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The Missing Link? Insights from an Innovative Feedback Exercise for Household Electricity and Travel Behaviour

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  • Malek Al-Chalabi

    (Environmental Change Institute, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK
    Transport Studies Unit, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK)

  • David Banister

    (Transport Studies Unit, School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, UK)

Abstract

The objective of this study was to explore how individuals perceive their different types of energy use and evaluate if this information could be useful for further understanding energy demand reduction. Based on a literature review, an innovative feedback exercise was developed that gave participants feedback on electricity use, travel, and then both electricity use and travel simultaneously. Through the use of an interdisciplinary mixed methods research approach, the findings indicate that electricity use and travel are viewed as being very different, there is an opportunity to improve travel-related feedback when compared to electricity, and most do not see a link between electricity and travel. A small number of participants did see a link between electricity and travel, and this was also explored. These findings, which until now have not been explored in the literature, take a first attempt at comparing how individuals perceive their different types of energy use and highlight the relevance of this type of research in order to further advance energy demand management. Implications for a low carbon energy transition and future areas of research were identified and discussed, including decreasing travel in a way that is perceived as being advantageous, improving feedback that illustrates the importance of individual choices, and the importance of examining multiple energy behaviours simultaneously.

Suggested Citation

  • Malek Al-Chalabi & David Banister, 2022. "The Missing Link? Insights from an Innovative Feedback Exercise for Household Electricity and Travel Behaviour," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9115-:d:871258
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    References listed on IDEAS

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    1. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    2. Song, Kwonsik & Anderson, Kyle & Lee, SangHyun, 2020. "An energy-cyber-physical system for personalized normative messaging interventions: Identification and classification of behavioral reference groups," Applied Energy, Elsevier, vol. 260(C).
    3. Druckman, Angela & Jackson, Tim, 2009. "The carbon footprint of UK households 1990-2004: A socio-economically disaggregated, quasi-multi-regional input-output model," Ecological Economics, Elsevier, vol. 68(7), pages 2066-2077, May.
    4. Brühl, Johanna & Smith, Grant & Visser, Martine, 2019. "Simple is good: Redesigning utility bills to reduce complexity and increase understanding," Utilities Policy, Elsevier, vol. 60(C), pages 1-1.
    5. Anna Mengolini & Flavia Gangale & Julija Vasiljevska, 2016. "Exploring Community-Oriented Approaches in Demand Side Management Projects in Europe," Sustainability, MDPI, vol. 8(12), pages 1-12, December.
    6. Burchell, Kevin & Rettie, Ruth & Roberts, Tom C., 2016. "Householder engagement with energy consumption feedback: the role of community action and communications," Energy Policy, Elsevier, vol. 88(C), pages 178-186.
    7. Wu, Geng & Inderbitzin, Alessandro & Bening, Catharina, 2015. "Total cost of ownership of electric vehicles compared to conventional vehicles: A probabilistic analysis and projection across market segments," Energy Policy, Elsevier, vol. 80(C), pages 196-214.
    8. Francesca Cellina & Dominik Bucher & José Veiga Simão & Roman Rudel & Martin Raubal, 2019. "Beyond Limitations of Current Behaviour Change Apps for Sustainable Mobility: Insights from a User-Centered Design and Evaluation Process," Sustainability, MDPI, vol. 11(8), pages 1-26, April.
    9. Jacopo Gaspari & Ernesto Antonini & Lia Marchi & Vincenzo Vodola, 2021. "Energy Transition at Home: A Survey on the Data and Practices That Lead to a Change in Household Energy Behavior," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    10. Jessica K. Breadsell & Joshua J. Byrne & Gregory M. Morrison, 2019. "Household Energy and Water Practices Change Post-Occupancy in an Australian Low-Carbon Development," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    11. Anderson, Kyle & Song, Kwonsik & Lee, SangHyun & Krupka, Erin & Lee, Hyunsoo & Park, Moonseo, 2017. "Longitudinal analysis of normative energy use feedback on dormitory occupants," Applied Energy, Elsevier, vol. 189(C), pages 623-639.
    12. Stefano De Dominicis & Rebecca Sokoloski & Christine M. Jaeger & P. Wesley Schultz, 2019. "Making the smart meter social promotes long-term energy conservation," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-8, December.
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    Cited by:

    1. Malek Al-Chalabi, 2023. "Targeted and Tangential Effects—A Novel Framework for Energy Research and Practitioners," Sustainability, MDPI, vol. 15(17), pages 1-12, August.

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