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

Nina Schwarz (), Daniel Kahlenberg (), Dagmar Haase () and Ralf Seppelt ()
Additional contact information
Nina Schwarz: https://www.itc.nl/resumes/schwarzn
Daniel Kahlenberg: http://www.ufz.de/index.php?en=1461
Dagmar Haase: http://www.geographie.hu-berlin.de/physische_geographie/landschaftsoekologie/mitarbeiter/dagmarhaase
Ralf Seppelt: http://www.ufz.de/index.php?en=13905

Journal of Artificial Societies and Social Simulation, 2012, vol. 15, issue 2, 8

Abstract: 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.

Keywords: Agent-Based Modelling; Urban; Land Use; Repast (search for similar items in EconPapers)
Date: 2012-03-31
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Citations: View citations in EconPapers (4)

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