Evaluating a novel tiered scarcity adjusted water budget and pricing structure using a holistic systems modelling approach.

Population growth, coupled with declining water availability and changes in climatic conditions underline the need for sustainable and responsive water management instruments. Supply augmentation and demand management are the two main strategies used by water utilities. Water demand management has long been acknowledged as a least-cost strategy to maintain water security. This can be achieved in a variety of ways, including: i) educating consumers to limit their water use; ii) imposing restrictions/penalties; iii) using smart and/or efficient technologies; and iv) pricing mechanisms. Changing water consumption behaviours through pricing or restrictions is challenging as it introduces more social and political issues into the already complex water resources management process. This paper employs a participatory systems modelling approach for: (1) evaluating various forms of a proposed tiered scarcity adjusted water budget and pricing structure, and (2) comparing scenario outcomes against the traditional restriction policy regime. System dynamics modelling was applied since it can explicitly account for the feedbacks, interdependencies, and non-linear relations that inherently characterise the water tariff (price)-demand-revenue system. A combination of empirical water use data, billing data and customer feedback on future projected water bills facilitated the assessment of the suitability and likelihood of the adoption of scarcity-driven tariff options for a medium-sized city within Queensland, Australia. Results showed that the tiered scarcity adjusted water budget and pricing structure presented was preferable to restrictions since it could maintain water security more equitably with the lowest overall long-run marginal cost.

[1]  R. Stewart,et al.  Water security through scarcity pricing and reverse osmosis: A system dynamics approach , 2015 .

[2]  Rodney Anthony Stewart,et al.  Demand-side management for supply-side efficiency: Modeling tailored strategies for reducing peak residential water demand , 2016 .

[3]  J. Pittock,et al.  Australia Demonstrates the Planet's Future: Water and Climate in the Murray–Darling Basin , 2010 .

[4]  Rodney Anthony Stewart,et al.  Time of use tariffs: implications for water efficiency , 2012 .

[5]  Anthony J. Jakeman,et al.  Selecting among five common modelling approaches for integrated environmental assessment and management , 2013, Environ. Model. Softw..

[6]  Rodney Anthony Stewart,et al.  Smart metering: enabler for rapid and effective post meter leakage identification and water loss management , 2013 .

[7]  Alison Williams,et al.  A dynamic simulation based water resources education tool. , 2009, Journal of environmental management.

[8]  Michael Batty,et al.  Ucl Centre for Advanced Spatial Analysis Working Papers Series Key Challenges in Agent-based Modelling for Geo-spatial Simulation Paper 121 -sept 07 Key Challenges in Agent-based Modelling for Geo-spatial Simulation , 2022 .

[9]  Rodney Anthony Stewart,et al.  Air source heat pump water heaters in residential buildings in Australia: Identification of key performance parameters , 2015 .

[10]  Oz Sahin,et al.  Showering behavioural response to alarming visual display monitors: longitudinal mixed method study , 2013, Behav. Inf. Technol..

[11]  Rodney Anthony Stewart,et al.  Evaluating the energy and carbon reductions resulting from resource-efficient household stock , 2012 .

[12]  Margee Hume,et al.  Creating positive habits in water conservation: the case of the Queensland Water Commission and the Target 140 campaign , 2011 .

[13]  J. Gardner,et al.  An experimental test of voluntary strategies to promote urban water demand management. , 2013, Journal of environmental management.

[14]  Helen Higgs,et al.  Urban Water Demand with Fixed Volumetric Charging in a Large Municipality: The Case of Brisbane, Australia , 2006 .

[15]  G H Huang,et al.  A system dynamics approach for regional environmental planning and management: a study for the Lake Erhai Basin. , 2001, Journal of environmental management.

[16]  Prem Vrat,et al.  Application of a system dynamics approach for assessment and mitigation of CO2 emissions from the cement industry. , 2006, Journal of environmental management.

[17]  Inmaculada Villanúa,et al.  Price impact on urban residential water demand: A dynamic panel data approach , 2004 .

[18]  Oz Sahin,et al.  Paradigm shift to enhanced water supply planning through augmented grids, scarcity pricing and adaptive factory water: A system dynamics approach , 2016, Environ. Model. Softw..

[19]  Y. Barlas,et al.  Environmental sustainability in an agricultural development project: a system dynamics approach. , 2002, Journal of environmental management.

[20]  N. Oreskes The Scientific Consensus on Climate Change , 2004, Science.

[21]  R. Stewart,et al.  Implementation of Pressure and Leakage Management Strategies on the Gold Coast, Australia: Case Study , 2007 .

[22]  Ashok Sharma,et al.  Communal rainwater tank systems design and economies of scale , 2014 .

[23]  R. Huggett,et al.  Modelling the Human Impact on Nature: Systems Analysis of Environmental Problems , 1993 .

[24]  Joseph H. A. Guillaume,et al.  Characterising performance of environmental models , 2013, Environ. Model. Softw..

[25]  Jay W. Forrester,et al.  Industrial Dynamics---A Response to Ansoff and Slevin , 1968 .

[26]  Ni-Bin Chang,et al.  System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts. , 2011, Journal of environmental management.

[27]  Jery R. Stedinger,et al.  Water Resources Systems Planning And Management , 2006 .

[28]  Rodney Anthony Stewart,et al.  Drought and Desalination: Melbourne water supply and development choices in the twenty-first century , 2015 .

[29]  Julien J. Harou,et al.  Design and assessment of an efficient and equitable dynamic urban water tariff. Application to the city of Valencia, Spain , 2018, Environ. Model. Softw..

[30]  Edoardo Bertone,et al.  A systems approach for assessing water conservation potential through demand-based water tariffs , 2017 .

[31]  Sheila M. Olmstead,et al.  Water Demand Under Alternative Price Structures , 2007 .

[32]  M. V. D. Belt,et al.  Mediated Modeling: A System Dynamics Approach To Environmental Consensus Building , 2004 .

[33]  Rodney Anthony Stewart,et al.  Long-term water supply planning in an Australian coastal city: Dams or desalination? , 2015 .

[34]  Stephanie A. Tanverakul,et al.  Price elasticity of residential water demand in California , 2015 .

[35]  Alexandra Aguirre‐Rodriguez,et al.  The Effect of Consumer Persuasion Knowledge on Scarcity Appeal Persuasiveness , 2013 .

[36]  Richard S. Sojda,et al.  Empirical evaluation of decision support systems: Needs, definitions, potential methods, and an example pertaining to waterfowl management , 2007, Environ. Model. Softw..

[37]  Rodney Anthony Stewart,et al.  End use water consumption in households: impact of socio-demographic , 2013 .

[38]  Jay W. Forrester,et al.  System dynamics, systems thinking, and soft OR , 1994 .

[39]  Michael B. Ward,et al.  Prices Versus Rationing: Marshallian Surplus and Mandatory Water Restrictions , 2008 .

[40]  SourceOECD Pricing water resources and water and sanitation services , 2010 .

[41]  Yaman Barlas,et al.  Philosophical roots of model validation: Two paradigms , 1990 .

[42]  Hong Zhang,et al.  An intelligent pattern recognition model to automate the categorisation of residential water end-use events , 2013, Environ. Model. Softw..

[43]  Neal Hughs,et al.  Urban Water Management: Optimal Price and Investment Policy Under Climate Variability , 2009 .

[44]  Jac A. M. Vennix,et al.  Group model‐building to facilitate organizational change: an exploratory study , 1996 .

[45]  Rodney Anthony Stewart,et al.  Identifying Residential Water End Uses Underpinning Peak Day and Peak Hour Demand , 2014 .

[46]  Allyson M. Beall,et al.  Exploring the Implications of Climate Change on Water Resources through Participatory Modeling: Case Study of the Okanagan Basin, British Columbia , 2009 .