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

被引:36
作者
Yuan, Xiao-Chen [1 ,2 ]
Wei, Yi-Ming [1 ,2 ]
Pan, Su-Yan [1 ,2 ]
Jin, Ju-Liang [1 ,3 ]
机构
[1] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[3] Hefei Univ Technol, Sch Civil Engn, Hefei 230009, Peoples R China
基金
中国国家自然科学基金;
关键词
Water demand; Agent; Extended linear expenditure system; Genetic algorithm; NEURAL-NETWORK; RESIDENTIAL DEMAND; CLIMATE-CHANGE; CONSUMPTION; PRICE; IMPACT; CITY; USA;
D O I
10.1007/s11269-014-0649-4
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:2967 / 2980
页数:14
相关论文
共 54 条
[1]   Evaluating Municipal Water Conservation Policies Using a Dynamic Simulation Model [J].
Ahmad, Sajjad ;
Prashar, Dinesh .
WATER RESOURCES MANAGEMENT, 2010, 24 (13) :3371-3395
[2]   Water consumption prediction of Istanbul City by using fuzzy logic approach [J].
Altunkaynak, A ;
Özger, M ;
Çakmakci, M .
WATER RESOURCES MANAGEMENT, 2005, 19 (05) :641-654
[3]   A stochastic model for representing drinking water demand at residential level [J].
Alvisi, S ;
Franchini, M ;
Marinelli, A .
WATER RESOURCES MANAGEMENT, 2003, 17 (03) :197-222
[4]  
[Anonymous], 2010, BEIJ STAT YB 2010
[5]  
[Anonymous], 2005, BEIJ STAT YB 2005
[6]   Price impact on urban residential water demand:: A dynamic panel data approach -: art. no. W11402 [J].
Arbués, F ;
Barberán, R ;
Villanúa, I .
WATER RESOURCES RESEARCH, 2004, 40 (11) :W1140201-W1140209
[7]  
Arbues F., 2003, J SOCIO-ECON, V32, P81, DOI DOI 10.1016/S1053-5357(03)00005-2
[8]   Household size and residential water demand: an empirical approach [J].
Arbues, Fernando ;
Villanua, Inmaculada ;
Barberan, Ramon .
AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2010, 54 (01) :61-80
[9]   A hybrid agent-based model for estimating residential water demand [J].
Athanasiadis, IN ;
Mentes, AK ;
Mitkas, PA ;
Mylopoulos, YA .
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2005, 81 (03) :175-187
[10]   A multivariate econometric approach for domestic water demand modeling: An application to Kathmandu, Nepal [J].
Babel, M. S. ;
Das Gupta, A. ;
Pradhan, P. .
WATER RESOURCES MANAGEMENT, 2007, 21 (03) :573-589