Stable equilibrium in the aggregated entropy model of urban subsystem location

For an aggregated entropic model of population and service deployment in an urban system sufficient conditions are obtained under which the equilibrium state is unique and the algorithm whereby it is determined is globally stable. The method of mapping leads to the Lipschitz constant of the entropy maximization operator. Some experimental results for the Moscow urban system are reported.