Optimal Coverage Analysis of Existing Automated Teller Machines within Minna Metropolis, Nigeria using the Best-Fit Model

Year 2022, Volume: 9 Issue: 1, 127 - 139, 06.03.2022

Ekundayo Adesina , Adewale Adewuyi , Gbenga Morenikeji , Tolulope Ogundele , Florence Babatunde

https://doi.org/10.30897/ijegeo.817421

Abstract

Owing to the fact that nearly all economic sector of a country has embraced technology in their mode of operation. The banking industry as a financial institution in its recent implementation of electronic banking and the use of Automated Teller Machine has not been left out. The location of this ATM's with respect to their users is a geospatial problem, the industry aim is to ensure that such facilities are optimally located. The location-allocation tools in Geographic Information System thus become useful. This study investigates and assess the existing ATMs in the study area using location and service ability as a factor. Questionnaires were administered to assess the service ability of existing ATMs. For location evaluation the geographic coordinates of ATMs and Police stations were acquired using Garmin 78 Handheld Global Positioning System, the remotely sensed image of the study area was gotten from the Surveyor General of the Federation Office, it was digitized and used along with the acquired coordinates to create a database using ArcGIS 10.3. The resulting map was used to create a network analysis. Various Location-Allocation model were then used to assess and fix new optimal locations for ATMs. The results show that with a travel distance of 1.5km used in the models, the maximum coverage mode is the most suitable location-allocation models, for a banking system that seeks for equity among various banks, ATM centers can be sited using this model. The marginalization that occurs from other models makes them unfit for the banking industry. One of the final results from this study is that the optimal area for locating new ATMs amongst potential sites in terms of compatibility with the chosen criteria. This study suggests that; decision making future siting of ATMs to serve customers within this distance zone could use this model.

Keywords

Geographical Information System, Location-Allocation Model, ATMs Site Selection

Supporting Institution

Nil

Project Number

Nil

Thanks

Thanks

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