The models for explaining land-use and land-use changes range from stylized models of economic equilibrium, in which spatial features are simplified and decision-makers are highly homogeneous, to detailed comprehensive models that integrate economic modeling with spatial data and computer simulation.Įquilibrium models have been extended by adding a spatial dimension and by integrating the interaction between transportation demand and land-use, and more recently, equilibrium models add endogenous congestion effects. As a result, urban dynamics processes are still poorly understood. Such systems can reach different equilibrium states through a variety of trajectories. However, urban systems are highly complex and involve non-linear interactions of physical, economic, and governmental agents with conflicting interests. Urban planners need to understand the dynamics of land-use changes in order to assess local policies and devise the economic and regulatory incentives to guide urban growth. Individual decisions determine changes in land use, but they are also determined by land-use policies and planning. KEYWORDS: agent-based simulation, land use change, urban dynamics, decision-making processes. The article shows how to simulate urban growth patterns and land-use change dynamics using economic assumptions and by modeling the interactions of computational agents. PALABRAS CLAVE: dinámicas urbanas, procesos de toma de decisión, simulación basada en agentes.ĪBSTRACT: This article presents a general agent-based simulation approach that captures agents' decision-making processes and dynamic relationships that determine urban shape. El artículo muestra cómo, a partir de formulaciones económicas y de la interacción de agentes, se logran simular patrones globales de comportamiento y dinámicas de ocupación del suelo urbano. RESUMEN: Este artículo presenta un esquema general de micro-simulación que captura importantes relaciones dinámicas y procesos de toma de decisiones entre agentes que afectan el espacio urbano. Universidad Nacional de Colombia, for review: August 05 th, 2011, accepted: February 06 th, 2012, final version: April 10 th, 2012 M.Sc, Universidad Rovira i Virgili, Spain, OLAYA MORALES AGENT-BASED SIMULATION APPROACH TO URBAN DYNAMICS MODELINGĪPROXIMACIÓN AL MODELAMIENTO DE DINÁMICAS URBANAS A PARTIR DE SIMULACIÓN BASADA EN AGENTES Note that some variables are con- nected to more than one arrow when variables are used in other functions al- lowing for multi-use and eliminating unnecessary replications of the same varia- ble in the system such as the "Pgr-Temp-Adj" variable that is used by "RGR-ENV" and "RGR-ENV-STOC" depicted in Figure. As we can appreciate in Figure 1, the largest rectangular boxes represent the stocks that are influenced by the pipeline-shapes that store equations composed of values located either in the code tab, the interface view or in the variables presented as green rectangular boxes (smaller boxes) in the diagram while the arrows or links connect values among the previously explained components. In the system dynamic diagram, links allow a value from a variable or stock into a stock or flow making them available from one source to another in order to perform the simulation. Figure 1 and Figure 2 present the system dynamic mod- eler of the concept proposed. our approach, a system dynamic modeler was developed in order to cap- ture the dynamics over time and space expressed through mathematical equa- tions using NetLogo.
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