Aside from efficiency, equity is a particularly salient
objective in siting public facilities. In this paper, we develop
and test a bicriteria mixed integer program that trades off the
efficiency and equity measures between an individual and the
group. Individual efficiency is measured by data envelopment
analysis (DEA) while individual equity is modeled by a center
location model. On the other hand, group efficiency is measured by
the median location model, while group equity is measured by the
Gini coefficient. Available computational results suggest that the
multicriteria model provides a promising approach to locate public
services in a pluralistic society, when the individual rights are
often weighed
against common good.