Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Forecasting the demand for electric vehicles: accounting for attitudes and perceptions
 
research article

Forecasting the demand for electric vehicles: accounting for attitudes and perceptions

Glerum, Aurélie  
•
Stankovikj, Lidija
•
Thémans, Michaël  
Show more
2014
Transportation Science

In the context of the arrival of electric vehicles on the car market, new mathematical models are needed to understand and predict the impact on the market shares. This research provides a comprehensive methodology to forecast the demand of a technology which is not widespread yet, such as electric cars. It aims at providing contributions regarding three issues related to the prediction of the demand for electric vehicles: survey design, model estimation and forecasting. We develop a stated preferences (SP) survey with personalized choice situations involving standard gasoline/diesel cars and electric cars. We specify a hybrid choice model accounting for attitudes towards leasing contracts or practical aspects of a car in the decision-making process. A forecasting analysis based on the collected SP data and market data is performed to evaluate the future demand for electric cars.

  • Details
  • Metrics
Type
research article
DOI
10.1287/trsc.2013.0487
Web of Science ID

WOS:000344880400003

Author(s)
Glerum, Aurélie  
Stankovikj, Lidija
Thémans, Michaël  
Bierlaire, Michel  
Date Issued

2014

Publisher

Informs

Published in
Transportation Science
Volume

48

Issue

4

Start page

483

End page

499

Subjects

electric vehicles

•

discrete-choice modeling

•

demand prediction

•

transportation

•

attitudes and perceptions

•

hybrid choice models

•

fractional factorial design

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
TRANSP-OR  
Available on Infoscience
January 20, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/99634
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés