This paper reports on an analysis of the location of high schools in the town of Turin, Italy. It presents .the first exploratory results of the application of a static location model and suggests some possible ways of generalizing this model into a dynamic one.
A detailed sensitivity analysis is presented, and it is shown how the results obtained lead naturally to dynamic issues. A simple Markov-chain model is used to evaluate the effects of changes in the first year admission policy, and the resulting shifts in the spatial distribution of required school capacity are shown.
Finally, a simplified version of a dynamic optimal capacity-adjustment model is proposed, and its possible extensions are outlined
