The Project
The World Bank’s Financial and Innovation Practice was tasked with conducting a geospatial mapping of financial access points, with the goal of identifying underserved areas where ATMs and banking services should be expanded.
I provided technical support on the following tasks:
- Using the Geonames and the Google Maps API, I geocoded each access point to create a point dataset suitable for overlaying population and demand-side statistics.
- The team was also interested in exploring financial exclusion from a distance perspective. How far do people need to drive to get to the nearest ATM?
- The implementation of the analysis uses a great python package developed by our team to conduct network analysis at scale. The package helps transform Open Street Map data into a graph network object, leveraging the open-source libraries peartree and osmnx.