The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study

被引:0
|
作者
Adedamola Adepetu
Srinivasan Keshav
机构
[1] University of Waterloo,Cheriton School of Computer Science
来源
Transportation | 2017年 / 44卷
关键词
Electric vehicles; Agent-based modeling; Electric vehicle adoption; Range anxiety;
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学科分类号
摘要
Electric vehicles (EVs) are still a maturing technology. Barriers to their adoption include price and range anxiety. EV batteries are significant in determining both EV prices and costs. In this work, we focus on the impact of a high-capacity battery and EV rebates on an EV ecosystem. Using survey data from Los Angeles, California, we simulate different cases of battery costs and prices by means of an agent-based EV ecosystem model. We find that even in Los Angeles, a geographically spread out city, the price of EVs is a more significant barrier to adoption than EV range. In fact, even a quintupling of battery size at no additional costs improves EV adoption by only 5 %. Therefore, policy makers should focus more on affordability than range in promoting EV adoption.
引用
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页码:353 / 373
页数:20
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