IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03090759.html
   My bibliography  Save this paper

Modeling and simulating households and firms location choice using agent-based models: Application to the urban area of Bordeaux

Author

Listed:
  • Youssef Bouanan

    (IMS - Laboratoire de l'intégration, du matériau au système - UB - Université Sciences et Technologies - Bordeaux 1 - Institut Polytechnique 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)

  • Seghir Zerguini

    (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 urbanization, 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 firms location choice within an urban system. We use the agent-based approach to simulate location choices in order 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 & Nathalie Gaussier & Seghir Zerguini, 2017. "Modeling and simulating households and firms location choice using agent-based models: Application to the urban area of Bordeaux," Post-Print hal-03090759, HAL.
  • Handle: RePEc:hal:journl:hal-03090759
    DOI: 10.1109/WSC.2017.8247860
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03090759. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.