Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model

Authored by Chris Silvia, Rachel M Krause

Date Published: 2016

DOI: 10.1016/j.enpol.2016.05.039

Sponsors: No sponsors listed

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Model Documentation: Other Narrative Flow charts

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Abstract

Heightened concern regarding climate change and energy independence has increased interest in plug-in electric vehicles as one means to address these challenges and governments at all levels have considered policy interventions to encourage their adoption. This paper develops an agent-based model that simulates the introduction of four policy scenarios aimed at promoting electric vehicle adoption in an urban community and compares them against a baseline. These scenarios include reducing vehicle purchase price via subsidies, expanding the local public charging network, increasing the number and visibility of fully battery electric vehicles (BEVs) on the roadway through government fleet purchases, and a hybrid mix of these three approaches. The results point to the effectiveness of policy options that increased awareness of BEV technology. Specifically, the hybrid policy alternative was the most successful in encouraging BEV adoption. This policy increases the visibility and familiarity of BEV technology in the community and may help counter the idea that BEVs are not a viable alternative to gasoline-powered vehicles. (C) 2016 Elsevier Ltd. All rights reserved.

Tags

Simulation incentives diffusion Demand Green