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A Methodology for Simulating Synthetic Populations for the Analysis of Socio-technical Infrastructures

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Advances in Social Simulation 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 528))

Abstract

Modelling socio-technical systems in which a population of heterogeneous agents generates demand for infrastructure services requires a synthetic population of agents consistent with aggregate characteristics and distributions. A synthetic population can be created by generating individual agents with properties and rules based on a scenario definition. Simulation results fine-tune this process by comparing system level behaviour with external data, after which the emergent behaviour can be used for analysis and optimisation of planning and operation. An example of electricity demand profiles is used to illustrate the approach.

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Notes

  1. 1.

    Extracted from Office for National Statistics data (http://neighbourhood.statistics.gov.uk/).

  2. 2.

    From OrdnanceSurvey MasterMap data (https://www.ordnancesurvey.co.uk/).

References

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  4. Bustos-Turu, G., van Dam, K.H., Acha, S., Shah, N.: Estimating plug-in electric vehicle demand flexibility through an agent-based simulation model. 5th IEEE PES Innovative Smart Grid Technologies (ISGT), Istanbul, Turkey (2014) Accessed 12–15 Oct 2014

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Author information

Authors and Affiliations

  1. Centre for Process Systems Engineering, Imperial College London, London, UK

    Koen H. van Dam, Gonzalo Bustos-Turu & Nilay Shah

Authors
  1. Koen H. van Dam
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  2. Gonzalo Bustos-Turu
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  3. Nilay Shah
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Corresponding author

Correspondence to Koen H. van Dam .

Editor information

Editors and Affiliations

  1. University College Groningen, University of Groningen, Groningen, The Netherlands

    Wander Jager

  2. Faculty of Mathematics and Natural Sciences, Institute of Artificial Intelligence, University of Groningen, Groningen, The Netherlands

    Rineke Verbrugge

  3. Faculty for Social and Behavioural Sciences, Department of Sociology, University of Groningen, Groningen, The Netherlands

    Andreas Flache

  4. Faculty of Spatial Sciences, Department of Spatial Planning and Environment, University of Groningen, Groningen, The Netherlands

    Gert de Roo

  5. Faculty of Economics and Business, University of Groningen, Groningen, The Netherlands

    Lex Hoogduin

  6. Faculty of Mathematics and Natural Sciences, Department of Behavioural Ecology and Self-organisation, University of Groningen, Groningen, The Netherlands

    Charlotte Hemelrijk

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van Dam, K.H., Bustos-Turu, G., Shah, N. (2017). A Methodology for Simulating Synthetic Populations for the Analysis of Socio-technical Infrastructures. In: Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L., Hemelrijk, C. (eds) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing, vol 528. Springer, Cham. https://doi.org/10.1007/978-3-319-47253-9_39

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  • DOI: https://doi.org/10.1007/978-3-319-47253-9_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47252-2

  • Online ISBN: 978-3-319-47253-9

  • eBook Packages: EngineeringEngineering (R0)

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