Public Facilities Location Under Stochastic Demand

Abstract

This paper extends the current state of public facilities location problems on a road network to cover situations in which the number of users at each node may be a random variable. The basic location model is reformulated as a chance-constrained programming problem with fractile criterion. A computational procedure for solving the non-linear deterministic equivaent problem derived is presented. Finally, a hypothetical numerical example i1lustrates the pos-sibility of changes in the location decision when the stochastic nature of the problem is taken into account.