A CASE STUDY FOR SITE SELECTION FOR MICROFINANCE FACILITIES USING GIS IN NAIROBI COUNTY, KENYA
DOI:
https://doi.org/10.46827/ejes.v12i4.6031Nøgleord:
microfinance institutions, small micro enterprises, geographic information system (GIS)Resumé
There are many Microfinance Institutions (MFIs) operating in Kenya to serve the Small Micro enterprises (SMEs) such as small retail shops, street vending, artisan manufacture, service provision, drug stores and so on. With arising need and availability of resources, it is not difficult to open a new MFI branch or agent, but to find a suitable location for the MFIs might be essential and challenging. Investigating a suitable site for Microfinance takes a lot of time and money. The technology of Geographic Information System (GIS) can help people to view, understand, interpret, and visualize spatial data in many ways that reveal relationships, patterns, and trends. This paper applies the features of GIS to analyze spatial data to efficiently choose a suitable site for microfinance facilities. This research project shows how to use GIS and Multi Criteria Evaluation MCE to help microfinance institutions in site selection for new facilities in Kibera slum, Nairobi County, Kenya. GIS techniques have been used for data collection, analysis and presentation.
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Referencer
Amelie, D., & Sophie T. (2009). Kibera: The Biggest Slum in Africa? https://doi.org/10.4000/eastafrica.521.
Ertugrul, I. & Karakas¸o˘glu, N. (2008) Comparison of Fuzzy AHP and Fuzzy TOPSIS Methods for Facility Location Selection, Int. J. Adv. Manuf. Tech., 39, 783–795, 2008. Retrieved from https://link.springer.com/article/10.1007/s00170-007-1249-8
Yunus, M. (2014). Debtor’s Empowerment and the Rhetoric of Microfinance. Masters Thesis, University of Denver. Retrieved from https://digitalcommons.du.edu/cgi/viewcontent.cgi?article=1089&context=etd
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