The case of Paratransit - ‘Trotro’ service data as a credible location addressing of road networks in Ghana

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.

[1]  A. Njoh,et al.  The Toponymic Inscription Problematic in Urban Sub-Saharan Africa: From Colonial to Postcolonial Times , 2015 .

[2]  Catherine D. Farvacque-Vitkovic,et al.  Street Addressing and the Management of Cities , 2005 .

[3]  Maud Setor Gbeckor-Kove Improving public passenger transportation in Kumasi by use of High Occupancy Vehicles (HOVs)- case study of Metro Mass Transport (MMT) bus operations on three routes , 2010 .

[4]  Grant McKenzie,et al.  A user-generated data based approach to enhancing location prediction of financial services in sub-Saharan Africa , 2019, Applied geography.

[5]  Ben Derudder,et al.  Transport network backbone extraction: A comparison of techniques , 2018 .

[6]  Ernest Agyemang The bus rapid transit system in the Greater Accra Metropolitan Area, Ghana: Looking back to look forward , 2015 .

[7]  Caroline O. Buckee,et al.  Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data , 2015, Epidemiology.

[8]  Frederico T. Fonseca,et al.  Assessing the Certainty of Locations Produced by an Address Geocoding System , 2007, GeoInformatica.

[9]  Ayyoob Sharifi,et al.  Resilient urban forms: A review of literature on streets and street networks , 2019, Building and Environment.

[10]  V. Latora,et al.  The backbone of a city , 2005, physics/0511063.

[11]  S. Coetzee,et al.  TOWARDS GOOD PRINCIPLES FOR THE DESIGN OF A NATIONAL ADDRESSING SCHEME , 2011 .

[12]  Xi-sheng Hu,et al.  Identification of spatial variation in road network and its driving patterns: Economy and population , 2018, Regional Science and Urban Economics.

[13]  Victor A Alegana,et al.  A spatial database of health facilities managed by the public health sector in sub Saharan Africa , 2019, Scientific Data.

[14]  Geoff Boeing,et al.  OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks , 2016, Comput. Environ. Urban Syst..

[15]  M. Haklay How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets , 2010 .

[16]  H. Sutanta,et al.  Issues and challenges in developing geocoded address in Indonesia , 2016 .

[17]  R. Snow,et al.  Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis , 2018, The Lancet. Global health.

[18]  E. Agyemang,et al.  Mode choice for long distance trips: Evidence from the Greater Accra Metropolitan Area of Ghana , 2017 .

[19]  Serena Coetzee,et al.  What is an address in South Africa , 2007 .

[20]  S. Brooker,et al.  Towards an atlas of human helminth infection in sub-Saharan Africa: the use of geographical information systems (GIS). , 2000, Parasitology today.

[21]  Michela Bertolotto,et al.  Analysing the growth of OpenStreetMap networks , 2013 .

[22]  Gift Dumedah,et al.  Challenges and opportunities for geospatial integration into ‘trotro’ road travel in Ghana , 2017 .

[23]  Frederico T. Fonseca,et al.  A Flexible Addressing System for Approximate Geocoding , 2003, GEOINFO.

[24]  Enoch F. Sam,et al.  SERVQUAL analysis of public bus transport services in Kumasi metropolis, Ghana: Core user perspectives , 2017 .

[25]  Robert Lewis,et al.  Numbers didn't count: the streets of colonial Bombay and Calcutta* , 2012, Urban History.

[26]  D. McCormick,et al.  Paratransit in African cities operations, regulation and reform , 2015 .

[27]  Kevin M. Curtin Network Analysis in Geographic Information Science: Review, Assessment, and Projections , 2007 .

[28]  A. Abane Travel behaviour in Ghana: empirical observations from four metropolitan areas , 2011 .