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

Youssef Bouanan, Seghir Zerguini and Nathalie Gaussier
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Seghir Zerguini: GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique

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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.

Keywords: land use; agent-based modelling; location choice; accessibility; decision support system (search for similar items in EconPapers)
Date: 2018
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Published in International Journal of Service and Computing Oriented Manufacturing, inPress, 3 (4), ⟨10.1504/IJSCOM.2018.099454⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-02888023

DOI: 10.1504/IJSCOM.2018.099454

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