000196068 001__ 196068
000196068 005__ 20190316235831.0
000196068 037__ $$aREP_WORK
000196068 245__ $$aForecasting the demand for electric vehicles: accounting for attitudes and perceptions
000196068 269__ $$a2012
000196068 260__ $$c2012
000196068 336__ $$aReports
000196068 520__ $$aIn 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.
000196068 700__ $$0243045$$g170790$$aGlerum, Aurélie
000196068 700__ $$aStankovikj, Lidija
000196068 700__ $$0249167$$g155716$$aThémans, Michaël
000196068 700__ $$aBierlaire, Michel$$g118332$$0240563
000196068 8564_ $$uhttps://infoscience.epfl.ch/record/196068/files/GleStaTheBie_2012.pdf$$zn/a$$s432884$$yn/a
000196068 909C0 $$xU11418$$0252123$$pTRANSP-OR
000196068 909CO $$ooai:infoscience.tind.io:196068$$qGLOBAL_SET$$pENAC$$preport
000196068 937__ $$aEPFL-REPORT-196068
000196068 970__ $$aREP-GleStaTheBie_2012/TRANSP-OR
000196068 973__ $$aEPFL
000196068 980__ $$aREPORT