An agent‐based model for domestic water management in Valladolid metropolitan area

Galán, José Manuel; López-Paredes, Adolfo; Olmo, Ricardo del

doi:10.1029/2007wr006536

Cited by 127 publications

(59 citation statements)

References 71 publications

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“…Ref. [50] demonstrated that the ABM is a useful methodological approach to dealing with the complexity derived from multiple factors with influence in the domestic water management in emergent metropolitan areas. Ref.…”

Section: Agent-based Modelingmentioning

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

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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.

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Section: Agent-based Modelingmentioning

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

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“…Detailed, citywide ABM representation also holds promise as an integrator of multiple modeling approaches. Galán et al (2009) model technologies for household water conservation, showing that urban population dynamics and other sociogeographic effects influence technology spread in a way that may not be apparent in aggregate modeling. Such efforts highlight the different motivations, different decision frames, and different timescales relevant to water providers, sewerage providers, and water consumers, and how each can affect decisions in a dynamic context.…”

Section: Innovation In Contextmentioning

confidence: 99%

The Innovation Deficit in Urban Water: The Need for an Integrated Perspective on Institutions, Organizations, and Technology

Kiparsky

Sedlak

Thompson

et al. 2013

Environmental Engineering Science

134

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Interaction between institutional change and technological change poses important constraints on transitions of urban water systems to a state that can meet future needs. Research on urban water and other technologydependent systems provides insights that are valuable to technology researchers interested in assuring that their efforts will have an impact. In the context of research on institutional change, innovation is the development, application, diffusion, and utilization of new knowledge and technology. This definition is intentionally inclusive: technological innovation will play a key role in reinvention of urban water systems, but is only part of what is necessary. Innovation usually depends on context, such that major changes to infrastructure include not only the technological inventions that drive greater efficiencies and physical transformations of water treatment and delivery systems, but also the political, cultural, social, and economic factors that hinder and enable such changes. On the basis of past and present changes in urban water systems, institutional innovation will be of similar importance to technological innovation in urban water reinvention. To solve current urban water infrastructure challenges, technology-focused researchers need to recognize the intertwined nature of technologies and institutions and the social systems that control change.

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“…For instance, the IMAGES project (Deffuant et al 2002) explores opinion dynamics from a data-driven approach, using both quantitative and qualitative data; or Galán's water demand model (Galán et al 2009b), that makes an intensive use of data, specially coming from databases and survey data.…”

mentioning

confidence: 99%

Re-thinking simulation: a methodological approach for the application of data mining in agent-based modelling

Arroyo

Hassan

Gutiérrez

et al. 2010

Comput Math Organ Theory

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Agent-based models informed by empirical data are growing in popularity. Many models make extensive use of collected data for the development, initialisation or validation. In parallel, models are growing in size and complexity, generating large amounts of output data. On the other hand, Data Mining is used to extract hidden patterns from large collections of data using different techniques. This work proposes the intense use of Data Mining techniques for the improvement and development of agent-based models. It presents a methodological approach explaining why and when to use Data Mining, with a formal description of each stage of the corresponding process. This is illustrated with a case study, showing the application of the proposed approach step by step.

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An agent‐based model for domestic water management in Valladolid metropolitan area

Cited by 127 publications

References 71 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

The Innovation Deficit in Urban Water: The Need for an Integrated Perspective on Institutions, Organizations, and Technology

Re-thinking simulation: a methodological approach for the application of data mining in agent-based modelling

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