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Experimentation with household dynamics: the consumat approach

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  • Wander Jager, Marco A. Janssen, Charles Viek

Abstract

Despite the abundance of empirical data on household energy consumption, it is hard to predict future developments because of the complexity of the household system. Multi-agent simulation offers a tool to get a better understanding of the relevant behavioural dynamics of the household system. This would allow for an early diagnosis and response to unwanted developments. A computer simulation of consumer behaviour has been developed on the basis of a meta-model of behaviour, which integrates various relevant behavioural theories. This so-called consumat approach has been applied to issues such as the lock-in of consumption patterns and the management of a common resource, and has been applied in an integrated ecological-economic model. This paper discusses the basic principles of the consumat approach, summarises some results, and draws conclusions with respect to the application of this approach in the domain of household consumption.

Suggested Citation

  • Wander Jager, Marco A. Janssen, Charles Viek, 2001. "Experimentation with household dynamics: the consumat approach," International Journal of Sustainable Development, Inderscience Enterprises Ltd, vol. 4(1), pages 90-100.
    • Handle: RePEc:ids:ijsusd:v:4:y:2001:i:1:p:90-100
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    Cited by:

    1. Zhang, Cen & Schmöcker, Jan-Dirk & Kuwahara, Masahiro & Nakamura, Toshiyuki & Uno, Nobuhiro, 2020. "A diffusion model for estimating adoption patterns of a one-way carsharing system in its initial years," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 135-150.
    2. Kletzan, Daniela & Koppl, Angela & Kratena, Kurt & Schleicher, Stefan & Wuger, Michael, 2006. "Towards sustainable consumption: Economic modelling of mobility and heating for Austria," Ecological Economics, Elsevier, vol. 57(4), pages 608-626, June.
    3. Diana A. Londoño-Pulgarín & Francisco Muñoz-Leiva & Esmeralda Crespo-Almendros, 2020. "Conversion of Residential Heating Systems from Fossil Fuels to Biofuels: A Cross-Cultural Analysis," Energies, MDPI, vol. 13(19), pages 1-24, September.
    4. Reinhard, Stijn & Naranjo, María A. & Polman, Nico & Hennen, Wil, 2022. "Modelling choices and social interactions with a threshold public good: Investment decisions in a polder in Bangladesh," Land Use Policy, Elsevier, vol. 113(C).
    5. Hidayatno, Akhmad & Jafino, Bramka Arga & Setiawan, Andri D. & Purwanto, Widodo Wahyu, 2020. "When and why does transition fail? A model-based identification of adoption barriers and policy vulnerabilities for transition to natural gas vehicles," Energy Policy, Elsevier, vol. 138(C).
    6. Kratena, K(*) & Wüger, M., 2003. "Modelling Consumer Transport Demand and Sustainable Development," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 21, pages 243-258, Agosto.
    7. Moglia, Magnus & Alexander, Kim S. & Thephavanh, Manithaythip & Thammavong, Phomma & Sodahak, Viengkham & Khounsy, Bountom & Vorlasan, Sysavanh & Larson, Silva & Connell, John & Case, Peter, 2018. "A Bayesian network model to explore practice change by smallholder rice farmers in Lao PDR," Agricultural Systems, Elsevier, vol. 164(C), pages 84-94.
    8. Daniela Kletzan-Slamanig & Angela Köppl & Kurt Kratena & Michael Wüger, 2002. "Nachhaltiger Konsum: Methodische Konzepte und Fallstudien," WIFO Monatsberichte (monthly reports), WIFO, vol. 75(7), pages 447-455, July.

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