Classifying households for water demand forecasting using physical property characteristics

Abstract Changes in population distribution across Europe are driving the construction of substantial numbers of new houses, creating a need to forecast water demand for new housing developments. The most certain information available on new households during planning are the physical characteristics of the properties themselves. This paper sets out to establish how to classify properties in terms of their physical characteristics for the purpose of forecasting water demand. Analysis of household water demand under a univariate classification of property type showed significant differences for properties of different size (number of bedrooms), architectural type (e.g. flats vs. terraced) and garden presence but not for age or for garden aspect. Analysis of household water demand under a multivariate classification of property type showed fewer significant differences between property types. The results of the study were compared to studies and found to fit qualitatively. However, quantitative differences were noted indicating geographical and sampling variation which requires further investigation. In addition, further research is required to determine the relative certainty of forecasts derived from physical vs. socio-economic or demographic characteristics.

[1]  P. Ogden,et al.  The second demographic transition, new household forms and the urban population of France during the 1990s , 2004 .

[2]  David Butler,et al.  Water demand management , 2006 .

[3]  T. McMahon,et al.  Forecasting operational demand for an urban water supply zone , 2002 .

[4]  Quanxi Shao,et al.  Predicting and understanding home garden water use , 2004 .

[5]  S. Downward,et al.  An assessment of Spain's Programa AGUA and its implications for sustainable water management in the province of Almería, southeast Spain. , 2007, Journal of environmental management.

[6]  J. Rintala,et al.  Thermophilic Anaerobic–Aerobic and Aerobic Treatment of Kraft Bleaching Effluents , 1993 .

[7]  Peter W. Whitford.  Residential water demand forecasting , 1972 .

[8]  P. Gleick.  The World's Water 2000-2001: The Biennial Report On Freshwater Resources , 1998 .

[9]  Hubert H. G. Savenije,et al.  FORECAST OF WATER DEMAND IN WEINAN CITY IN CHINA USING WDF-ANN MODEL , 2003 .

[10]  Raymond E. Volker,et al.  DETERMINISTIC MODELS FOR PREDICTING RESIDENTIAL WATER CONSUMPTION1 , 1981 .

[11]  M. J. Hall,et al.  Domestic per Capita Water Consumption in South West England , 1988 .

[12]  Elizabeth Shove,et al.  Infrastructures of Consumption: Environmental Innovation in the Utility Industries , 2005 .

[13]  R. Martínez-Espiñeira,et al.  Residential Water Demand in the Northwest of Spain , 2002 .

[14]  Bruce R. Beattie,et al.  Urban Residential Demand for Water in the United States , 1979 .

[15]  M. Sharifzadeh,et al.  Rural domestic water consumption behavior: A case study in Ramjerd area, Fars province, I.R. Iran. , 2006, Water research.

[16]  F. Cubillo.  Impact of end uses knowledge in demand strategic planning for Madrid , 2005 .

[17]  Graham Clarke,et al.  Estimating Small Area Demand for Water: A New Methodology , 1997 .

[18]  C. Goodchild.  MODELLING THE IMPACT OF CLIMATE CHANGE ON DOMESTIC WATER DEMAND , 2003 .

[19]  N. Gallent.  Regional Housing Figures in England: Policy, Politics and Ownership , 2005 .

[20]  V. Gardiner,et al.  Water Demand Forecasting , 1986 .

[21]  D. Marshallsay,et al.  Using measured microcomponent data to model the impact of water conservation strategies on the diurnal consumption profile , 2005 .

[22]  Darren Holloway,et al.  The use of residential water consumption as an urban planning tool: a pilot study in Adelaide , 2004 .

[23]  Graeme C. Dandy,et al.  Estimating Residential Water Demand in the Presence of Free Allowances , 1997 .

[24]  Robert M. Bradley.  Forecasting Domestic Water Use in Rapidly Urbanizing Areas in Asia , 2004 .

[25]  D. Saurí,et al.  Urbanisation and Water Consumption: Influencing Factors in the Metropolitan Region of Barcelona , 2006 .

[26]  M. J. Norušis,et al.  SPSS 13.0 Guide to Data Analysis , 2000 .

[27]  K. R. Rushton,et al.  Insights into domestic demand from a metering trial , 1991 .

[28]  Clive Jones,et al.  Forecasting Urban Water Demand , 1995 .

[29]  Akira Koizumi,et al.  Estimating regional water demand in Seoul, South Korea, using principal component and cluster analysis , 2005 .

[30]  T. Hall,et al.  The Million Homes Programme: a review of the great Swedish planning project , 2005 .

[31]  Pauline M McGuirk,et al.  Watering the suburbs: distinction, conformity and the suburban garden , 2004 .

[32]  K.H.V. Durga Rao,et al.  Multi-criteria spatial decision analysis for forecasting urban water requirements: a case study of Dehradun city, India , 2005 .

[33]  Jack A. Weber.  Forecasting Demand and Measuring Price Elasticity , 1989 .

[34]  Henning Nuissl,et al.  Decline and sprawl: an evolving type of urban development – observed in Liverpool and Leipzig1 , 2005 .

[35]  Minoru Maruyama,et al.  Water Demand Forecasting by Memory Based Learning , 1993 .

[36]  M. Libânio,et al.  Assessing the relevance of intervening parameters on the per capita water consumption rates in Brazilian urban communities , 2005 .

[37]  D. Day,et al.  Forecasting peak demand - what do we need to know? , 2003 .

[38]  Rudolph C. Metzner.  Demand Forecasting: A Model for San Francisco , 1989 .

[39]  Christine W. Chan,et al.  A toolset for construction of hybrid intelligent forecasting systems: application for water demand prediction , 1999, Artif. Intell. Eng..