Modeling and simulating households and firms location choice using agent-based models: Application to the urban area of Bordeaux
Langue
EN
Communication dans un congrès avec actes
Ce document a été publié dans
2017 Winter Simulation Conference (WSC), 2017, Las Vegas. p. 1121-1132
Résumé en anglais
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 ...Lire la suite >
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.< Réduire
Mots clés en anglais
Economics
Land use
Agent-based model
Agent-based approach
Autonomous agents
Bottom up approach
Computational methods
Economic activities
Interaction model
Location
Modeling and simulating
Supply and demand
Transport and land use
Urban planning
Urban transportation
Unités de recherche