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Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation

Author
DAZIANO, Ricardo A1 ; CHIEW, Esther1
[1] School of Civil and Environmental Engineering, 305 Hollister Hall, CEE, Cornell University, Ithaca, NY 14853, United States
Source

Energy policy. 2012, Vol 51, pp 876-894, 19 p ; ref : 1 p.3/4

CODEN
ENPYAC
ISSN
0301-4215
Scientific domain
Energy; Environment
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Discrete choice models Endogenous latent attributes Ultra-low-emission vehicles
Keyword (fr)
Choix discret Comportement consommateur Demande Facteur socioéconomique Lutte antipollution Pollution air Prise de décision Préférence Prévention pollution Véhicule électrique
Keyword (en)
Discrete choice Consumer behavior Demand Socioeconomic factor Pollution control Air pollution Decision making Preference Pollution prevention Electric vehicle
Keyword (es)
Selección discreta Comportamiento consumidor Petición Factor socioeconómico Lucha anticontaminación Contaminación aire Toma decision Preferencia Prevención polución Vehículo eléctrico
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01A Methodology. Modelling

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06A General, economic and professional studies / 001D06A01 Energy economics / 001D06A01B Energy policy

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D15 Ground, air and sea transportation, marine construction / 001D15B Transportation planning, management and economics

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D15 Ground, air and sea transportation, marine construction / 001D15C Road transportation and traffic

Discipline
Building. Public works. Transport. Civil engineering Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
26615802

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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