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Article

An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project

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Department of Social and Economic Policy, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland
2
Department of International Economic Relations, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland
3
Department of Economic and Financial Analysis, University of Economics in Katowice, 1 Maja 50, 40-287 Katowice, Poland
*
Author to whom correspondence should be addressed.
Academic Editors: Sergio Ulgiati and Marco Casazza
Energies 2021, 14(12), 3556; https://doi.org/10.3390/en14123556
Received: 24 April 2021 / Revised: 25 May 2021 / Accepted: 10 June 2021 / Published: 15 June 2021
(This article belongs to the Special Issue Feature Papers in Energy, Environment and Well-Being)
Energy consumption impacts the environment, humans’ well-being, comfort and quality of life. The article aimed to develop the original model of energy consumer segmentation, based on behavioural variables, which influence consumer decisions and motivations regardless of demographic, geographic and socio-cultural differences. The innovative contribution is the segmentation procedure, which fills the existing research gap and can be treated as a universal tool serving various groups of stakeholders for creating and implementing sustainable development policies. The methodology used for the segmentation is based on the original algorithm and involves classifying a consumer into the most appropriate group based on the measurement of the distance between the ideal class representative and a particular respondent. Several distance measures (e.g., Sokal–Michener, Goodall, Lin) were used, while the similarity of those classifications was verified using the adjusted Rand index. The segmentation involved adopting—a priori—five basic classes of consumers, varying in terms of motivation to save energy. The validation performed on a sample of 1606 respondents, carried out as part of the eco-bot project, verified both the classification approach adopted in the study and the accuracy of the assumptions. The application of the distance measures chosen for the study allowed for the assignment of 96.1% of the respondents to the appropriate classes, which yielded the following distribution: EI (33.9% of the respondents); DS (33.1%), AE (17.2%), O (7%) and I (4.9%). View Full-Text
Keywords: behavioural energy consumer segmentation; energy consumption; financial motivations; pro-environmental motivations; model segmentation behavioural energy consumer segmentation; energy consumption; financial motivations; pro-environmental motivations; model segmentation
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MDPI and ACS Style

Słupik, S.; Kos-Łabędowicz, J.; Trzęsiok, J. An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project. Energies 2021, 14, 3556. https://doi.org/10.3390/en14123556

AMA Style

Słupik S, Kos-Łabędowicz J, Trzęsiok J. An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project. Energies. 2021; 14(12):3556. https://doi.org/10.3390/en14123556

Chicago/Turabian Style

Słupik, Sylwia, Joanna Kos-Łabędowicz, and Joanna Trzęsiok. 2021. "An Innovative Approach to Energy Consumer Segmentation—A Behavioural Perspective. The Case of the Eco-Bot Project" Energies 14, no. 12: 3556. https://doi.org/10.3390/en14123556

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