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Diffusion Dynamics of Electric Cars and Adaptive Policy: Towards an Empirical Based Simulation

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Advances in Social Simulation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 229))

Abstract

In this paper we apply the updated consumat approach to the case of diffusion of electric cars. We will discuss how data from a large sample can be used to parameterize a number of main behavioural drivers, and how these relate to behavioural processes. At this stage we explain how the data fit in the framework, and whereas a model is currently under development, first simulation results are to be available first during the ESSA conference.

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References

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Author information

Authors and Affiliations

  1. Groningen Center for Social Complexity Studies & Marketing, University of Groningen, Groningen, Netherlands

    Wander Jager

  2. School of Human Evolution and Social Change & Center, for the Study of Institutional Diversity, Arizona State University, Phoenix, USA

    Marco Janssen

  3. Faculty of Economics and Business Administration, Department of Spatial Economics, Free University of Amsterdam, Amsterdam, Netherlands

    Marija Bockarjova

  4. Faculty of Behavioral Sciences, Department of Social Psychology, University of Groningen, Groningen, Netherlands

    Marija Bockarjova

Authors
  1. Wander Jager
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  2. Marco Janssen
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  3. Marija Bockarjova
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Corresponding author

Correspondence to Wander Jager .

Editor information

Editors and Affiliations

  1. Division of Decision Analysis and Support, School of Economics Institute of Econometrics, Warsaw, Poland

    Bogumił Kamiński

  2. Division of Decision Analysis and Support, School of Economics, Institute of Econometrics, Warsaw, Poland

    Grzegorz Koloch

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© 2014 Springer-Verlag Berlin Heidelberg

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Jager, W., Janssen, M., Bockarjova, M. (2014). Diffusion Dynamics of Electric Cars and Adaptive Policy: Towards an Empirical Based Simulation. In: Kamiński, B., Koloch, G. (eds) Advances in Social Simulation. Advances in Intelligent Systems and Computing, vol 229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39829-2_23

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  • DOI: https://doi.org/10.1007/978-3-642-39829-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39828-5

  • Online ISBN: 978-3-642-39829-2

  • eBook Packages: EngineeringEngineering (R0)

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