Agent-Based Residential Water Use Behavior Simulation and Policy Implications: A Case-Study in Beijing City

Chu, Junying; Wang, Can; Chen, Jining; Wang, Hao

doi:10.1007/s11269-009-9433-2

Cited by 92 publications

(52 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Beyond damaging an individual's quality of life, water scarcity also negatively impacts ecosystem health and political and social stability [2]. Climate technology is economically affordable for households [21], they would adopt it and thus transition from the potential adopter state to the adopter state.…”

Section: Introductionmentioning

confidence: 99%

Understanding Fundamental Phenomena Affecting the Water Conservation Technology Adoption of Residential Consumers Using Agent-Based Modeling

Rasoulkhani

Logasa

Reyes

et al. 2018

Water

View full text Add to dashboard Cite

More than one billion people will face water scarcity within the next ten years due to climate change and unsustainable water usage, and this number is only expected to grow exponentially in the future. At current water use rates, supply-side demand management is no longer an effective way to combat water scarcity. Instead, many municipalities and water agencies are looking to demand-side solutions to prevent major water loss. While changing conservation behavior is one demand-based strategy, there is a growing movement toward the adoption of water conservation technology as a way to solve water resource depletion. Installing technology into one's household requires additional costs and motivation, creating a gap between the overall potential households that could adopt this technology, and how many actually do. This study identified and modeled a variety of demographic and household characteristics, social network influence, and external factors such as water price and rebate policy to see their effect on residential water conservation technology adoption. Using Agent-based Modeling and data obtained from the City of Miami Beach, the coupled effects of these factors were evaluated to examine the effectiveness of different pathways towards the adoption of more water conservation technologies. The results showed that income growth and water pricing structure, more so than any of the demographic or building characteristics, impacted household adoption of water conservation technologies. The results also revealed that the effectiveness of rebate programs depends on conservation technology cost and the affluence of the community. Rebate allocation did influence expensive technology adoption, with the potential to increase the adoption rate by 50%. Additionally, social network connections were shown to have an impact on the rate of adoption independent of price strategy or rebate status. These findings will lead the way for municipalities and other water agencies to more strategically implement interventions to encourage household technology adoption based on the characteristics of their communities.

show abstract

Section: Introductionmentioning

confidence: 99%

Understanding Fundamental Phenomena Affecting the Water Conservation Technology Adoption of Residential Consumers Using Agent-Based Modeling

Rasoulkhani

Logasa

Reyes

et al. 2018

Water

View full text Add to dashboard Cite

show abstract

“…Available water end-use data were used to build a number of end-use models across the world [2,9,[19][20][21][22]. While the scope and output scales of these models are different, the majority of these models predict water end-uses at small temporal and spatial scales including daily or sub-daily scale and at per person or household scale [2,19,[21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Seasonal Demand Dynamics of Residential Water End-Uses

Rathnayaka

Malano

Maheepala

et al. 2015

Water

View full text Add to dashboard Cite

Water demand prediction by end-use at an appropriate spatial and temporal resolution is essential for planning water supply systems that will supply water from a diversified set of sources on a fit-for-purpose basis. Understanding seasonal, daily and sub-daily water demand including peak demand by end-uses is an essential planning requirement to implement a fit-for-purpose water supply strategy. Studies in the literature assume that all indoor water uses except evaporative cooler water use are weather independent and do not exhibit seasonal variability. This paper presents an analysis undertaken to examine seasonal variability of residential water end-uses. The analysis was repeated using two sets of data to ensure the validity of findings. The study shows that shower water use is significantly different between winter and summer, in addition to irrigation, evaporative cooler and pool water end-uses, while other water end-uses are not. Weather is shown to be a significant determinant of shower water use; in particular it affects shower duration which increases with lower temperature. Further analysis on OPEN ACCESSWater 2015, 7 203shower water use suggests that it is driven by behavioural factors in addition to weather, thus providing useful insights to improve detailed end-use water demand predictions.

show abstract

“…This type of dynamic and adaptive system can be simulated using an ABM approach where agents represent individual reactive and autonomous decision-making units, including human actors, and are capable of adapting to inputs from other agents and a shared environment through a set of logical and mathematical rules that specify behavioral decisions [24][25][26]. Several studies of urban water management used ABM approaches and focused primarily on demand-side management through pricing [27,28] and non-pricing [2,[29][30][31] conservation measures; none of these studies, however, incorporated supply-side decisions. Giacomoni et al [9] developed an ABM framework to simulate the dynamics of land use change, population growth, and adaptations of water demands and the effects on water sustainability.…”

Section: Problem Descriptionmentioning

confidence: 99%

Exploring Tradeoffs in Demand-Side and Supply-Side Management of Urban Water Resources Using Agent-Based Modeling and Evolutionary Computation

Kanta

Berglund

2015

Systems

View full text Add to dashboard Cite

Abstract:Urban water supply systems may be managed through supply-side and demand-side strategies, which focus on water source expansion and demand reductions, respectively. Supply-side strategies bear infrastructure and energy costs, while demand-side strategies bear costs of implementation and inconvenience to consumers. To evaluate the performance of demand-side strategies, the participation and water use adaptations of consumers should be simulated. In this study, a Complex Adaptive Systems (CAS) framework is developed to simulate consumer agents that change their consumption to affect the withdrawal from the water supply system, which, in turn influences operational policies and long-term resource planning. Agent-based models are encoded to represent consumers and a policy maker agent and are coupled with water resources system simulation models. The CAS framework is coupled with an evolutionary computation-based multi-objective methodology to explore tradeoffs in cost, inconvenience to consumers, and environmental impacts for both supply-side and demand-side strategies. Decisions are identified to specify storage levels in a reservoir that trigger: (1) increases in the volume of water pumped through inter-basin transfers from an external reservoir; and (2) drought stages, which restrict the volume of water that is allowed for residential outdoor uses. The proposed methodology is demonstrated for Arlington, Texas, water supply system to identify non-dominated strategies for an historic drought decade. Results demonstrate that pumping costs associated with maximizing

show abstract

Agent-Based Residential Water Use Behavior Simulation and Policy Implications: A Case-Study in Beijing City

Cited by 92 publications

References 26 publications

Understanding Fundamental Phenomena Affecting the Water Conservation Technology Adoption of Residential Consumers Using Agent-Based Modeling

Understanding Fundamental Phenomena Affecting the Water Conservation Technology Adoption of Residential Consumers Using Agent-Based Modeling

Seasonal Demand Dynamics of Residential Water End-Uses

Exploring Tradeoffs in Demand-Side and Supply-Side Management of Urban Water Resources Using Agent-Based Modeling and Evolutionary Computation

Contact Info

Product

Resources

About