SITE SELECTION AND CLOSEST FACILITY ANALYSIS FOR AUTOMATED TELLER MACHINE (ATM) CENTERS: CASE STUDY FOR AUNDH (PUNE), INDIA

Swapnil Awaghade, Priyanka Dandekar, Pinak Ranade

Abstract


The ever increasing competition in financial and Banking sector to gain more and more business can be seen all over the world.  The success in this industry largely depends on the ability of a bank to create more customer base and provide market driven services. To overcome this, these sectors adopts various techniques one of which is use of Geographic Information System (GIS) and remote sensing. In this study, an attempt has been made to use GIS and Remote Sensing (RS) to locate the potential sites for establishing Automated Teller Machines (ATM) centers in Aundh area of Pune city. GIS plays an important role by providing a platform for effective planning, organizing and decision-making. The database created for the study area includes customer density, existing locations of ATM centers, road network and facilities available in the area. With the help of weighted overlay technique, four potential sites for establishing new ATMs were identified. The ability of GIS to geo-code facility in terms of address of ATMs is also utilized. This study has proved the ability of GIS technology to locate the nearest ATM from any location in the study area with the help of network analyst tool. Customization has been done with the help of Arc Objects VBA to make a user-friendly toolbar.

Keywords


GIS, Remote Sensing, ATM, Banking, Network Analyst, ArcGIS

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