Characterising the structural pattern of urban road networks in Ghana using geometric and topological measures. Issue 1 (18th February 2021)

• Record Type: Journal Article
• Authors: Dumedah, Gift; Garsonu, Emmanuel Kofi
• Is Part Of: Geo. Volume 8:Issue 1(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-02-18
• Subjects: computational network science -- geometric and topological indicators -- road networks -- spatial networks -- transportation -- urban streets; Geography -- Periodicals; Environmental sciences -- Periodicals; 550
• DOI: 10.1002/geo2.95
• Languages: English
• ISSNs: 2054-4049

Abstract

Abstract : Road networks are an integral part of any human settlement, facilitating the movement of people, goods, and information. The structural arrangement of a road network can have a profound impact on its performance, mobility and access to critical infrastructure. This study takes advantage of a computational network science approach to examine the structural configuration of road networks using geometric and topological descriptions in districts covering 10 regional capitals in Ghana. The majority of urban road networks were found to follow a radial pattern at the global scale, with either a gridded or a branching configuration at the local scale. Only road networks in Accra and Kumsi are fine grained and of comparable density to other global cities, based on intersection and street densities. Structural indicators such as circuity, clustering, page rank, degree centrality, and betweenness centrality for urban roads in Ghana were found to be comparable to other global cities. Given the lack of adequate infrastructure for traffic monitoring in Ghana, the spatial distribution of betweenness centrality could be part of the critical resource to provide insight for traffic management. These findings provide the basis to inform transportation planning and management on critical issues, particularly, based on the spatial distribution of betweenness centrality it is possible to identify problematic locations within the road network which are most vulnerable to traffic congestion. Abstract : This study characterized road networks using geometric and topological indicators for urban roads in Ghana which are characterized by informal and poor layout. Given the lack of adequate infrastructure for traffic monitoring in Ghana, the spatial distribution of betweeness centrality could be part of the critical resource to provide insight for traffic management. These findings provide the basis to inform transportation planning and management on critical issues, particularly, based on the spatial distribution of betweeness centrality it is possible to identify problematic locations within the road network which are most vulnerable to traffic congestion.