Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model |
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Affiliation: | 1. Brigham Young University, Marriottt School of Management, 764 TNRB, Provo, UT 84602, USA;2. University of Kansas, School of Public Affairs and Administration, Wescoe Hall, Room 4060P, Lawrence, KS 66045, USA;1. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada N2L 3G1;2. IBM Research, Block G2, Manyata Embassy Business Park, Nagawara, Outer Ring Road, Bangalore 560045, India;1. The Economic and Social Research Institute, Dublin, Ireland;2. Department of Economics, Trinity College, Dublin, Ireland;1. Industrial Engineering Study Programme, Department of Mechanical and Industrial Engineering, Gadjah Mada University (UGM) Jl. Grafika No. 2, Kampus UGM, D. I. Yogyakarta 55281, Indonesia;2. Psykologisk Institutt, Norwegian University of Science and Technology (NTNU), Norges Teknisk-Naturvitenskaplige Universitet, Edward Bulls veg 1, 7491 Trondheim, Norway |
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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. |
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Keywords: | Public policy Plug-in electric vehicles Technology adoption Agent-based model |
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