Luis
AU6 - Gregory, Jeremy
AB - The probabilistic approach developed and applied in this study enables an understanding of the overall variation in GHG footprint for different technologies currently available in the US market and can be used for a comparative assessment. Results identify the main drivers of variation and shed light on scenarios under which the adoption of current EVs can be environmentally beneficial from a GHG emissions standpoint.
TI - Stochastic comparative assessment of life-cycle greenhouse gas emissions from conventional and electric vehicles
JF - The International Journal of Life Cycle Assessment
DO - 10.1007/s11367-015-0866-y
DA - 2015-03-18
UR - https://www.deepdyve.com/lp/springer-journals/stochastic-comparative-assessment-of-life-cycle-greenhouse-gas-XXBFb3DetL
SP - 854
EP - 864
VL - 20
IS - 6
DP - DeepDyve
ER -