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Theoretical Principles in Interurban Simulation Models: A Comparison

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  • Denise Pumain
  • Lena Sanders

Abstract

Agent-based models are increasingly used by urban specialists, supplanting the simulation models using differential equations which were more popular earlier. These models already made reference to the theories of self-organisation and to mechanisms of evolution not so far from those used today to describe the emergence of macroscopic properties or structures in a bottom-up process from interactions operating at the microlevel. Moreover there is less difference than often suggested in the literature between the two forms of modelling – differential equations and multi-agent models—in the way they integrate principles of urban theory. To test this assumption, we compare models made of systems of differential equations (Allen's model firmly rooted in self-organisation theory and the model developed by Weidlich and Haag, affiliated to synergetic theory) with multi-agent models (SIMPOP family) designed to meet the same task: Simulating the differentiated dynamics of urban entities over the medium to long term from their functional economic specialisation. We show that multi-agent systems are providing interesting solutions for the modelling method, because of their greater ability to simulate the emergence of geographical macrostructures from different levels of interaction.

Suggested Citation

  • Denise Pumain & Lena Sanders, 2013. "Theoretical Principles in Interurban Simulation Models: A Comparison," Environment and Planning A, , vol. 45(9), pages 2243-2260, September.
  • Handle: RePEc:sae:envira:v:45:y:2013:i:9:p:2243-2260
    DOI: 10.1068/a45620
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    References listed on IDEAS

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    1. Michael Batty, 2008. "Fifty Years of Urban Modeling: Macro-Statics to Micro-Dynamics," Springer Books, in: Sergio Albeverio & Denise Andrey & Paolo Giordano & Alberto Vancheri (ed.), The Dynamics of Complex Urban Systems, pages 1-20, Springer.
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    3. Denise Pumain, 2008. "The Socio-Spatial Dynamics of Systems of Cities and Innovation Processes: a Multi-Level Model," Springer Books, in: Sergio Albeverio & Denise Andrey & Paolo Giordano & Alberto Vancheri (ed.), The Dynamics of Complex Urban Systems, pages 373-389, Springer.
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    Cited by:

    1. Gordon F. Mulligan, 2021. "Five new contributions to urban studies," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(6), pages 1954-1973, December.
    2. Na Jiang & Andrew Crooks & Wenjing Wang & Yichun Xie, 2021. "Simulating Urban Shrinkage in Detroit via Agent-Based Modeling," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    3. Juste Raimbault, 2020. "Indirect evidence of network effects in a system of cities," Environment and Planning B, , vol. 47(1), pages 138-155, January.
    4. An, Li & Grimm, Volker & Sullivan, Abigail & Turner II, B.L. & Malleson, Nicolas & Heppenstall, Alison & Vincenot, Christian & Robinson, Derek & Ye, Xinyue & Liu, Jianguo & Lindkvist, Emilie & Tang, W, 2021. "Challenges, tasks, and opportunities in modeling agent-based complex systems," Ecological Modelling, Elsevier, vol. 457(C).

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