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Evaluating open source routing tools in vaccine delivery in Kano State, Northern Nigeria

Research paper by Kehinde Adebola Adewara

Indexed on: 12 May '16Published on: 11 May '16Published in: Spatial Information Research



Abstract

The recent proliferation of open source geospatial routing tools such as QGIS Road Graph Plugin (QRG), Open Street Routing Machine, Google Maps Engine, GraphHopper (GH), and OsmAnd has led to the need to provide a method for comparatively evaluating the strength and weakness of these routing tools. In this paper, comparative evaluation of these tools has been carried out using drive test survey and routing estimation. The primary objective of this paper is to demonstrate comparative advantage of using open source GIS routing tools to optimize vaccine delivery process such that there would be significant reduction in logistics, manpower and cost associated with routine vaccine delivery. The capacity of the selected open source GIS routing tools was evaluated against this backdrop. Hence drive test survey was used to define the benchmark for determining the best rank among these routing tools. The drive test survey was carried out on delivery routes connecting state cold store (depot for vaccine storage) to 10 health facilities and the results were compared with values derived from routing estimation. The overall outcome indicated QRG had the highest cumulative error margin of 67.52 km while the lowest was reported for GH (46.17 km). Drive test outcome may not be sufficient to determine best or otherwise routing tool, it may be appropriate to consider other valuable criteria for the purpose of ranking these tools. Based on these criteria, QRG has the highest ranking score and OsmAnd got the lowest. These ranking scores are subject to changes with new releases.