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Using systems thinking and system dynamics modeling to understand rebound effects


Achachlouei, Mohammad Ahmadi; Hilty, Lorenz (2016). Using systems thinking and system dynamics modeling to understand rebound effects. In: Gomez, Jorge Marx; Sonnenschein, Michael; Vogel, Ute; Winter, Andreas; Rapp, Barbara; Giesen, Nils. Advances and New Trends in Environmental and Energy Informatics : Selected and Extended Contributions from the 28th International Conference on Informatics for Environmental Protection. Berlin: Springer International Publishing, 237-255.

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.

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.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Date:2016
Deposited On:24 May 2016 16:38
Last Modified:24 May 2016 16:38
Publisher:Springer International Publishing
Series Name:Progress in IS
ISBN:978-3-319-23454-0
Publisher DOI:https://doi.org/10.1007/978-3-319-23455-7_13
Official URL:http://link.springer.com/chapter/10.1007%2F978-3-319-23455-7_13
Related URLs:http://www.recherche-portal.ch/ZAD:default_scope:ebi01_prod010600365 (Library Catalogue)
Other Identification Number:merlin-id:12986
Permanent URL: https://doi.org/10.5167/uzh-124073

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