Articulating land and water dynamics with urbanization: an attempt to model natural resources management at the urban edge

Ducrot, Raphaèle; Page, Christophe Le; Bommel, Pierre; Kuper, Marcel

doi:10.1016/s0198-9715(02)00066-2

Cited by 44 publications

(23 citation statements)

References 9 publications

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“…Since the 1990s, there has been considerable activity in various applications of cellular and agent-based modelling to spatial processes, in particular models of land-use and land-cover change (e.g., Brown & Robinson, 2006;Caruso, Rounsevell, & Cojocaru, 2005;Deadman, Robinson, Moran, & Brondizio, 2004;Ducrot, Le Page, Bommel, & Kuper, 2004;Hanley & Hopkins, 2007;Hoffman, Kelley, & Evans, 2003;Parker & Meretsky, 2004;Rand, Zellner, Riolo, & Fernandez. Fernandez, 2002;Torrens, 2006;Yin & Muller, 2007;Zellner, 2007).…”

Section: The Basic Usafe Modelmentioning

confidence: 99%

A new framework for urban sustainability assessments: Linking complexity, information and policy

Zellner

Theis

Karunanithi

et al. 2008

Computers, Environment and Urban Systems

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a b s t r a c tUrban systems emerge as distinct entities from the complex interactions among social, economic and cultural attributes, and information, energy and material stocks and flows that operate on different temporal and spatial scales. Such complexity poses a challenge to identify the causes of urban environmental problems and how to address them without causing greater deterioration. Planning has traditionally focused on regulating the location and intensity of urban activities to avoid environmental degradation, often based on assumptions that are rarely revisited and producing ambiguous effects. The key intellectual challenge for urban policy-makers is a fuller understanding of the complexity of urban systems and their environment. We address this challenge by developing an assessment framework with two main components: (1) a simple agent-based model of a hypothetical urbanizing area that integrates data on spatial economic and policy decisions, energy and fuel use, air pollution emissions and assimilation, to test how residential and policy decisions affect urban form, consumption and pollution; (2) an information index to define the degree of order and sustainability of the hypothetical urban system in the different scenarios, to determine whether specific policy and individual decisions contribute to the sustainability of the entire urban system or to its collapse.

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Section: The Basic Usafe Modelmentioning

confidence: 99%

A new framework for urban sustainability assessments: Linking complexity, information and policy

Zellner

Theis

Karunanithi

et al. 2008

Computers, Environment and Urban Systems

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“…Such dynamic feedbacks between the social and biophysical model components are still rare. Some first experiments have been made where different rates of change in land use have different biophysical impacts and feedbacks (Schoorl and Veldkamp, 2001;Ducrot et al, 2004). The need for this coupling is clear and links between (micro to macro) agent-based and (macro to micro) empirical models are needed .…”

Section: Environmental Impact Modelling With Land Use Change Modelsmentioning

confidence: 99%

Modelling land use change and environmental impact

Veldkamp

Verburg

2004

Journal of Environmental Management

267

126

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“…In the NEGOWAT project, a hybrid agent-based model addresses conflict resolution and negotiation for sustainable management at water catchments [32]. Specifically, cellular automata primitives, combined with inter-agent communication, have been used to simulate the connections within a water cycle, while agents have been used to represent farmers.…”

Section: Agent-based Social Simulations For Water Managementmentioning

confidence: 99%

A Hybrid Agent-Based Model for Estimating Residential Water Demand

et al. 2005

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The global effort toward sustainable development has initiated a transition in water management. Water utility companies use water-pricing policies as an instrument for controlling residential water demand. To support policy makers in their decisions, the authors have developed DAWN, a hybrid model for evaluating water-pricing policies. DAWN integrates an agent-based social model for the consumer with conventional econometric models and simulates the residential water demand-supply chain, enabling the evaluation of different scenarios for policy making. An agent community is assigned to behave as water consumers, while econometric and social models are incorporated into them for estimating water consumption. DAWN's main advantage is that it supports social interaction between consumers, through an influence diffusion mechanism, implemented via inter-agent communication. Parameters affecting water consumption and associated with consumers' social behavior can be simulated with DAWN. Real-world results of DAWN's application for the evaluation of five waterpricing policies in Thessaloniki, Greece, are presented.

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Articulating land and water dynamics with urbanization: an attempt to model natural resources management at the urban edge

Cited by 44 publications

References 9 publications

A new framework for urban sustainability assessments: Linking complexity, information and policy

A new framework for urban sustainability assessments: Linking complexity, information and policy

Modelling land use change and environmental impact

A Hybrid Agent-Based Model for Estimating Residential Water Demand

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