  One of the most significant decision-making processes is the site selection.
If the site correctly selected, the access for the best customers as well as
the greatest market potential would be guaranteed. Bank branch optimal location
is one of the most significant strategic issues in the competitive market
especially for private banks because of the global competition and high
customer expectations. This study presents a Geographic Information System
(GIS) based model for locating suitable sites for making new branches by using
data sources. Also, Maximal Covering Location Problem (MCLP) was used to select
branches that the maximum demand might be reached within a pre-specified target
travel time. The model was implemented for Ansar bank in Isfahan, Iran. The
criteria were restricted through demographic attributes, competition,
transportation, flexibility and cost in GIS mapping approach. Finally, the
results illustrated the efficiency and applicability of the proposed integrated
method.
