Abstract

The widespread commercial availability of plug-in electric vehicles (EVs) in recent years motivates po-licies to encourage EV adoption and infrastructure to cope with the increasing number of EVs. Wepresent an agent-based EV ecosystem model that incorporates EV adoption and usage with spatial andtemporal considerations and that can aid different EV industry stakeholders such as policymakers, utilityoperators, charging station planners, and EV manufacturers. The model follows an ecological modelingapproach, and is used to determine how different policies and battery technologies affect EV adoption,EV charging, and charging station activity. We choose model parameters to fit San Francisco as a test cityand simulate different scenarios. The results provide insight on potential changes to the San Francisco EVecosystem as a result of changes in rebates, availability of workplace charging, public awareness of lowerEV operational costs, and denser EV batteries. We find that our results match those obtained using otherapproaches and that the compact geographical size of San Francisco and its relative wealth make it anideal city for EV adoption.

Keywords: Electric vehicles ；EV ecosystem model ；San Francisco 

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文章作者：

Adedamola Adepetu , Srinivasan Keshav , Vijay Arya 

注：文章摘自 Transport Policy, 如有侵权请联系删除，谢谢合作

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