ABMland - a Tool for Agent-Based Model Development on Urban Land Use Change

Modelling urban land use change can foster understanding of underlying processes and is increasingly realized using agent-based models (ABM) as they allow for explicitly coding land management decisions. However, urban land use change is the result of interactions of a variety of individuals as well...

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Bibliographic Details
Published inJournal of Artificial Societies and Social Simulation Vol. 15; no. 2
Main Authors Kahlenberg, Daniel, Haase, Dagmar, Seppelt, Ralf, Schwarz, Nina
Format Journal Article
LanguageEnglish
Published Journal of Artificial Societies and Social Simulation 31.03.2012
SeriesJournal of Artificial Societies and Social Simulation
Subjects
Agent-Based Modelling
Land Use
Repast
Urban
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Summary:Modelling urban land use change can foster understanding of underlying processes and is increasingly realized using agent-based models (ABM) as they allow for explicitly coding land management decisions. However, urban land use change is the result of interactions of a variety of individuals as well as organisations. Thus, simulation models on urban land use need to include a diversity of agent types which in turn leads to complex interactions and coding processes. This paper presents the new ABMland tool which can help in this process: It is software for developing agent-based models for urban land use change within a spatially explicit and joint environment. ABMland allows for implementing agent-based models and parallel model development while simplifying the coding process. Six major agent types are already included as coupled models: residents, planners, infrastructure providers, businesses, developers and lobbyists. Their interactions are pre-defined and ensure valid communication during the simulation. The software is implemented in Java building upon Repast Simphony and other libraries.