The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Models of Decision Making and Residential Energy Use
Abstract
Research traditions across the social sciences have explored the drivers of individual behavior and proposed different models of decision making. Four diverse perspectives are reviewed here: conventional and behavioral economics, technology adoption theory and attitude-based decision making, social and environmental psychology, and sociology. The individual decision models in these traditions differ axiomatically. Some are founded on informed rationality or psychological variables, and others emphasize physical or contextual factors from individual to social scales. Each perspective suggests particular lessons for designing interventions to change behavior. Throughout the review, these lessons are applied to decisions affecting residential energy use. Examples are drawn from both intuitive and reasoning-based types of decision as well as from a range of decision contexts that include capital investments in weatherization and repetitive behaviors such as appliance use. Areas of difference and similarity between various theoretical approaches and their practical implications are highlighted. Conclusions are drawn on how to develop a more integrated approach to both behavioral research and intervention design in a residential energy context.
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Cited by
Watson, R. T., Boudreau, M.-C., & Chen, A. J. (2010) · MIS Quarterly · doi:10.2307/20721413 · Cited by 1,101
Sovacool, B. K., Axsen, J., & Sorrell, S. (2018) · Energy Research & Social Science · doi:10.1016/j.erss.2018.07.007 · Cited by 1,092
Rai, V., & Robinson, S. A. (2015) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2015.04.014 · Cited by 335
Empowering the end-user in smart grids: recommendations for the design of products and services
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Assessing eco-feedback interface usage and design to drive energy efficiency in buildings
Jain, R. K., Taylor, J. E., & Peschiera, G. (2012) · Energy and Buildings · doi:10.1016/j.enbuild.2011.12.033 · Cited by 172
Energy Efficiency Economics and Policy
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Coleman, S., Hurley, S., Rizzo, D., Koliba, C., & Zia, A. (2018) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2018.09.005 · Cited by 51
Activity-Aware Energy-Efficient Automation of Smart Buildings
Thomas, B., & Cook, D. (2016) · Energies · doi:10.3390/en9080624 · Cited by 42
Simulating the deep decarbonisation of residential heating for limiting global warming to 1.5 °C
Knobloch, F., Pollitt, H., Chewpreecha, U., Daioglou, V., & Mercure, J.-F. (2019) · Energy Efficiency · doi:10.1007/s12053-018-9710-0 · Cited by 6
Metadata
- Authors
- Wilson, C., & Dowlatabadi, H.
- Venue
- Annual Review of Environment and Resources
- Publisher
- Annual Reviews
- Published
- 2007-11-01
- Volume
- 32
- Issue
- 1
- Pages
- 169-203
- ISSN
- 1543-5938 (ISSN-L)
- 1545-2050
- OpenAlex
- W2112336557
- Cited by
- 818
- References
- 21
- FWCI
- 18.51
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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