Abstract
AbstractAside 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.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
