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Simulación del crecimiento urbano con AMEBA: Modelo Basado en Agentes para la ocupación residencial

Translated title of the contribution: Urban growth simulation with AMEBA: Agent-based Model to residential occupation
  • University of Alcalá

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
3 Downloads (Pure)

Abstract

The implementation of Agent-Based Models (ABM) opens new possibilities to simulate, understand and analyse the processes derived from urban expansion. The AMEBA prototype (Agent-based Model for the Evolution of urBan Areas) aims to simulate this phenomenon by developing three independent sub-models, where planners, developers and the population interact. This article describes the structure and functioning of the population-driven residential occupation sub-model, as well as its integration with the others. Results show that an integrated architecture can be developed in order to better simulate these types of complex systems, and that it is flexible enough to be applied to alternative study areas and project different urban dynamics scenarios.

Translated title of the contributionUrban growth simulation with AMEBA: Agent-based Model to residential occupation
Original languageSpanish
JournalBoletin de la Asociación de Geógrafos Españoles
Issue number86
DOIs
Publication statusPublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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