Stimulating E-Mobility Diffusion in Germany (EMOSIM): An Agent-Based Simulation Approach

Tobias Buchmann, Patrick Wolf and Stefan Fidaschek
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Tobias Buchmann: Center for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW), 70563 Stuttgart, Germany
Patrick Wolf: Center for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW), 70563 Stuttgart, Germany
Stefan Fidaschek: Center for Solar Energy and Hydrogen Research Baden-Württemberg (ZSW), 70563 Stuttgart, Germany

Energies, 2021, vol. 14, issue 3, 1-25

Abstract: The German Climate Action Plan targets an electric vehicle fleet of 6 million by 2030. However, from today’s perspective, we are far away from a path that is steep enough to reach this goal. In order to identify how different policy instruments can stimulate e-mobility diffusion in Germany, we build and calibrate an agent-based simulation model (ABM). The model allows for the consideration of the rich dynamics of social influence as well as the heterogeneity of actors and is flexible enough to be applied with other technologies. We simulate different policy scenarios against a business as usual (BAU) scenario. We show that with the currently implemented set of policies (BAU scenario), it is very unlikely that the envisaged goals in terms of e-mobility diffusion can be reached. Moreover, we suggest additional measures such as a carbon tax on fuel, more charging points, and higher direct subsidies, which are as a combined package likely to have a significantly positive effect on the diffusion of electric cars.

Keywords: agent-based model; e-mobility; innovation diffusion (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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