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Erschienen in: Water Resources Management 10/2014

01.08.2014

Urban Household Water Demand in Beijing by 2020: An Agent-Based Model

verfasst von: Xiao-Chen Yuan, Yi-Ming Wei, Su-Yan Pan, Ju-Liang Jin

Erschienen in: Water Resources Management | Ausgabe 10/2014

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Abstract

Beijing is faced with severe water scarcity due to rapid socio-economic development and population expansion, and a guideline for water regulation has been released to control the volume of national water use. To cope with water shortage and meet regulation goal, it has great significance to study the variations of water demand. In this paper, an agent-based model named HWDP is developed for the prediction of urban household water demand in Beijing. The model involves stochastic behaviors and feedbacks caused by two agent roles which are government agent and household agent. The government agent adopts economic and propagandist means to make household agent optimize its water consumption. Additionally, the consumption is also affected by the basic water demand deduced from extended linear expenditure system. The results indicate that the total water demand of urban households in Beijing will increase to 317.5 million cubic meters by 2020, while the water price keeps growing at a low level. However, it would drop to 294.9 million cubic meters with high growth of water price and low increment in per capita disposable income. Finally, some policy recommendations on water regulation are made.

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Literatur
Zurück zum Zitat Ahmad S, Prashar D (2010) Evaluating municipal water conservation policies using a dynamic simulation model. Water Resour Manag 24(13):3371–3395CrossRef Ahmad S, Prashar D (2010) Evaluating municipal water conservation policies using a dynamic simulation model. Water Resour Manag 24(13):3371–3395CrossRef
Zurück zum Zitat Altunkaynak A, Özger M, Çakmakci M (2005) Water consumption prediction of Istanbul city by using fuzzy logic approach. Water Resour Manag 19(5):641–654CrossRef Altunkaynak A, Özger M, Çakmakci M (2005) Water consumption prediction of Istanbul city by using fuzzy logic approach. Water Resour Manag 19(5):641–654CrossRef
Zurück zum Zitat Alvisi S, Franchini M, Marinelli A (2003) A stochastic model for representing drinking water demand at residential level. Water Resour Manag 17(3):197–222CrossRef Alvisi S, Franchini M, Marinelli A (2003) A stochastic model for representing drinking water demand at residential level. Water Resour Manag 17(3):197–222CrossRef
Zurück zum Zitat Arbués F, García-Valiñas MÁ, Martínez-Espiñeira R (2003) Estimation of residential water demand: a state-of-the-art review. J Socio-Econ 32(1):81–102CrossRef Arbués F, García-Valiñas MÁ, Martínez-Espiñeira R (2003) Estimation of residential water demand: a state-of-the-art review. J Socio-Econ 32(1):81–102CrossRef
Zurück zum Zitat Arbués F, Barberán R, Villanúa I (2004) Price impact on urban residential water demand: a dynamic panel data approach. Water Resour Res 40(11), W11402 Arbués F, Barberán R, Villanúa I (2004) Price impact on urban residential water demand: a dynamic panel data approach. Water Resour Res 40(11), W11402
Zurück zum Zitat Arbués F, Villanúa I, Barberán R (2010) Household size and residential water demand: an empirical approach. Aust J Agric Resour Econ 54(1):61–80CrossRef Arbués F, Villanúa I, Barberán R (2010) Household size and residential water demand: an empirical approach. Aust J Agric Resour Econ 54(1):61–80CrossRef
Zurück zum Zitat Athanasiadis IN, Mentes AK, Mitkas PA, Mylopoulos YA (2005) A hybrid agent-based model for estimating residential water demand. Simulation 81(3):175–187CrossRef Athanasiadis IN, Mentes AK, Mitkas PA, Mylopoulos YA (2005) A hybrid agent-based model for estimating residential water demand. Simulation 81(3):175–187CrossRef
Zurück zum Zitat Babel MS, Gupta AD, Pradhan P (2007) A multivariate econometric approach for domestic water demand modeling: an application to Kathmandu, Nepal. Water Resour Manag 21(3):573–589CrossRef Babel MS, Gupta AD, Pradhan P (2007) A multivariate econometric approach for domestic water demand modeling: an application to Kathmandu, Nepal. Water Resour Manag 21(3):573–589CrossRef
Zurück zum Zitat Balling RC, Gober P (2007) Climate variability and residential water use in the city of Phoenix, Arizona. J Appl Meteorol Climatol 46(7):1130–1137CrossRef Balling RC, Gober P (2007) Climate variability and residential water use in the city of Phoenix, Arizona. J Appl Meteorol Climatol 46(7):1130–1137CrossRef
Zurück zum Zitat Barthel R, Janisch S, Schwarz N et al (2008) An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain. Environ Model Softw 23(9):1095–1121CrossRef Barthel R, Janisch S, Schwarz N et al (2008) An integrated modelling framework for simulating regional-scale actor responses to global change in the water domain. Environ Model Softw 23(9):1095–1121CrossRef
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2005) Beijing statistical yearbook 2005. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2005) Beijing statistical yearbook 2005. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2006) Beijing statistical yearbook 2006. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2006) Beijing statistical yearbook 2006. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2007) Beijing statistical yearbook 2007. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2007) Beijing statistical yearbook 2007. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2008) Beijing statistical yearbook 2008. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2008) Beijing statistical yearbook 2008. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2009) Beijing statistical yearbook 2009. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2009) Beijing statistical yearbook 2009. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2010) Beijing statistical yearbook 2010. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2010) Beijing statistical yearbook 2010. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2011) Beijing statistical yearbook 2011. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2011) Beijing statistical yearbook 2011. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Bureau of Statistics (2012) Beijing statistical yearbook 2012. China Statistics Press, Beijing (in Chinese) Beijing Municipal Bureau of Statistics (2012) Beijing statistical yearbook 2012. China Statistics Press, Beijing (in Chinese)
Zurück zum Zitat Beijing Municipal Commission of Development and Reform (2011) The twelfth five-year plan for the conservation and utilization of water resources (in Chinese) Beijing Municipal Commission of Development and Reform (2011) The twelfth five-year plan for the conservation and utilization of water resources (in Chinese)
Zurück zum Zitat Billings RB, Agthe DE (1998) State-space versus multiple regression for forecasting urban water demand. J Water Resour Plan Manag 124(2):113–117CrossRef Billings RB, Agthe DE (1998) State-space versus multiple regression for forecasting urban water demand. J Water Resour Plan Manag 124(2):113–117CrossRef
Zurück zum Zitat Browne AL, Medd W, Anderson B (2013) Developing novel approaches to tracking domestic water demand under uncertainty-a reflection on the “Up Scaling” of social science approaches in the United Kingdom. Water Resour Manag 27(4):1013–1035CrossRef Browne AL, Medd W, Anderson B (2013) Developing novel approaches to tracking domestic water demand under uncertainty-a reflection on the “Up Scaling” of social science approaches in the United Kingdom. Water Resour Manag 27(4):1013–1035CrossRef
Zurück zum Zitat Campisi-Pinto S, Adamowski J, Oron G (2012) Forecasting urban water demand via wavelet-denoising and neural network models. Case study: city of Syracuse, Italy. Water Resour Manag 26(12):3539–3558CrossRef Campisi-Pinto S, Adamowski J, Oron G (2012) Forecasting urban water demand via wavelet-denoising and neural network models. Case study: city of Syracuse, Italy. Water Resour Manag 26(12):3539–3558CrossRef
Zurück zum Zitat Chen H, Yang ZF (2009) Residential water demand model under block rate pricing: a case study of Beijing, China. Commun Nonlinear Sci Numer Simul 14(5):2462–2468CrossRef Chen H, Yang ZF (2009) Residential water demand model under block rate pricing: a case study of Beijing, China. Commun Nonlinear Sci Numer Simul 14(5):2462–2468CrossRef
Zurück zum Zitat Chu JY, Wang C, Chen JN, Wang H (2009) Agent-based residential water use behavior simulation and policy implications: a case-study in Beijing city. Water Resour Manag 23(15):3267–3295CrossRef Chu JY, Wang C, Chen JN, Wang H (2009) Agent-based residential water use behavior simulation and policy implications: a case-study in Beijing city. Water Resour Manag 23(15):3267–3295CrossRef
Zurück zum Zitat Danielson LE (1979) An analysis of residential demand for water using micro time-series data. Water Resour Res 15(4):763–767CrossRef Danielson LE (1979) An analysis of residential demand for water using micro time-series data. Water Resour Res 15(4):763–767CrossRef
Zurück zum Zitat Dharmaratna D, Harris E (2012) Estimating residential water demand using the Stone-Geary functional form: the case of Sri Lanka. Water Resour Manag 26(8):2283–2299CrossRef Dharmaratna D, Harris E (2012) Estimating residential water demand using the Stone-Geary functional form: the case of Sri Lanka. Water Resour Manag 26(8):2283–2299CrossRef
Zurück zum Zitat Espey M, Espey J, Shaw WD (1997) Price elasticity of residential demand for water: a meta-analysis. Water Resour Res 33(6):1369–1374CrossRef Espey M, Espey J, Shaw WD (1997) Price elasticity of residential demand for water: a meta-analysis. Water Resour Res 33(6):1369–1374CrossRef
Zurück zum Zitat Firat M, Yurdusev MA, Turan ME (2009) Evaluation of artificial neural network techniques for municipal water consumption modeling. Water Resour Manag 23(4):617–632CrossRef Firat M, Yurdusev MA, Turan ME (2009) Evaluation of artificial neural network techniques for municipal water consumption modeling. Water Resour Manag 23(4):617–632CrossRef
Zurück zum Zitat Fox C, McIntosh BS, Jeffrey P (2009) Classifying households for water demand forecasting using physical property characteristics. Land Use Policy 26(3):558–568CrossRef Fox C, McIntosh BS, Jeffrey P (2009) Classifying households for water demand forecasting using physical property characteristics. Land Use Policy 26(3):558–568CrossRef
Zurück zum Zitat Franczyk J, Chang H (2009) Spatial analysis of water use in Oregon, USA, 1985–2005. Water Resour Manag 23(4):755–774CrossRef Franczyk J, Chang H (2009) Spatial analysis of water use in Oregon, USA, 1985–2005. Water Resour Manag 23(4):755–774CrossRef
Zurück zum Zitat Galán JM, López-Paredes A, del Olmo R (2009) An agent-based model for domestic water management in Valladolid metropolitan area. Water Resour Res 45, W05401 Galán JM, López-Paredes A, del Olmo R (2009) An agent-based model for domestic water management in Valladolid metropolitan area. Water Resour Res 45, W05401
Zurück zum Zitat Gaudin S (2006) Effect of price information on residential water demand. Appl Econ 38(4):383–393CrossRef Gaudin S (2006) Effect of price information on residential water demand. Appl Econ 38(4):383–393CrossRef
Zurück zum Zitat Ghiassi M, Zimbra DK, Saidane H (2008) Urban water demand forecasting with a dynamic artificial neural network model. J Water Resour Plan Manag 134(2):138–146CrossRef Ghiassi M, Zimbra DK, Saidane H (2008) Urban water demand forecasting with a dynamic artificial neural network model. J Water Resour Plan Manag 134(2):138–146CrossRef
Zurück zum Zitat Gilbert N (2007) Agent based models. Sage, London Gilbert N (2007) Agent based models. Sage, London
Zurück zum Zitat Holland JH (1995) Hidden order: How adaptation builds complexity. Addison-Wesley, Reading Holland JH (1995) Hidden order: How adaptation builds complexity. Addison-Wesley, Reading
Zurück zum Zitat House-Peters LA, Chang H (2011) Urban water demand modeling: review of concepts, methods, and organizing principles. Water Resour Res 47, W05401 House-Peters LA, Chang H (2011) Urban water demand modeling: review of concepts, methods, and organizing principles. Water Resour Res 47, W05401
Zurück zum Zitat House-Peters L, Pratt B, Chang H (2010) Effects of urban spatial structure, sociodemographics, and climate on residential water consumption in Hillsboro, Oregon. J Am Water Resour Assoc 46(3):461–472 House-Peters L, Pratt B, Chang H (2010) Effects of urban spatial structure, sociodemographics, and climate on residential water consumption in Hillsboro, Oregon. J Am Water Resour Assoc 46(3):461–472
Zurück zum Zitat Howe CW, Linaweaver FP (1967) The impact of price on residential water demand and its relation to system design and price structure. Water Resour Res 3(1):13–32CrossRef Howe CW, Linaweaver FP (1967) The impact of price on residential water demand and its relation to system design and price structure. Water Resour Res 3(1):13–32CrossRef
Zurück zum Zitat Jin JL, Wei YM (2008) Generalized intelligent assessment methods for complex systems and applications. Science Press, Beijing (in Chinese) Jin JL, Wei YM (2008) Generalized intelligent assessment methods for complex systems and applications. Science Press, Beijing (in Chinese)
Zurück zum Zitat Li YH, Wang DX (2008) Analysis of the urban household water demand function and evaluation of the water saving effect of water tariff. J China Inst Water Resour Hydropower Res 6(2):156–160 (in Chinese) Li YH, Wang DX (2008) Analysis of the urban household water demand function and evaluation of the water saving effect of water tariff. J China Inst Water Resour Hydropower Res 6(2):156–160 (in Chinese)
Zurück zum Zitat Li XF, Liu GZ, He CZ (2001) Selection of forecast model for water consumption of Chengdu’s residents in the future. J Sichuan Univ (Eng Sci Ed) 33(6):104–107 (in Chinese) Li XF, Liu GZ, He CZ (2001) Selection of forecast model for water consumption of Chengdu’s residents in the future. J Sichuan Univ (Eng Sci Ed) 33(6):104–107 (in Chinese)
Zurück zum Zitat Lluch C (1973) The extended linear expenditure system. Eur Econ Rev 4(1):21–32CrossRef Lluch C (1973) The extended linear expenditure system. Eur Econ Rev 4(1):21–32CrossRef
Zurück zum Zitat Lyman RA (1992) Peak and off-peak residential water demand. Water Resour Res 28(9):2159–2167CrossRef Lyman RA (1992) Peak and off-peak residential water demand. Water Resour Res 28(9):2159–2167CrossRef
Zurück zum Zitat Mayer PW, DeOreo WB (1999) Residential end uses of water. AWWA Research Foundation, Denver Mayer PW, DeOreo WB (1999) Residential end uses of water. AWWA Research Foundation, Denver
Zurück zum Zitat Miller JH, Page SE (2007) Complex adaptive systems: An introduction to computational models of social life. Princeton University Press, Princeton Miller JH, Page SE (2007) Complex adaptive systems: An introduction to computational models of social life. Princeton University Press, Princeton
Zurück zum Zitat Milly PCD, Betancourt J, Falkenmark M et al (2008) Stationarity is dead: whither water management? Science 319:573–574CrossRef Milly PCD, Betancourt J, Falkenmark M et al (2008) Stationarity is dead: whither water management? Science 319:573–574CrossRef
Zurück zum Zitat Praskievicz S, Chang H (2009) Identifying the relationships between urban water consumption and weather variables in Seoul, Korea. Phys Geogr 30(4):324–337CrossRef Praskievicz S, Chang H (2009) Identifying the relationships between urban water consumption and weather variables in Seoul, Korea. Phys Geogr 30(4):324–337CrossRef
Zurück zum Zitat Qi C, Chang NB (2011) System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts. J Environ Manag 92(6):1628–1641CrossRef Qi C, Chang NB (2011) System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts. J Environ Manag 92(6):1628–1641CrossRef
Zurück zum Zitat Ruth M, Bernier C, Jollands N, Golubiewski N (2007) Adaptation of urban water supply infrastructure to impacts from climate and socioeconomic changes: the case of Hamilton, New Zealand. Water Resour Manag 21(6):1031–1045CrossRef Ruth M, Bernier C, Jollands N, Golubiewski N (2007) Adaptation of urban water supply infrastructure to impacts from climate and socioeconomic changes: the case of Hamilton, New Zealand. Water Resour Manag 21(6):1031–1045CrossRef
Zurück zum Zitat Schleich J, Hillenbrand T (2009) Determinants of residential water demand in Germany. Ecol Econ 68(6):1756–1769CrossRef Schleich J, Hillenbrand T (2009) Determinants of residential water demand in Germany. Ecol Econ 68(6):1756–1769CrossRef
Zurück zum Zitat Shandas V, Rao M, McGrath MM (2012) The implications of climate change on residential water use: a micro-scale analysis of Portland (OR), USA. J Water Clim Chang 3(3):225–238CrossRef Shandas V, Rao M, McGrath MM (2012) The implications of climate change on residential water use: a micro-scale analysis of Portland (OR), USA. J Water Clim Chang 3(3):225–238CrossRef
Zurück zum Zitat Valkering P, Tabara JD, Wallman P, Offermans A (2009) Modelling cultural and behavioural change in water management: an integrated, agent based, gaming approach. Integr Assess 9(1):19–46 Valkering P, Tabara JD, Wallman P, Offermans A (2009) Modelling cultural and behavioural change in water management: an integrated, agent based, gaming approach. Integr Assess 9(1):19–46
Zurück zum Zitat Wu L, Zhou HC (2010) Urban water demand forecasting based on HP filter and fuzzy neural network. J Hydroinformatics 12(2):172–184CrossRef Wu L, Zhou HC (2010) Urban water demand forecasting based on HP filter and fuzzy neural network. J Hydroinformatics 12(2):172–184CrossRef
Zurück zum Zitat Zhou SL, McMahon TA, Walton A, Lewis J (2000) Forecasting daily urban water demand: a case study of Melbourne. J Hydrol 236(3–4):153–164CrossRef Zhou SL, McMahon TA, Walton A, Lewis J (2000) Forecasting daily urban water demand: a case study of Melbourne. J Hydrol 236(3–4):153–164CrossRef
Metadaten
Titel
Urban Household Water Demand in Beijing by 2020: An Agent-Based Model
verfasst von
Xiao-Chen Yuan
Yi-Ming Wei
Su-Yan Pan
Ju-Liang Jin
Publikationsdatum
01.08.2014
Verlag
Springer Netherlands
Erschienen in
Water Resources Management / Ausgabe 10/2014
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-014-0649-4

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