A Mean-Field Game Model for the Evolution of Cities

Published in Journal of Dynamics and Games, 2021

Citation : Cesar Barilla, Guillaume Carlier, Jean-Michel Lasry (2021). " A Mean-Field Game Model for the Evolution of Cities" Journal of Dynamics and Games (forthcoming)
URL : http://cesarbarilla.github.io/files/mfg-cities.pdf

We propose a MFG model for the evolution of residents and firms densities, coupled both by labour market equilibrium conditions at each time and competition for land use (congestion). This results in a system of two Hamilton-Jacobi-Bellman and two Fokker-Planck equations with a new form of coupling related to optimal transport. This MFG has a convex potential which enables us to find weak solutions by a variational approach. In the case of quadratic Hamiltonians, the problem can be reformulated in Lagrangian terms and solved numerically by an IPFP/Sinkhorn-like scheme as in [2]. We present numerical results based on this approach, these simulations exhibit different behaviours with either residential or business centers depending on the initial conditions and parameters.

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Some examples of simulations :