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Growing Models from the Bottom Up. an Evaluation-Based Incremental Modelling Method (EBIMM) Applied to the Simulation of Systems of Cities

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  • Clémentine Cottineau
  • Paul Chapron
  • Romain Reuillon

Abstract

This paper presents an incremental method of parsimonious modelling using intensive and quantitative evaluation. It is applied to a research question in urban geography, namely how well a simple and generic model of a system of cities can reproduce the evolution of Soviet urbanisation. We compared the ability of two models with different levels of complexity to satisfy goals at two levels. The macro-goal is to simulate the evolution of the system’s hierarchical structure. The micro-goal is to simulate its micro-dynamics in a realistic way. The evaluation of the models is based on empirical data through a calibration that includes sensitivity analysis using genetic algorithms and distributed computing. We show that a simple model of spatial interactions cannot fully reproduce the observed evolution of Soviet urbanisation from 1959 to 1989. A better fit was achieved when the model’s structure was complexified with two mechanisms. Our evaluation goals were assessed through intensive sensitivity analysis. The complexified model allowed us to simulate the evolution of the Soviet urban hierarchy.

Suggested Citation

  • Clémentine Cottineau & Paul Chapron & Romain Reuillon, 2015. "Growing Models from the Bottom Up. an Evaluation-Based Incremental Modelling Method (EBIMM) Applied to the Simulation of Systems of Cities," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(4), pages 1-9.
    • Handle: RePEc:jas:jasssj:2014-113-3
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    Citations

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    Cited by:

    1. Juste Raimbault & Eric Denis & Denise Pumain, 2020. "Empowering Urban Governance through Urban Science: Multi-Scale Dynamics of Urban Systems Worldwide," Sustainability, MDPI, vol. 12(15), pages 1-25, July.
    2. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Имитационная Пространственная Модель Развития Российских Городов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    3. Boeing, Geoff, 2018. "The Effects of Inequality, Density, and Heterogeneous Residential Preferences on Urban Displacement and Metropolitan Structure: An Agent-Based Model," SocArXiv mkq7d, Center for Open Science.
    4. Kirill V. Rostislav & Yury Yu. Ponomarev & Darya M. Radchenko, 2022. "Simulated Spatial Model of Russian Urban Development [Имитационная Пространственная Модель Развития Российских Городов]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 20-33, May.
    5. Verstegen, Judith A. & Goch, Katarzyna, 2022. "Pattern-oriented calibration and validation of urban growth models: Case studies of Dublin, Milan and Warsaw," Land Use Policy, Elsevier, vol. 112(C).

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