『Abstract
　The aim of this paper is to analyze consumers' awareness towards electric vehicle (EV) and examine the factors that are most likely to affect consumers' choice for EV in China. A comprehensive questionnaire survey has been conducted with 299 respondents from various driving schools in Nanjing. Three binary logistic regression models were used to determine the factors that contribute to consumers' acceptance of EVs, their purchase time and their purchase price. The results suggest that:

• (1) Whether a consumer chooses an EV is significantly influenced by the number of driver's licenses, number of vehicles, government policies and fuel price.
• (2) The timing of consumers' purchases of an EV is influenced by academic degree, annual income, number of vehicles, government policies, the opinion of peers and tax incentives.
• (3) The acceptance of purchase price of EVs is influenced by age, academic degree, number of family members, number of vehicles, the opinion of peers, maintenance cost and degree of safety.

　These findings will help understand consumer's purchase behavior of EVs and have important policy implications related to the promotions of EVs in China.

Keywords: Electric vehicle; Willingness to pay; Logistic regression model』

1. Introduction
　1.1. Development background of alternative fuel vehicles in China
　1.2. Alternative fuel vehicle development in China
　1.3. Review of the literature on the alternative fuel vehicle market
　1.4. Research objective and scope
2. Method
　2.1. Questionnaire design
　2.2. Data collection
　2.3. Stated preference and binary logistic regression model
3. Results and discussion
　3.1. Public awareness of EVs
　3.2. Binary logistic regression models
　　3.2.1. Binary logistic regression model 1 (willingness to choose an EV)
　　3.2.2. Binary logistic regression model 2 (time period to purchase an EV)
　　3.2.3. Binary logistic regression model 3 (acceptability of purchase price of an EV)
　3.3. Discussion
4. Conclusions
Acknowledgments
References