| Título: | Spatial Structure of Road Infrastructure In Ekiti State, Nigeria: Options for Transformation |
| Autores: | OGUNLEYE, Olusesan Sola; Department of Geography and Planning Science Ekiti State University, Ado-Ekiti, Nigeria |
| Fecha: | 2011-12-31 |
| Publicador: | Advances in Natural Science |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
| Tema: |
Spatial; Structure; Road; Infrastructure; Transportation |
| Descripción: | The extent to which a nation’s landmass is covered by road network is an index of the degree of mobility of people, goods and services within the country, and the quality of the network measures the ease and cost of that mobility. Roads dominates the transport sector in most developing countries carrying eighty to ninety percent of passenger and freight. It plays a critical role in the entire transportation chain in that it connects other modes of transportation and permeates all aspects of modern economic activities in the economy. Hence the objectives of this study which examines spatial structure of road infrastructure in Ekiti State Nigeria; options for transformation are to determine the level of connectivity of road networks in the study area and also to determine the most accessible node from other significant nodes in the study area. To get a topological characteristics of the transportation network in the study area, a graph of the road network of Ekiti State was abstracted from the map sourced from the federal Road Maintenance Agency FERMA (Ado Ekiti Office). The most commonly used graph theoretic measurement of Karsky (1963) namely; the Beta (β) index, the Gamma (γ) index and the Alpha (α) index were used to determine the connectivity of road networks in the State. Shimbel index and associated number methods were also used to determine the most accessible node from other notable nodes in the study area. The results showed that the connectivity level is low with Beta index 1.39, Gamma index 0.49 and Alpha index 0.24. Result from the accessibility analyses showed that Ado-Ekiti is the most accessible node from other notable nodes on the study area. The study recommends options for the transformation of the road transport sub-sector in the study area.Key words: Spatial; Structure; Road; Infrastructure; Transportation |
| Idioma: | Inglés |
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