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ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
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ZENODO
Software . 2019
Data sources: Datacite
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The Fleet Life Cycle Assessment and Material-Flow Estimation (FLAME) model

Authors: Milovanoff, Alexandre;

The Fleet Life Cycle Assessment and Material-Flow Estimation (FLAME) model

Abstract

First release of the Fleet Life Cycle Assessment and Material-Flow Estimation (FLAME) model associated with the paper "A dynamic fleet model of U.S light-duty vehicle lightweighting and associated greenhouse gas emissions from 2016-2050" published in Environmental Science and Technology in 2019 by Alexandre Milovanoff (a), Hyung Chul Kim (b), Robert De Kleine (b), Timothy J. Wallington (b), I. Daniel Posen (a), Heather L. MacLean (a,c). (a) Department of Civil & Mineral Engineering, University of Toronto, 35 St. George Street, Toronto, Ontario, M5S 1A4 Canada (b) Materials & Manufacturing R&A Department, Ford Motor Company, Dearborn, Michigan 48121-2053, United States (c) Department of Chemical Engineering & Applied Chemistry, University of Toronto, 200 College Street, Toronto, Ontario, M5S 3E5 Canada

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Keywords

Light-duty vehicles, Climate Change, Life Cycle Assessment

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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