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

Yıl 2022, Cilt: 9 Sayı: 1, 127 - 139, 06.03.2022

Ekundayo Adesina Adewale Adewuyi Gbenga Morenikeji Tolulope Ogundele Florence Babatunde

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

Öz

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.

Anahtar Kelimeler

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

Destekleyen Kurum

Nil

Proje Numarası

Nil

Teşekkür

Thanks

Kaynakça

• Adepoju, A.S and Alhassan, M.E. (2010) “Challenges of Automated Teller Machine (ATM) Usage and fraud Occurrence in Nigeria. A Case Study of Selected Banks in Minna Metropolis” Journal of Internet Banking and Commerce. 15(2): 1-10.
• Adesina, E.A., Odumosu, J.O., Morenikeji, O.O., Ajayi, O.G., Onuche, E.S., Babalola, K.H (2017). Analysis of spatial distribution of worship centres using maximum location model in part of Minna, Niger state, Nigeria. Journal of Advanced Research Design 35(1): 10-25.
• Adesina, E.A., Odumosu, J.O., O.O., Morenikeji, Umoru, E., Ayokanmbi, A.O., Ogunbode, E.B (2017). Optimization of Fire Stations Services in Minna Metropolis using Maximum Covering Location Model (MCLM). Journal of Applied Sciences & Environmental Sustainability 3(7): 172 –187.
• Akinmayowa J.T and Ogbeide D.O (2014). Automated Teller Machine Service Quality and Customer Satisfaction in the Nigeria Banking Sector. Journal of Business and Social Science 65 (1):52-72.
• Alan, T. M. (2010). Advances in location modeling: GIS linkages and contributions. Journal of Geographical Systems, 12(3): 335-354.
• Anene B.T. and Buta D.B. (2019) Factors affecting customer's satisfaction towards the use of Automated Teller Machine (ATM) in commercial Banks of Ethiopia, Chiro Town. African Journal of Business Management 13(14): 438-448
• Ashraf, A. (2019). Integration of Location-Allocation and Accessibility Models in GIS to Improve Urban Planning for Health Services in Al-Madinah AlMunawwarah, Saudi Arabia. Journal of Geographic Information System, 11:633-662.
• Awaghade. et.al. (2015) Site selection and Closet facility analysis for Automated Teller Machine (ATM) centres; Case study for Aundh (Pune) India. International Journal of Advancement in Remote Sensing, GIS and Geography, 2(1): 19-29
• Daskin M.S, Coullard, C., Shen, Z.J.M. (1996). An inventory location model: Formulation, solution algorithm and computational results. An Operation Research 110: 83–106
• Ebere A. K, Udoka E. F, Gloria E. N (2015). Gap Analysis of Automatic Teller machine (ATM) Service Quality and Customer Satisfaction. Journal of Electronics and Computer Science 2 (3):1-8
• Eren, O, Aysenur, U, Mehmet, E., Cihan, C. (2017). Optimizing the location-allocation problem for pharmacy warehouses: A case study in Gaziantep. An International Journal of Optimization and Control. doi:10.11121/ijocta.01.2017.0037
• Halmi, Z., and Azlizan, A.M. (2016). Determination of New Bank Branch Location Using GIS Approach. Regional Conference on Science, Technology and Social Sciences and Technology. :201-208
• Hillier, A. (2007). Why social work needs mapping. Journal of Social Work Education,43: 205-222.
• Justo, P., Federica, R. and Andrea, S. (2018). Extensive facility location problems on networks: an updated review. 26(2): 187-226.
• Mahmoud Al-Zyood (2018) The impact of using GIS on the selection of ATM sites and their effect on profitability.International Journal of Soft Computing and Engineering (IJSCE) ISSN. 2231-2307, Vol 7(6), 5-8
• Mansour, A. A and Hesham, K. A. (2009). Location of banking automatic teller machines based on convolution. Journals of Computers and Industrial Engineering. 57, 1194-1201
• Mario, A.G (2010). Basics of geomatics. Journal of Applied Geomatics, 2010 2:137. doi.10.1007/s12518- 010-0029-6
• Mohammadı, M., Hosseınalı, F. (2019). Assessment and Comparison the Location of Six Universities in Tehran City Using GIS and Multi Criteria Decision Making Methods. International Journal of Environment and Geoinformatics, 6(1), 143-147, doi.10.30897/ijegeo.551753
• Olusina, J.O and Adesina, E.A (2015). Optimal Coverage Analysis of Existing Public Facility using the Capacitated P-Center Model. Journal of Research Information in Civil Engineering, 12(1).
• Pieter L. Van den B, Guido L., Rob V.M (2017). Increasing the Responsiveness of firefighter Services by Relocating Base stations in Amsterdam. doi: 10.1287/inte.2017.0897
• Rudabeh, M., Marion, L., Penn, S.W and Thomas, M. (2017). A facility location model for analysis of current and future demand for sexual health services. PLOS One Journal, 12(8): 1-11.
• Salami C. G., Olannye A. P (2013). Customer Perception about the Service Quality in Selected Banks in Asaba. Journal of Research in International Business and Management 3 (3):119-127.
• Sulemana, A., Forkuo, E. K., Arthur, E. T., Agyeigyamfi, K., Otchere-darko, E., Ayaim, M. K. (2020). Multi-Criteria Selection of Suitable Institutional Solid Waste Collection Sites: A Case of KNUST Campus, Kumasi, Ghana. International Journal of Environment and Geoinformatics, 7(3), 372-380, doi.10.30897/ijegeo.696335 ,
• Susan, H.O and Mark S.D (2011). Strategic facility location: A review. European Journal of Operational Research. 111(3): 423-447.
• Thomas, M. (2014). Automatic teller machines (ATMs) Management.