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

Authored by Xiao-Chen Yuan, Yi-Ming Wei, Su-Yan Pan, Ju-Liang Jin

Date Published: 2014-08

DOI: 10.1007/s11269-014-0649-4

Sponsors: Chinese National Natural Science Foundation National Basic Research Program of China S&T Program of MOST Public Welfare Industry Funding for Research and Special Projects of Ministry of Water Resources of China

Platforms: Swarm

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

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.

Tags

Agent Genetic algorithm Extended linear expenditure system Water demand