Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review

By Dawn Cassandra Parker, Steven M. Manson, Marco A. Janssen, Matthew J. Hoffmann, Peter J. Deadman. 2003

1,914 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/cec233e71f70cb5ec88e4ee9542654f39dfaa210

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

In Management Science and Operations Research

Citations in the corpus

An agent-based approach to model future residential pressure on a regional landscape (2009, methodology): “…locally interacting agents whose decisions lead to emergent properties at an aggregate level, e.g. city growth, assuming no equilibrium conditions (Jager et al. 2000; Gilbert and Bankes 2002; Parker et al. 2003; Bousquet and Le Page 2004; Brown et al. 2004; Matthews 2006; Phan and Amblard 2007).”
Modeling human decisions in coupled human and natural systems: Review of agent-based models (2012, background): “In 144 tandem with the above theoretical advancements, empirical support, especially data about human 145 systems, is considered essential in advancing our understanding of complex systems (Parker et al., 2003; 146 Veldkamp and Verburg, 2004).”
Transitions in European land-management regimes between 1800 and 2010 (2015, background): “Conversely, ssessments exploring land-use decisions, such as agent-based odels (Gaube et al., 2009; Jepsen et al., 2006; Parker et al., 2003), re usually data-hungry and constrained to small regions and preefined actors.”
Insight, part of a Special Feature on Ecosystem Service Trade-offs across Global Contexts and Scales A sustainability framework for assessing trade-offs in ecosystem services (2015, background): “Further, ecosystem service supply and delivery can be predicted under future scenarios for ecosystem service provision by using qualitative or quantitative approaches (Parker et al. 2003, Nelson et al. 2009, Lawler et al. 2014) and incorporating stakeholder views (Goldstein et al. 2012).”
Agent-based land-use models: a review of applications (2007, methodology): “…and a simplified version was developed from this for use in 16 the RPG. SelfCORMAS (d'Aquino et al., 2003), on the other hand, focused on building the 17 model together with stakeholders right from the beginning, representing the first level of 18 participation defined by Parker et al. (2002).”
Linking Land Change with Driving Forces and Actors: Four Conceptual Models (2010, methodology): “The other models tend to rely more on social science methods, including participatory methods (Castella et al. 2005, Özkaynak 2008), interviews (Overmars et al. 2007a), or economic theory (Balmann 1997, Parker et al. 2003, Ligtenberg et al. 2004).”
How Do You Measure Distance in Spatial Models? An Example Using Open-Space Valuation (2010, background): “Complexity-based approaches such as agent-based modeling and cellular automata have given rise to a range of nonstandard distance measures, such as a range of topologies, multiscalar distances, or sociospatial notions of space (Manson, 2001; Parker et al, 2003; Yeh and Li, 2001).”
A standard protocol for describing individual-based and agent-based models (2006, background): “…systems made up of autonomous entities, including the social sciences (Epstein and Axtell, 1996; Gilbert and Troitzsch, 2005), economics (Tesfatsion, 2002), demography (Billari and Prskawetz, 2003), geography (Parker et al., 2003), and political sciences (Axelrod, 1997; Huckfeldt et al., 2004).”
Simulating Emergent Urban Form Using Agent-Based Modeling: Desakota in the Suzhou-Wuxian Region in China (2007, background): “One way to proceed is to build models of such phenomena whose fundamental entities or objects, sometimes called ‘‘agents,’’ interact with one another from the bottom up (Parker et al. 2003).”
Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China (2015, methodology): “The method has therefore become an important direction for current research and could involve using a different model in combination with the CLUE-S model, such as the grey interconnect degree, the system dynamics model or multi-agent system models [26], which offer a reasonable alternative to predi”
NEW DIRECTIONS FOR URBAN ECONOMIC MODELS OF LAND USE CHANGE: INCORPORATING SPATIAL DYNAMICS AND HETEROGENEITY (2010, background): “Parker et al. (2003) review the applicability of agent-based models to modeling land use and land cover change.”
Spatial modeling of agricultural land use change at global scale (2013, methodology): “…use change models is evident from the wide range of existing modeling approaches and applications (see reviews by NRC, 2014; Heistermann et al., 2006; Verburg et al., 2004; Parker et al., 2003; Agarwal et al., 2002; Irwin and Geoghegan, 2001; Briassoulis, 2000; U.S. EPA, 2000).”