A decision problem for bank branch site selection: a GIS mapping perspective with maximal covering location problem: a case study of Isfahan, Iran

Zahra Namazian and Emad Roghanian

International Journal of Services and Operations Management, 2021, vol. 39, issue 3, 337-361

Abstract: One of the most significant decision-making processes is the site selection. If the site is 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.

Keywords: location-allocation; geographic information system; GIS; maximal covering location problem; MCLP; bank branch location; criteria and sub-criteria; Iran. (search for similar items in EconPapers)
Date: 2021
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