Can Smart Meters Create Smart Behaviour?

Authors: Candice Moy, Damien Guirco, Thomas Boyle

Abstract:

Intelligent technologies are increasingly facilitating sustainable water management strategies in Australia. While this innovation can present clear cost benefits to utilities through immediate leak detection and deference of capital costs, the impact of this technology on households is less distinct. By offering real-time engagement and detailed end-use consumption breakdowns, there is significant potential for demand reduction as a behavioural response to increased information. Despite this potential, passive implementation without well-planned residential engagement strategies is likely to result in a lost opportunity. This paper begins this research process by exploring the effect of smart water meters through the lens of three behaviour change theories. The Theory of Planned Behaviour (TPB), Belief Revision theory (BR) and Practice Theory emphasise different variables that can potentially influence and predict household water engagements. In acknowledging the strengths of each theory, the nuances and complexity of household water engagement can be recognised which can contribute to effective planning for residential smart meter engagement strategies.

Keywords: Behaviour, information, household, smart meters, water.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1087127

References:

[1] D.P. Giurco, S.B. White, S.B. and R. Stewart, “Smart metering and water end-use data: Conservation benefits and privacy risks”, Water, vol. 2, no. 3, pp.461-467, 2010.
[2] I. Azjen, “The theory of planned behavior”,Organisational Behaviour and Human Decision Processes, vol. 50, no. 2, pp.179-211, 1991.
[3] G. Godin and G. Kok, “The theory of planned behavior: A review of its applications to health-related behaviors”, American Journal of Health Promotion, vol. 11, no. 2, pp.87-98, 1996.
[4] P. Sheeran, M. Conner. and P. Norman, “Can the Theory of Planned Behavior explain patterns of health behavior change? Health Psychology, vol. 20, no. 1, pp.12-19, 2001.
[5] P. Norman, M. Conner and R. Bell, “The theory of planned behavior and smoking cessation” Health Psychology, vol. 18, no. 1, pp.89-94, 1999.
[6] M. Conner, P. Norman, P. and R. Bell, R, “The theory of planned behavior and healthy eating” Health Psychology, 22(2), pp.194-201, 2002.
[7] D.E. Schifter and I. Ajzen, “Intention, perceived control, and weight loss: An application of the theory of planned behavior”, Journal of Personality and Social Psychology, vol. 49, no. 3, pp.843-851, 1985.
[8] K.S. Courneya and E. McAuley, “Cognitive mediators of the social influence-exercise adherence relationship: A test of the theory of planned behavior”, Journal of Behavioral Medicine, vol. 18, no.5, pp.499-515, 1995.
[9] C.J. Armitage, “Can the Theory of Planned Behavior Predict the Maintenance of Physical Activity?”, Health Psychology, vol. 24, no. 3, pp.235-245, 2005.
[10] C.J. Armitage and M. Conner, “Efficacy of the Theory of Planned Behaviour: A meta-analytic review” British Journal of Social Psychology, vol. 40, no. 4, pp.471-499, 2001.
[11] S. Munro, S. Lewin, T. Swart and J. Volmink, “A review of health behaviour theories: how useful are these for developing interventions to promote long-term medication adherence for TB and HIV/AIDS?” BMC Public Health, vol.7, no.104, 2007.
[12] S. Sutton, S, “Predicting and Explaining Intentions and Behavior: How Well Are We Doing?” Journal of Applied Social Psychology, vol.28, no.15, pp.1317-1338, 1998.
[13] J.B.F. de Wit, W. Stroebe, E.M.M. Vroome, T.G.M. Sandfort, G.J.P. van Griensven, “Understanding AIDS preventive behavior with casual and primary partners in homosexual men: The Theory of Planned Behavior and the information-motivation-behavioral-skills model” Psychology & Health, vol. 15, no. 3, pp.325-340, 2000.
[14] V. Strang, The meaning of water, Berg, Oxford, 2004.
[15] L.M. Gibbs, “Valuing water: Variability and the Lake Eyre Basin, Central Australia”, Australian Geographer, vol.37, no.1, pp.73-85, 2006.
[16] S. Jackson, N. Stoeckl, A. Straton and O. Stanley, “The changing value of australian tropical rivers”Geographical Research, Vol.46, no.3, pp.275-290, 2008.
[17] E. Shove, Comfort, Cleanliness and Convenience: The Social Organization of Normality, Oxford: Berg, 2003.
[18] M. Kaika, M, City of flows: modernity, nature, and the city, New York: Routledge, 2005.
[19] G. Davison, “Down the gurglerQ: Historical influences on Australian domestic water consumption” in Troubled Waters: Confronting the water crisis in Australian cities, P. Troy and P. Nicol, Canberra: ANU E Press, pp. 37-65, 2008.
[20] S.J Kantola, G.J Syme and N.A. Campbell, “The role of individual differences and external variables in a test of the sufficiency of fishbein’s model to explain behavioral intentions to conserve water”,Journal of Applied Social Psychology, vol.12, no.1, pp.70-83, 1982.
[21] C. Seligman, D. Hall and J. Finegan, “Predicting home energy consumption: An application of the Fishbein-Ajzen model”Advances in Consumer Research, vol. 10, pp.647-651, 1983.
[22] M. Tongleta, P.S. Phillips and A.D. Read, “Using the Theory of Planned Behaviour to investigate the determinants of recycling behaviour: a case study from Brixworth”, Resources, Conservation and Recycling, vol.41, no.3, pp.191-214, 2004.
[23] A. Hurlimann, S. Dolnicar and P. Meyer, “Understanding behaviour to inform water supply management in developed nations – A review of literature, conceptual model and research agenda”. Journal of Environmental Management, Vol.91, pp.47-56.
[24] G. Tselekidis, P. Peppas and M. Williams, “Belief revision and organisational knowledge dynamics”. Journal of the Operational Research Society, vol.54, no.9, pp.914-923, 2003.
[25] Z. Sofoulis, Z, “Big Water, Everyday Water: A Sociotechnical Perspective”, Continuum: Journal of Media & Cultural Studies, vol.19, no.4, pp.445-463, 2005.
[26] A. Warde, “Consumption and Theories of Practice”, Journal of Consumer Culture, vol.5, no.2, pp.131-135, 2005.
[27] Y. Strengers, “Challenging comfort & cleanliness norms through interactive in-home feedback systems”, Green Pervasive Workshop at Persuasive 2008, Sydney, 19 May, 2008.
[28] S.Darby, The Effectiveness of Feedback on Energy Consumption: A Review for DEFRA on the Literature on Metering, Billing and Direct Displays, Oxford: Environmental Change Institute, University of Oxford, 2006.
[29] Y. Strengers, Y., 2009, “Bridging the divide between resource management and everyday life”, Social Science, September, 2009.
[30] T. Hargreaves, M. Nye, J. Burgess, J, “Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors”, Energy Policy, vol.38, no.10, pp.6111-6119, 2010.
[31] C. Fischer, “Feedback on household electricity consumption: a tool for saving energy?”,Energy Efficiency, vol.1, no.1, pp.79-104, 2008.
[32] M. Chetty, D. Tran and R.E Grinter, “ Getting to GreenQ: Understanding Resource Consumption in the Home”, UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing, pp.242-251, 2008.
[33] S.S. Intille, “Designing a home of the future”, IEEE Pervasive Computing, vol.1, no.2, pp.76-82, 2002.
[34] H. Wilhite, and R. Ling, R, “Measured energy savings from a more informative energy bill”, Energy and Buildings, vol.22, pp.145-155, 1995.
[35] R. Willis, R. Stweart, L. Chen, L. Rutherford, “Water end use consumption analysis into Gold Coat dual retriculated households: Pilot”, Australia’s National Water Conference and Oz Water 09’, Melbuourne Convention Centre, March 2009.
[36] J.M. Bohli, C. Sorge, and O. Ugus, “A Privacy Model for Smart Metering”, In Commuincations Workshops (ICC), 2010 IEEE International Conference on. pp. 1-5, 2010.
[37] Sydney Water, “The history of Water Wise rules”, Available at: http://www.sydneywater.com.au/water4life/waterwise/WhenWereWater RestrictionsIntroduced.cfm (Accessed March 8, 2012).
[38] Bureau of Meteorolgy, Annual Australian Climate Statement 2011. http://www.bom.gov.au/announcements/media_releases/climate/change/ 20120104.shtml (Accessed March 5, 2012).
[39] ABC News, Smart meters causing havoc. Inside Business. Available at: http://www.abc.net.au/insidebusiness/content/2011/s3259653.htm, 2011 (Accessed March 8, 2012).
[40] P. Newman, P,“Sustainable Cities of the Future: The Behavior Change Driver”,Sustainable Development, Law & Policy, vol.11, no.1, 2010.