Data Collection

 Manual digitalization of the road network was done using OpenStreetMaps API (OSM). Road classifications were based on the operator discretion and the relative classifications of already digitized nearby roads. Roads were classified to either: Minor/unclassified road, unmaintained track road, or path.  The data was collected using OpenStreetMaps API (OSM). The OSM data was pulled on March 26th, 2017 using QGIS software. Polygon and point data were filtered to only show pharmacies, clinics, and hospitals. Polygon data were then converted to point data to allow for consistent symbology. Road network data was filtered to remove errors and N/A entries.  Road map data was then run on ArcGIS and processing tools to reconnect nodes to the road were done. All point data of hospitals, clinics, and pharmacies were categorized as health facilities. The use of Volunteer Geographic Information in the form of OSM road networks was necessary due to the lack of readily available vector data for Zimbabwe.

Methodology

Distance Map

 Using the data obtained from OSM as well as the manually digitized data two final outputs were created. The first output was a service area map. This map was created using the "Network Analyst" tool in ArcGIS. This tool allowed for the creation of service distances for each healthcare facility. The distance delineation are further explained within the report.

Multi-Criteria Evaluation (MCE)

 The second output created was that of a suitability map In addition to our distance map, we also created a MCE suitability map that shows the most suitable locations in which a new healthcare facility can be built within our study area. The following factors were used in the creation of our suitability map:

MCE Parameters