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Transportation in Agent-Based Urban Modelling

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Book cover Agent Based Modelling of Urban Systems (ABMUS 2016)

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

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Abstract

As the urban population rapidly increases to the point where most of us will be living in cities by the end of this century, the need to better understand urban areas grows ever more urgent. Urban simulation modelling as a field has developed in response to this need, utilising developing technologies to explore the complex interdependencies, feedbacks, and heterogeneities which characterise and drive processes that link the functions of urban areas to their form. As these models grow more nuanced and powerful, it is important to consider the role of transportation within them. Transportation joins, divides, and structures urban areas, providing a functional definition of the geometry and the economic costs that determine urban processes accordingly. However, it has proved challenging to factor transportation into agent-based models (ABM); past approaches to such modelling have struggled to incorporate information about accessibility, demographics, or time costs in a significant way. ABM have not yet embraced alternative traditions such as that in land use transportation modelling that build on spatial interaction in terms of transport directly, nor have these alternate approaches been disaggregated to the level at which populations are represented as relatively autonomous agents. Where disaggregation of aggregate transport has taken place, it has led to econometric models of individual choice or microsimulaton models of household activity patterns which only superficially embody the key principles of ABM. But the explosion in the availability of movement data in recent years, combined with improvements in modelling technology, is easing this process dramatically. In particular, agent-based modelling as a methodology has grown ever more promising and is now capable of emulating the interplay of urban systems and transportation. Here, we explore the importance of this approach, review how transportation has been factored into or omitted from agent-based models of urban areas, and suggest how it might be handled in future applications. Our approach is to take snapshots of different applications and use these to illustrate how transportation is handled in such models.

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Authors and Affiliations

  1. Centre for Advanced Spatial Analysis, University College London, 90 Tottenham Court Road, London, W1T 4TJ, UK

    Sarah Wise & Michael Batty

  2. Department of Computational and Data Sciences, College of Science, George Mason University, Research Hall, 4400 University Drive, MS 6B2, Fairfax, Virginia, 22030, USA

    Andrew Crooks

Authors
  1. Sarah Wise
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  2. Andrew Crooks
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  3. Michael Batty
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Corresponding author

Correspondence to Sarah Wise .

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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Wise, S., Crooks, A., Batty, M. (2017). Transportation in Agent-Based Urban Modelling. 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_8

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  • DOI: https://doi.org/10.1007/978-3-319-51957-9_8

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