References
- 1Abreu, J., Wingartz, N., & Hardy, N. (2019). New trends in solar: A comparative study assessing the attitudes towards the adoption of rooftop PV. Energy Policy, 128, 347–363. 10.1016/j.enpol.2018.12.038
- 2Bobrova, Y., Papachristos, G., & Zimmermann, N. (2018). A dynamic model of psychological fatigue in the process of low carbon home retrofit. Paper presented at the 36th International Conference of the System Dynamics Society, Reykjavík, Iceland.
https://discovery.ucl.ac.uk/id/eprint/10054636/1/Bobrova%20et%20al.%20-%202018%20-%20A%20dynamic%20model%20of%20psychological%20fatigue%20in%20the%20pr.pdf - 3Boone, T., Reilly, A. J., & Sashkin, M. (1977).
SOCIAL LEARNING THEORY . Albert Bandura Englewood Cliffs, N.J.: Prentice-Hall, 1977. 247 pp., paperbound. Group & Organization Studies, 2, 384–385. 10.1177/105960117700200317 - 4Boza-Kiss, B., & Bertoldi, P. (2018). One-stop-shops for energy renovations of buildings (No. JRC113301). Joint Research Centre (JRC)—Ispra.
- 5BPIE. (2022). A guidebook to European buildings efficiency: Key regulatory and policy developments—Report on the evolution of the European regulatory framework for buildings efficiency. Buildings Performance Institute Europe (BPIE).
https://www.bpie.eu/wp-content/uploads/2022/02/rev6_SPIPA_EU.pdf - 6Constantino, S. M., Sparkman, G., Kraft-Todd, G. T., Bicchieri, C., Centola, D., Shell-Duncan, B., Vogt, S., & Weber, E. U. (2022). Scaling up change: A critical review and practical guide to harnessing social norms for climate action. Psychological Science in the Public Interest, 23, 50–97. 10.1177/15291006221105279
- 7De Wilde, M. (2019). The sustainable housing question: On the role of interpersonal, impersonal and professional trust in low-carbon retrofit decisions by homeowners. Energy Research & Social Science, 51, 138–147. 10.1016/j.erss.2019.01.004
- 8Ebrahimigharehbaghi, S., Qian, Q. K., De Vries, G., & Visscher, H. J. (2022). Application of cumulative prospect theory in understanding energy retrofit decision: A study of homeowners in the Netherlands. Energy and Buildings, 261, 111958. 10.1016/j.enbuild.2022.111958
- 9Eker, S., & Zimmermann, N. (2016). Understanding the mechanisms behind fragmentation in the housing construction and retrofit. In Proceedings of the 34th International Conference of the System Dynamics Society.
System Dynamics Society .https://discovery.ucl.ac.uk/id/eprint/1507956/1/SDpaper_2016.pdf - 10Forrester, J. W. (1971). Counterintuitive behavior of social systems. Theory and Decision, 2, 109–140. 10.1007/BF00148991
- 11Ghaffarzadegan, N., Lyneis, J., & Richardson, G. P. (2011). How small system dynamics models can help the public policy process. System Dynamics Review, 27, 22–44. 10.1002/sdr.442
- 12Grimm, V., & Groß, C. (2023). Die Heizungsreform spaltet die Gesellschaft. Frankfurter Allgemeine.
- 13Guo, H., Qiao, W., & Liu, J. (2019). Dynamic feedback analysis of influencing factors of existing building energy-saving renovation market based on system dynamics in China. Sustainability, 11, 273. 10.3390/su11010273
- 14Heckhausen, H., & Gollwitzer, P. M. (1987). Thought contents and cognitive functioning in motivational versus volitional states of mind. Motivation and Emotion, 11, 101–120. 10.1007/BF00992338
- 15Homer-Dixon, T., Milkoreit, M., Mock, S. J., Schröder, T., & Thagard, P. (2014). The conceptual structure of social disputes: Cognitive-affective maps as a tool for conflict analysis and resolution. Sage Open, 4, 2158244014526210. 10.1177/2158244014526210
- 16Hovmand, P. S. (2014).
Group model building and community-based system dynamics process . In Hovmand, P. S. (Ed.), Community based system dynamics (pp. 17–30). Springer. 10.1007/978-1-4614-8763-0_2 - 17Knobloch, F., Huijbregts, M. A. J., & Mercure, J.-F. (2019). Modelling the effectiveness of climate policies: How important is loss aversion by consumers? Renewable and Sustainable Energy Reviews, 116, 109419. 10.1016/j.rser.2019.109419
- 18Koch, C., & Rosenberger, N. (2019). Ganzheitliche Betrachtung, Vertrauen und Erfahrungsaustausch: Kommunikation mit Hauseigentümern über energetisches Sanieren. 10.21256/ZHAW-3397
- 19Lane, D. C., & Rouwette, E. A. J. A. (2023). Towards a behavioural system dynamics: Exploring its scope and delineating its promise. European Journal of Operational Research, 306, 777–794. 10.1016/j.ejor.2022.08.017
- 20Li, F. G. N. (2017). Actors behaving badly: Exploring the modelling of non-optimal behaviour in energy transitions. Energy Strategy Reviews, 15, 57–71. 10.1016/j.esr.2017.01.002
- 21Liu, G., Xie, Q., Li, X., & Tan, Y. (2024). Modeling heterogeneous and adaptive homeowners’ decision-making for green retrofit. Energy and Buildings, 312, 114212. 10.1016/j.enbuild.2024.114212
- 22Lovell, H. (2005). Supply and demand for low energy housing in the UK: Insights from a science and technology studies approach. Housing Studies, 20, 815–829. 10.1080/02673030500214118
- 23Mayer, Z., Volk, R., & Schultmann, F. (2022). Analysis of financial benefits for energy retrofits of owner-occupied single-family houses in Germany. Building and Environment, 211, 108722. 10.1016/j.buildenv.2021.108722
- 24Müller, M. O. (2013). Diffusion dynamics of energy-efficient renovations: Causalities and policy recommendations. Springer. 10.1007/978-3-642-37175-2
- 25Nel, D., & Taeihagh, A. (2024). The soft underbelly of complexity science adoption in policymaking: Towards addressing frequently overlooked non-technical challenges. Policy and Science, 57, 403–436. 10.1007/s11077-024-09531-y
- 26Onat, N. C., Egilmez, G., & Tatari, O. (2014). Towards greening the U.S. residential building stock: A system dynamics approach. Building and Environment, 78, 68–80. 10.1016/j.buildenv.2014.03.030
- 27Rees, J. H., & Bamberg, S. (2014). Climate protection needs societal change: Determinants of intention to participate in collective climate action. European Journal of Social Psychology, 44, 466–473. 10.1002/ejsp.2032
- 28Rentrop, J. (2018). Hemmnisse bei der energetischen Sanierung von Wohngebäuden. University of Ulm.
- 29Rogers, E. M., Hagerstrand, T., & Pred, A. (1969). Innovation diffusion as a spatial process. Technology and Culture, 10, 480. 10.2307/3101713
- 30Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55, 68–78. 10.1037/0003-066X.55.1.68
- 31Scherbaum, S., Dshemuchadse, M., & Kalis, A. (2008). Making decisions with a continuous mind. Cognitive, Affective, & Behavioral Neuroscience, 8, 454–474. 10.3758/CABN.8.4.454
- 32Schünemann, C. (2025). Erhöhung der Dynamik energetischer Wohngebäudesanierung—Befragungsergebnisse zu Motivation, Hemmnissen und Lösungsansätzen für verschiedene Eigentumsverhältnisse in Deutschland. Social Science Open Access Repository. 10.26084/8056-2f80
- 33Schünemann, C., Johanning, S., Herold, H., & Bruckner, T. (2024). Modelling the behaviour in socio-technical systems for policy assessment—A comparison of modelling approaches using the example of Sponge City concept implementation. Journal of Cleaner Production, 462, 142722. 10.1016/j.jclepro.2024.142722
- 34Shu, L., & Zhao, D. (2023). Decision-making approach to urban energy retrofit—A comprehensive review. Buildings, 13, 1425. 10.3390/buildings13061425
- 35Sterman, J. (2002). System dynamics: Systems thinking and modeling for a complex world (Working Paper Series No. ESD-WP-2003-01.13-ESD Internal Symposium). Massachusetts Institute of Technology, Engineering Systems Division (ESD).
- 36Wilson, C., & Dowlatabadi, H. (2007). Models of decision making and residential energy use. Annual Review of Environment and Resources, 32, 169–203. 10.1146/annurev.energy.32.053006.141137