Studying transition dynamics via focusing on underlying feedback interactions
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The emerging need for societal transitions raises the need for a better understanding of the dynamic nature of large scale societal systems, and therefore the development of an analytical approach for drawing dynamic conclusions based on system’s dynamic mechanisms, feedback relationships and interacting components.
The objective of this study is to explore the degree to which System Dynamics as an approach enhances the process of understanding transition dynamics in socio-technical systems. In other words, it is aimed to reveal the type of insights that can be developed about such systems and their dynamic behaviour using the approach, as well as the shortcomings of the approach in this challenging task. In order to do so, a modeling study aiming to understand the underlying mechanisms of the waste management transition in the Netherlands is conducted.
The quantitative model developed is based on the historical case of the waste management transition of the Netherlands, and it portrays issues as the dynamics of actors’ preferences, development of infrastructure and environmental consequences of dominant mode of functioning and provides an instance for demonstrating and evaluating the feedback-focused perspective discussed in this paper.
Finally, the paper discusses a set of points regarding the utilized approach, System Dynamics, observed during this study both in general and in the specific context of transitions. In short, System Dynamics stands as a promising approach mainly due to its strength in explaining the source of complex dynamics based on interacting feedback loops, but it also has certain drawbacks in the context of transitions.
KeywordsTransitions System dynamics Simulation model Waste management
- Barlas Y, Kanar K (1999) A dynamic pattern-oriented test for model validation. In: Proceedings of 4th systems science European congress, Valencia, 1999. http://www.ie.boun.edu.tr/~ybarlas/BarlasKorhan99.pdf
- Berkhout F, Smith A, Stirling A (2004) Socio-technological regimes and transition contexts, chap 3. System innovation and the transition to sustainability: theory, evidence and policy. Edward Elgar, Cheltenham Glos Google Scholar
- Coleman J (1990) Foundations of social theory. Belknap Press of Harvard University Press, Cambridge Google Scholar
- Fiddaman T (1997) Feedback complexity in integrated climate-economy models. PhD thesis, Alfred P. Sloan School of Management, Massachusetts Institute of Technology Google Scholar
- Forrester J (1961) Industrial dynamics. MIT Press, Cambridge Google Scholar
- Forrester J (1969) Urban dynamics. MIT Press, Cambridge Google Scholar
- Forrester J, Senge P (1980) Tests for building confidence in system dynamics models. System dynamics. North-Holland, Amsterdam, pp 209–228 Google Scholar
- Keeney R, Raiffa H (1993) Decisions with multiple objectives: preferences and value tradeoffs. Cambridge University Press, Cambridge Google Scholar
- Loorbach D (2007) Transition management: new mode of governance for sustainable development. PhD thesis, Erasmus University, Rotterdam Google Scholar
- Mahajan V, Peterson R (1985) Models for innovation diffusion. Quantitative applications in the social sciences. Sage, Thousand Oaks Google Scholar
- Mahajan V, Muller E, Wind Y (eds) (2000) New-product diffusion models. Kluwer Academic, Dordrecht Google Scholar
- Meadows D, Meadows D, Randers J, Behrens W (1972) The limits to growth. Potomac Associates, New York Google Scholar
- Randers J (1980) Guidelines for model conceptualization. In: Randers J (ed) Elements of the system dynamics method. Productivity Press, Cambridge Google Scholar
- Richardson G, Pugh A (1961) Introduction to system dynamics modelling with DYNAMO. MIT Press, Cambridge Google Scholar
- Richardson GP (1991) Feedback thought in social science and systems theory. University of Pennsylvania Press, Philadelphia Google Scholar
- Rogers E (1983) Diffusion of innovations, 3rd edn. Cambridge University Press, Cambridge Google Scholar
- Rotmans J (2005) Societal innovation: between dream and reality lies complexity. Erasmus University, Rotterdam Google Scholar
- Schade B, Schade W (2005) Assessment of environmentally sustainable transport scenarios by a backcasting approach with escot. In: Proceedings of the 23th International conference of the system dynamics society, Boston, 2005 Google Scholar
- Sterman J (1981) The energy transition and the economy: a system dynamics approach. PhD thesis, Alfred P. Sloan School of Management, Massachusetts Institute of Technology Google Scholar
- Sterman J (2000) Business dynamics: systems thinking and modeling for a complex world. Irwin/McGraw-Hill, Boston Google Scholar
- Struben J, Sterman J (2008) Transition challenges for alternative fuel vehicle and transportation systems. Environment and planning B: planning and design advance online publication Google Scholar
- Yücel G, Barlas Y (2007) Pattern-based system design/optimization. In: Sterman J, Oliva R (eds) Proceedings of the 25th international conference of the system dynamics society, Boston, 2007. http://www.systemdynamics.org/conferences/2007/proceed/index.htm
- Yücel G, Chiong Meza CM (2007) Benefiting from the other: proposals on incorporating agent based and system dynamics approaches. In: Amblard F (ed) Proceedings of the 4th conference of the European social simulation association, Toulouse, 2007. http://essa2007.free.fr/ESSA2007Proceedings.pdf