Agent-based models and self-organisation: addressing common criticisms and the role of agent-based modelling in urban planning.

While planners have long been aware that the world they act upon is complex, there is now growing interest in using concepts from the complexity sciences - such as self-organisation - to explain cities and urban change. Agent-based models (ABMs) can be invaluable tools in this quest, but they are of...

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Publicado en:TPR: Town Planning Review Vol. 87; no. 3; pp. 321 - 339
Autores principales: Levy, Sara, Martens, Karel, der Heijden, Rob van
Formato: Artículo
Publicado: Liverpool University Press / Journals 2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Agent-based models and self-organisation: addressing common criticisms and the role of agent-based modelling in urban planning.
      aug:
        au:
          Levy, Sara
          Martens, Karel
          der Heijden, Rob van
        affil:
          Graduate student at the Institute for Management Research, Radboud University Nijmegen, 3 Thomas van Aquinostraat, 6525 GD Nijmegen, Netherlands
          Associate Professor at the Institute for Management Research, Radboud University Nijmegen, 3 Thomas van Aquinostraat, 6525 GD Nijmegen, Netherlands
          Professor in Planning Methods at the Institute for Management Research, Radboud University Nijmegen, 3 Thomas van Aquinostraat, 6525 GD Nijmegen, Netherlands
      su:
        Urban planning
        Urban growth
        Criticism
        Multiagent systems
        Strategic planning
      sug:
        subj:
          Urban planning
          Urban growth
          Criticism
          Land Subdivision
          Administration of Urban Planning and Community and Rural Development
          Multiagent systems
          Strategic planning
      keyword:
        ABMs
        agent-based modelling
        criticism
        individualism
        self-organisation
        urban modelling
        urban planning
        ABMs
        agent-based modelling
        criticism
        individualism
        self-organisation
        urban modelling
        urban planning
      ab: While planners have long been aware that the world they act upon is complex, there is now growing interest in using concepts from the complexity sciences - such as self-organisation - to explain cities and urban change. Agent-based models (ABMs) can be invaluable tools in this quest, but they are often met with mistrust, and face some valid objections. This paper attempts to address some of the criticism, namely that ABMs offer simplistic, individualist and trivial explanations for urban processes, that they cannot be validated and that they represent the view that top-down planning is unnecessary. The paper argues that if ABMs are to be used in a new science of cities they need to be designed as part of a conversation between practitioners, policy-makers and academics.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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