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Agent-Based Simulation Modelling of Housing Choice and Urban Regeneration Policy

  • Conference paper
Multi-Agent-Based Simulation XI (MABS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6532))

Abstract

Phenomena in the housing market can be recreated and analysed using the technique of agent-based modelling. Housing policies introduced as part of urban regeneration often seek to address problems of deprivation in segregated communities by introducing the concept of mixed communities, that is, communities mixed by housing tenure and housing type. In this paper, a framework for the creation of a model of housing choice and regeneration policy is presented.

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Author information

Authors and Affiliations

  1. Centre for Spatial Analysis and Policy School of Geography, University of Leeds, Leeds, LS2 9JT, UK

    René Jordan, Mark Birkin & Andrew Evans

Authors
  1. René Jordan
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  2. Mark Birkin
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  3. Andrew Evans
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Editor information

Editors and Affiliations

  1. Faculty of Sciences, Department of Artificial Intelligence, Vrije Universiteit Amsterdam, De Boelelaan 1081a,, 1081 HV, Amsterdam, The Netherlands

    Tibor Bosse

  2. Krasnow Institute for Advanced Study, Center for Social Complexity, George Mason University, 4400 University Drive, MS 6B2, 22030, Fairfax, VA, USA

    Armando Geller

  3. Department of Mediametics, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628, Delft, CD, The Netherlands

    Catholijn M. Jonker

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© 2011 Springer-Verlag Berlin Heidelberg

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Jordan, R., Birkin, M., Evans, A. (2011). Agent-Based Simulation Modelling of Housing Choice and Urban Regeneration Policy. In: Bosse, T., Geller, A., Jonker, C.M. (eds) Multi-Agent-Based Simulation XI. MABS 2010. Lecture Notes in Computer Science(), vol 6532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18345-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-18345-4_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18344-7

  • Online ISBN: 978-3-642-18345-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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