Using Systems Thinking and System Dynamics Modeling to Understand Rebound Effects

Mohammad Ahmadi Achachlouei () and Lorenz M. Hilty
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Mohammad Ahmadi Achachlouei: KTH Royal Institute of Technology
Lorenz M. Hilty: KTH Royal Institute of Technology

Chapter Chapter 13 in Advances and New Trends in Environmental and Energy Informatics, 2016, pp 237-255 from Springer

Abstract: 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.

Keywords: Rebound effect; Energy efficiency; Systems thinking; Systems modeling; System dynamics; Causal loop diagrams; Passenger transport; ICT; Time rebound; Direct rebound (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-23455-7_13

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DOI: 10.1007/978-3-319-23455-7_13

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