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Using Systems Thinking and System Dynamics Modeling to Understand Rebound Effects

In: Advances and New Trends in Environmental and Energy Informatics

Author

Listed:
  • Mohammad Ahmadi Achachlouei

    (KTH Royal Institute of Technology
    KTH Royal Institute of Technology
    Empa – Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Lab)

  • Lorenz M. Hilty

    (KTH Royal Institute of Technology
    Empa – Swiss Federal Laboratories for Materials Science and Technology, Technology and Society Lab
    University of Zurich)

Abstract

Processes leading to an increase of demand for a resource as a consequence of increasing the efficiency of using this resource in production or consumption are known as (direct) rebound effects. Rebound effects at micro and macro levels tend to offset the reduction in resource consumption enabled by progress in efficiency. Systems thinking and modeling instruments such as causal loop diagrams and System Dynamics can be used to conceptualize the structure of this complex phenomenon and also to communicate model-based insights. In passenger transport, the rebound effect can be invoked by increased cost efficiency (direct economic rebound) and/or increase in speed (time rebound). In this paper we review and compare two existing models on passenger transport—including a model on the role of information and communication technology—with regard to the feedback loops used to conceptualize rebound effects.

Suggested Citation

  • Mohammad Ahmadi Achachlouei & Lorenz M. Hilty, 2016. "Using Systems Thinking and System Dynamics Modeling to Understand Rebound Effects," Progress in IS, in: Jorge Marx Gomez & Michael Sonnenschein & Ute Vogel & Andreas Winter & Barbara Rapp & Nils Giesen (ed.), Advances and New Trends in Environmental and Energy Informatics, edition 1, chapter 0, pages 237-255, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-23455-7_13
    DOI: 10.1007/978-3-319-23455-7_13
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