Geospatial Analysis and Asset Management of Road Infrastructure in Nasarawa State

Road infrastructure asset management in Nasarawa State, North Central Nigeria, suffers from incomplete asset inventories, absence of condition monitoring systems, and inadequate evidence-based maintenance prioritisation. This study develops a geospatially integrated road asset management system for Nasarawa State using GPS survey data and GIS-based asset analysis tools. A professional GIS application methodology was adopted, involving GPS survey of the primary state road network (210 km across Lafia, Keffi, and Nasarawa LGAs), pavement condition assessment using the visual PCI method at 500-metre intervals, and integration of survey data into a GIS asset management database. Visual road condition data were attributed to road segment geometries in the GIS. Network analysis tools were used to generate maintenance priority maps and cost optimisation scenarios. Results indicate that 44 percent of the surveyed network has a PCI below 30, requiring rehabilitation. Road segments classified as Poor or Very Poor are disproportionately concentrated in rural LGAs with the lowest traffic volumes. Annual maintenance cost modelling shows that investment of 1.2 billion naira annually over five years, prioritised by GIS-based condition data, can improve the network average PCI from 38 to 58. The study proposes a GIS-based road asset management system architecture for adoption by the Nasarawa State Ministry of Works, including field data collection protocols, database structure, and reporting dashboards.

Keywords: road asset management, GIS, geospatial analysis, pavement condition, Nasarawa State