Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/134870
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Type: | Conference paper |
Title: | An assessment framework for classifying determinants of household water consumption and their priorities for research and practice |
Author: | Thyer, M. Maier, H. Cominola, A. Preiss, L. Prevos, P. Stewart, R. Castelletti, A. |
Citation: | Proceedings of the 24th International Congress on Modelling and Simulation (MODSIM 2021), 2021, pp.1-7 |
Publisher: | Modelling and Simulation Society of Australia and New Zealand |
Publisher Place: | Canberra, ACT, Australia |
Issue Date: | 2021 |
ISBN: | 9780987214393 |
ISSN: | 2981-8001 |
Conference Name: | International Congress on Modelling and Simulation (MODSIM) (5 Dec 2021 - 9 Dec 2021 : Sydney, NSW, Australia) |
Statement of Responsibility: | A. Cominola, L. Preiss, M. Thyer, H. R. Maier, P. Prevos, R. Stewart, and A. Castelletti |
Abstract: | Achieving a thorough understanding of the determinants of household water consumption is crucial to support demand management strategies. Yet, existing research on household water consumption determinants is often limited to specific case studies, with findings that are difficult to generalize and not conclusive. Here, we contribute a framework for review, classification, and analysis of the literature on the determinants of household water consumption. Firstly, we identify a comprehensive set of 48 relevant publications, based on a systematic paper search. The framework firstly classifies household determinants into observable (physically seen/measured aspects of the house), latent (relates to the way occupants think/act/feel) and external (external to house and influence at regional level). Secondly, we undertake a trade-off analysis of different criteria that account for the representation of a potential water consumption determinant in the literature, its impact across heterogeneous case studies, and the effort required to collect information on it. The results of our trade-off analysis show that distinct groups of determinants exist, allowing for the formulation of four recommendation categories. These provide guidance for practitioners on which determinants to consider in practice and for researchers to prioritize in future research (Figure 1). |
Keywords: | household water consumption; water consumption determinants; water demand management; smart meter; review |
Rights: | © the Authors and Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ) These proceedings are licensed under the terms of the Creative Commons Attribution 4.0 International CC BY License (http://creativecommons.org/licenses/by/4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you attribute MSSANZ and the original author(s) and source, provide a link to the Creative Commons licence and indicate if changes were made. Images or other third party material are included in this licence, unless otherwise indicated in a credit line to the material. |
DOI: | 10.36334/modsim.2021.j3.cominola |
Published version: | https://mssanz.org.au/ |
Appears in Collections: | Civil and Environmental Engineering publications |
Files in This Item:
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hdl_134870.pdf | Published version | 1.1 MB | Adobe PDF | View/Open |
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