Increasing environmental pollution from fuel vehicle and limited fossil fuel resources have increased tendency to produce electric vehicles. In Iran, the use of electric vehicles requires further study in the field of supply and demand for this product. Regardless of the supply issue, the use of electric vehicles requires a better understanding of the needs, wants and tastes of consumers. In this paper, from an integrated approach, which is the result of combining the method of choice experience with the agent based model, the modeling and simulation of consumer tendencies is discussed. The statistical population in this study is all drivers with a driver's license in the country. By random sampling, the data were collected with a questionnaire consisting of eight selection sets of 412 samples. Conditional Logit model and simulation have been used to analyze the data. The results of the integrated approach show that government incentives affect the willingness to use electric vehicles more than other features. Also, the features of price, speed and charging time are among the next priorities of consumers. Paying attention to the above features can help policymakers and car manufacturers to use new or better features than in the past.
Allahmoradi E, Mirzamohammadi S, Bonyadi Naeini A, Maleki A. Factors Affecting the Willingness of Consumers to Pay for Electric Cars in the Country. Quarterly Journal of Energy Policy and Planning Research 2020; 6 (1) :195-227 URL: http://epprjournal.ir/article-1-767-en.html