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International Workshop on Agent Based Modelling of Urban Systems

ABMUS 2016: Agent Based Modelling of Urban Systems pp 60–69Cite as

Agent-Based Modelling for Urban Planning Current Limitations and Future Trends

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10051))

Abstract

With the global population expected to increase form 7.3 billion in 2015 to 9.5 billion by 2050 [41], smart city planning is becoming increasingly important. This is further exasperated by the fact that an increasing number of people are relocating to cities as we live in a highly urbanised world. Cities are evolving in complex and multi-dimensional ways that can no longer be limited to land use and transport development. In increasingly important that cities planning embraces a more holistic, participatory and iterative approach that balances productivity, livability and sustainability outcomes. A new generation of bottom up, highly granular, highly dynamic and spatially explicit models have emerged to support evidence-based and adaptive urban planning. Agent-based modelling, in particular, has emerged as a dominant paradigm to create massive simulations backed by ever-increasing computing power. In this paper we point at current limitations of pure bottom-up approaches to urban modelling and argue for more flexible frameworks mixing other modelling paradigms, particularly participatory planning approaches. Then, we explore four modelling challenges and propose future trends for agent-based modelling of urban systems to better support planning decisions.

A. Banos—While joining SMART Infrastructure Facility as a Visiting Professorial Fellow for three months (july-august-september 2016), Arnaud Banos benefited from the International Mobility Support Program (edition 2016) - InSHS-CNRS.

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Author information

Authors and Affiliations

  1. SMART Infrastructure Facility, University of Wollongong, Wollongong, Australia

    Pascal Perez

  2. UMR Géographie-cités, CNRS, Paris, France

    Arnaud Banos

  3. City Futures Research Centre, University of New South Wales, Kensington, Australia

    Chris Pettit

Authors
  1. Pascal Perez
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  2. Arnaud Banos
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  3. Chris Pettit
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Corresponding author

Correspondence to Pascal Perez .

Editor information

Editors and Affiliations

  1. University of Wollongong , Wollongong, New South Wales, Australia

    Mohammad-Reza Namazi-Rad

  2. RMIT University , Melbourne, Victoria, Australia

    Lin Padgham

  3. University of Wollongong , Wollongong, New South Wales, Australia

    Pascal Perez

  4. Technische Universität Berlin , Berlin, Germany

    Kai Nagel

  5. Universidade Federal do Rio Grande do Sul , Rio Grande do Sul, Brazil

    Ana Bazzan

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Perez, P., Banos, A., Pettit, C. (2017). Agent-Based Modelling for Urban Planning Current Limitations and Future Trends. In: Namazi-Rad, MR., Padgham, L., Perez, P., Nagel, K., Bazzan, A. (eds) Agent Based Modelling of Urban Systems. ABMUS 2016. Lecture Notes in Computer Science(), vol 10051. Springer, Cham. https://doi.org/10.1007/978-3-319-51957-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-51957-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51956-2

  • Online ISBN: 978-3-319-51957-9

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