GIS-Based Spatial Analysis of Accident Hotspots: A Nigerian Case Study

This study identified high-risk locations (hotspots) using geographic information systems (GIS) and spatial analysis. Five years of accident data (2013–2017) for the Lokoja-Abuja-Kaduna highway in Nigeria were used. The concentration analysis was conducted mean center Kernel density estimation method. These further verified Moran’s I statistics (spatial autocorrelation) to determine their clustering with statistical significance. Fishnet polygon network weight matrix approaches Getis–Ord Gi* statistic used hotspot Hotspots exist 2013, 2014, 2017 a significance level between 95–99%. However, hotspots 2015 2016 have low pattern is random. autocorrelation overall showed that distribution accidents on route Thus, preventive measures should be based yearly average daily traffic values 31,270 16,303 obtained northbound southbound directions Abaji–Abuja section. results show high confidence levels are at points where there geometric features.