LAUSR

Abstract Road networks are by far the largest mobility infrastructure in Sub-Sahara Africa, and are key to providing access to economic and social opportunities. Yet the majority of road networks in Ghana and other countries in Sub-Sahara Africa are not geographically referenced, to facilitate their uses for road maintenance and management, transport planning, emergency services, disaster cases, logistics, tourism and other location based services. Consequently, this study takes advantage of paratransit service and the location of landmarks to provide location addressing of road networks in Ghana. The paratransit service, popularly known as Trotro in Ghana is a local transit system that uses an automobile to move people and goods along a prescribed travel route on a road network, with locally known stops where people get on and off the vehicle. The Trotro service is popular in Ghana, yet there is no critical investigation demonstrating its spatial coverage, relevance as a credible location addressing for road networks, or as a comprehensive location data for location based services. This study provides evidence for this case, and investigates the spatial coverage of road networks used by the Trotro vehicles, and the mapping of their service stops together with landmarks in the Asokore Mampong Municipality (AMM) of Ashanti region in Ghana. It was found that the location data from both Trotro service and landmarks covered about 86% of the entire road network in AMM; providing a large coverage of the road network and greater geographic detail. A service area estimation undertaken using the generated location data shows a high geographic accessibility, with travel distances as low as 160 m from any location to the nearest Trotro service or landmark covering about 80% of the road networks. These results show the capability of the generated location data to tackle the problem of spatially unreferenced road networks, and to significantly improve their effective uses. The popularity of paratransit in Sub-Sahara Africa means that this study can be adapted to other countries where the majority of the road networks are not spatially referenced.