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An Agent-Based Simulation Using Conjoint Data: The Case of Electric Vehicles in Germany

In: Operations Research Proceedings 2017

Author

Listed:
  • Markus Günther

    (Bielefeld University)

  • Marvin Klein

    (Bielefeld University)

  • Lars Lüpke

    (Bielefeld University)

Abstract

Agent-based models are currently in wide use in innovation and technology diffusion research, as they are able to capture the inherent complexity arising from adoption processes and they allow the consideration of various influences of the underlying social systems. While they are sometimes criticized as “toy models”, agent-based models often do not reach their full potential if they lack an empirical foundation. Therefore, we present an agent-based simulation that addresses consumers’ adoption behavior of electric and plug-in hybrid electric vehicles in Germany using various empirical data sources for parametrization and validation. In particular, we conducted a focus group and a choice-based conjoint study. Additionally, our model is to our knowledge the first that takes into account explicitly and comprehensively the supply of home charging options.

Suggested Citation

  • Markus Günther & Marvin Klein & Lars Lüpke, 2018. "An Agent-Based Simulation Using Conjoint Data: The Case of Electric Vehicles in Germany," Operations Research Proceedings, in: Natalia Kliewer & Jan Fabian Ehmke & Ralf Borndörfer (ed.), Operations Research Proceedings 2017, pages 595-601, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-89920-6_79
    DOI: 10.1007/978-3-319-89920-6_79
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