Nothing Special   »   [go: up one dir, main page]

skip to main content
research-article

Beyond clustering: rethinking the segmentation of energy consumers when nudging them towards energy-saving behavior

Published: 13 February 2023 Publication History

Abstract

Besides technological innovations in energy production and management technologies, the fight against climate change requires fundamental changes in our energy consumption behavior. Behavioral interventions are key to this process, especially when tailored to different energy consumer segments accounting for their socio-demographic profiles, socio- psychological characteristics and energy consumption practices.
In this work, we propose a novel approach to energy consumer segmentation that facilitates the choice of (nudging) interventions for each segment. We call it intervention-driven energy consumer profiling since it explicitly considers upfront the set of interventions that can be delivered to energy consumers and defines profiles that can be readily matched with them. The profiles are specified as combinations of socio-psychological factors with implications for energy-saving behavior and are parameterized by thresholds that measure how strongly these factors are represented in each profile. One profile represents ideal energy-savers, whereas each of the remaining five profiles shares one or two distinct features that serve as barriers towards energy-saving behavior and/or prescribe specific type of nudging interventions for strengthening such behavior. We use the responses of users to a European-wide online survey to formulate and solve an optimization problem for these thresholds and then assign the survey respondents to the profiles. Finally, we analyze them also in terms of socio-demographic variables and recommend appropriate nudging interventions for them.

References

[1]
Wokje Abrahamse, Linda Steg, Charles Vlek, and Talib Rothengatter. 2007. The effect of tailored information, goal setting, and tailored feedback on household energy use, energy-related behaviors, and behavioral antecedents. Journal of Environmental Psychology 27, 4 (2007), 265--276.
[2]
Icek Ajzen. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50, 2 (1991), 179--211.
[3]
Hunt Allcott and Todd Rogers. 2014. The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation. American Economic Review 104, 10 (October 2014), 3003--37.
[4]
Mark A. Andor, Andreas Gerster, Jörg Peters, and Christoph M. Schmidt. 2020. Social Norms and Energy Conservation Beyond the US. Journal of Environmental Economics and Management 103 (2020), 102351.
[5]
Alec Brandon, John A. List, Robert D. Metcalfe, Michael K. Price, and Florian Rundhammer. 2019. Testing for crowd out in social nudges: Evidence from a natural field experiment in the market for electricity. Proceedings of the National Academy of Sciences 116, 12 (2019), 5293--5298.
[6]
Ana Caraban, Evangelos Karapanos, Daniel Gonçalves, and Pedro Campos. 2019. 23 Ways to Nudge: A Review of Technology-Mediated Nudging in Human-Computer Interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). 1--15.
[7]
Elisabeth Engl, Peter Smittenaar, and Sema K. Sgaier. 2019. Identifying population segments for effective intervention design and targeting using unsupervised machine learning: an end-to-end guide. Gates Open Res 3, 21 (Oct. 2019).
[8]
Meg Gerrard, Frederick Gibbons, Amy Houlihan, Michelle Stock, and Elizabeth Pomery. 2008. A dual-process approach to health risk decision making: The Prototype Willingness Model. Developmental Review 28 (03 2008), 29--61.
[9]
Brian Hopkins and J. G. Skellam. 1954. A New Method for determining the Type of Distribution of Plant Individuals. Annals of Botany 18, 70 (1954), 213--227.
[10]
Daniel Kahneman. 2011. Thinking, fast and slow. Farrar, Straus and Giroux, New York.
[11]
Adnane Kendel, Nathalie Lazaric, and Kevin Mar©chal. 2017. What do people learn by looking at direct feedback on their energy consumption? Results of a field study in Southern France. Energy Policy 108 (2017), 593--605.
[12]
Siegwart Lindenberg and Esther K. Papies. 2019. Two Kinds of Nudging and the Power of Cues: Shifting Salience of Alternatives and Shifting Salience of Goals. International Review of Environmental and Resource Economics 13, 3--4 (2019), 229--263.
[13]
Xuan Liu, Qian-Cheng Wang, Izzy Yi Jian, Hung-Lin Chi, Dujuan Yang, and Edwin Hon-Wan Chan. 2021. Are you an energy saver at home? The personality insights of household energy conservation behaviors based on theory of planned behavior. Resources, Conservation and Recycling 174, 105823 (November 2021).
[14]
Claire-Michelle Loock, Thorsten Staake, and Frédéric Thiesse. 2013. Motivating Energy-Efficient Behavior With Green Is: An Investigation of Goal Setting and the Role of Defaults. MIS Quarterly 37, 4 (2013), 1313--1332.
[15]
Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze. 2008. Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK.
[16]
Erica Myers and Mateus Souza. 2020. Social comparison nudges without monetary incentives: Evidence from home energy reports. Journal of Environmental Economics and Management 101 (2020), 102315.
[17]
EU NUDGE project consortium. 2021. Profiling of energy consumers: psychological and contextual factors of energy behavior. Deliverable D1.1, [Online]: https://www.nudgeproject.eu/report-profiling-of-energy-consumers-psychological-and-contextual-factors-of-energy-behavior/.
[18]
Donna M. Randall and Maria F. Fernandes. 1991. The Social Desirability Response Bias in Ethics Research. Journal of Business Ethics 10, 11 (1991), 805--817.
[19]
Aja Ropret Homar and Ljubica Knezevic Cvelbar. 2021. The effects of framing on environmental decisions: A systematic literature review. Ecological Economics 183 (2021), 106950.
[20]
John R Rossiter and Larry Percy. 1987. Advertising and promotion management. McGraw-Hill Book Company.
[21]
Paul Wesley Schultz, Mica Estrada, Joseph Schmitt, Rebecca Sokoloski, and Nilmini Silva-Send. 2015. Using in-home displays to provide smart meter feedback about household electricity consumption: A randomized control trial comparing kilowatts, cost, and social norms. Energy 90 (2015), 351--358.
[22]
Shalom H. Schwartz. 1977. Normative Influences on Altruism. Advances in Experimental Social Psychology, Vol. 10. Academic Press, 221--279.
[23]
Henk Staats, Paul Harland, and Henk A. M. Wilke. 2004. Effecting Durable Change: A Team Approach to Improve Environmental Behavior in the Household. Environment and Behavior 36, 3 (2004), 341--367.
[24]
Linda Steg and Judith de Groot. 2010. Explaining prosocial intentions: Testing causal relationships in the norm activation model. British Journal of Social Psychology 49, 4 (2010), 725--743.
[25]
Linda Steg, Goda Perlaviciute, Ellen van der Werff, and Judith Lurvink. 2014. The Significance of Hedonic Values for Environmentally Relevant Attitudes, Preferences, and Actions. Environment and Behavior 46, 2 (2014), 163--192.
[26]
Paul C. Stern, Thomas Dietz, Troy D. Abel, Gregory A. Guagnano, and Linda Kalof. 1999. A Value-Belief-Norm Theory of Support for Social Movements: The Case of Environmentalism. Human Ecology Review 6 (1999), 81--97.
[27]
Bernadette Sütterlin, Thomas A. Brunner, and Michael Siegrist. 2011. Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics. Energy Policy 39, 12 (December 2011), 8137--8152.
[28]
Richard Thaler and C. Sunstein. 2009. NUDGE: Improving Decisions About Health, Wealth, and Happiness. Penguin.
[29]
Daniel Robert Thomas, Shalu Agrawal, S.P. Harish, Aseem Mahajan, and Johannes Urpelainen. 2020. Understanding segmentation in rural electricity markets: Evidence from India. Energy Economics 87 (March 2020).
[30]
John Thgersen. 2021. Consumer behavior and climate change: consumers need considerable assistance. Current Opinion in Behavioral Sciences 42 (2021), 9--14. Human Response to Climate Change: From Neurons to Collective Action.
[31]
Verena Tiefenbeck, Lorenz Goette, Kathrin Degen, Vojkan Tasic, Elgar Fleisch, Rafael Lalive, and Thorsten Staake. 2018. Overcoming Salience Bias: How Real-Time Feedback Fosters Resource Conservation. Manage. Sci. 64, 3 (March 2018), 1458--1476.
[32]
Amos Tversky and Daniel Kahneman. 1974. Judgment under Uncertainty: Heuristics and Biases. Science 185, 4157 (1974), 1124--1131.
[33]
Rupert Zierler, Walter Wehrmeyer, and Richard Murphy. 2017. The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator. Energy Policy 104 (2017), 38--49.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGEnergy Energy Informatics Review
ACM SIGEnergy Energy Informatics Review  Volume 2, Issue 4
December 2022
59 pages
EISSN:2770-5331
DOI:10.1145/3584024
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 February 2023
Published in SIGENERGY-EIR Volume 2, Issue 4

Check for updates

Author Tags

  1. behavioral interventions
  2. clustering
  3. energy saving
  4. nudging
  5. optimization
  6. segmentation

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 111
    Total Downloads
  • Downloads (Last 12 months)64
  • Downloads (Last 6 weeks)10
Reflects downloads up to 13 Nov 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media