Urban Land Allocation Model of Territorial Expansion by Urban Planners and Housing Developers
Authored by Carolina Cantergiani, Delgado Montserrat Gomez
Date Published: 2018
DOI: 10.3390/environments5010005
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Abstract
Agent-based models have recently been proposed as potential tools to
support urban planning due to their capacity to simulate complex
behaviors. The complexity of the urban development process arises from
strong interactions between various components driven by different
agents. AMEBA (agent-based model for the evolution of urban areas) is a
prototype of an exploratory, spatial, agent-based model that considers
the main agents involved in the urban development process (urban
planners, developers, and the population). The prototype consists of
three submodels (one for each agent) that have been developed
independently and present the same structure. However, the first two are
based on a land use allocation technique, and the last one, as well as
their integration, on an agent-based model approach. This paper
describes the conceptualization and performance of the submodels that
represent urban planners and developers, who are the agents responsible
for officially launching expansion and defining the spatial allocation
of urban land. The prototype was tested in the Corredor del Henares (an
urban-industrial area in the Region of Madrid, Spain), but is
sufficiently flexible to be adapted to other study areas and generate
different future urban growth contexts. The results demonstrate that
this combination of agents can be used to explore various
policy-relevant research questions, including urban system interactions
in adverse political and socioeconomic scenarios.
Tags
Agent-based model
Simulation
Agent-based models
Design
Market
Validation
growth
Decisions
System
Cities
Crisis
Urban land allocation model
Spatial simulation of
urban growth
Urban planners
Developers
Urban modeling