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Agent-based modelling of urban land-use development: modelling and simulating households and economic activities location choice

Author

Listed:
  • Youssef Bouanan
  • Seghir Zerguini

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Nathalie Gaussier

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

Abstract

This article aims to respond to growing concerns about sustainable urbanisation, which in recent years have generated a need for prospective assessment in the field of transport and land-use planning, by predicting future land-use development. We introduce a land use model (part LU of a land use transport interaction model) which aims to simulate households and economic activities location choice within an urban system. We use the agent-based approach to simulate location choices to account for land use changes and to estimate residential and economic activities location. This is a dynamic bottom-up approach with the households and the firms as their basic components. The MUST-B model considers the agents' location choices according to the utility theory and the equilibrium between real estate supply and demand. The model is used to simulate urban land-use development in the urban area of Bordeaux, France.

Suggested Citation

  • Youssef Bouanan & Seghir Zerguini & Nathalie Gaussier, 2018. "Agent-based modelling of urban land-use development: modelling and simulating households and economic activities location choice," Post-Print hal-02888023, HAL.
    • Handle: RePEc:hal:journl:hal-02888023
    DOI: 10.1504/IJSCOM.2018.099454
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    Cited by:

    1. Nathalie GAUSSIER & Seghir ZERGUINI, 2019. "MUST-B: a multi-agent LUTI model for systemic simulation of urban policies," Cahiers du GREThA (2007-2019) 2019-13, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).

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