• L. S. Bombom
  • B. J. Saidu
  • E. A. Akintunde
  • K. C. Nyango
Keywords: Geospatial, Getis-Ord, Moran’s I, road traffic fatality rate, spatial autocorrelation


Geospatial analysis of road traffic crashes seeks to identify or detect areas of road safety concerns. This paper adopted the number of fatalities per crash to mine for any underlying patterns in road traffic fatality rates in states in Nigeria for the period 2005 – 2018. Four temporal periods were used for the study: 2005-2018, 2005-2009, 2010-2014 and 2015-2018. These data sets were analyzed using the Moran’s I and Getis-Ord statistics. The global Moran’s I results showed that the periods 2005-2018, 2005-2009 and 2015-2018 had a cluster of  fatality rates in Nigeria. Spatial distribution of rates for 2010-2014 were however random. Getis-Ord General G statistics also found cluster in 2005-2018 and 2015-2018 distributions but 2005-2009 and 2010-2014 had random distributions. Anselin’s Moran’s I statistics indicated significant positive spatial autocorrelation for road traffic fatality rates for Kwara and Kogi states (2005-2009), Yobe and Jigawa (2010-2014) and Katsina, Kano, Bauchi and Rivers (2005-2018) while Delta state showed significant negative spatial autocorrelation (2015-2018). Getis-Ord Gi* results detected that the region of significant fatality rates was in the northern states especially of Katsina, Yobe, Jigawa, Kano and Bauchi, which show up more frequently in the study periods. Rivers and Abia states showed up as cold spots. The results generate several opportunities for closer scrutiny of road traffic crash data, for policy and legislation formulation to mitigate road traffic fatalities.


Ackaah, W. and Salifu, M. (2011). Crash Prediction Model for Two-Lane Rural Highways in the Ashanti Region of Ghana, IATSS Research 35, 34–40.

Anselin, L. (1995). Local Indicators of Spatial Autocorrelation, Geographical Analysis, 27(2), 1 – 23.

Boateng, F. G. (2021). Why Africa Cannot Prosecute (Or Even Educate) its Way Out of Road Accidents: Insights from Ghana, Humanities and Social Sciences Communications, 8:13, 1 – 11.

Bombom, L. S. and Edino, M.O. (2009). Road Profiling of Traffic Accidents in Jos, Nigeria: 1995 – 1999. International Journal of Injury Control and Safety Promotion, 16 (3), 169 – 174.

Erdogan. S., Yilmaz, I; Baybura, T. and Gullu, M. (2008). Geographical Information Systems Aided Traffic Accident Analysis Systems Case Study: City Of Afyonkarahisar, Accident Analysis and Prevention, 40, 174 - 181.

Erdogan, S. (2009). Explorative Spatial Analysis of Traffic Accident Statistics and Road Mortality among the Provinces of Turkey, Journal of Safety Research, 40, 341 – 351.

Getis, A., & Ord, J.K (1996). Local Spatial Statistics: An Overview. In Longley, P and Batty, M. (Eds.), Spatial Analysis Modeling in a GIS environment. Cambridge: GeoInformation International.

Hu, Q., Li, X., Liu, J. and Adanu, E. K. (2021). A Low-Cost Approach to Identify Hazard Curvature for Local Road Networks Using Open-Source Data, Transportation Research Interdisciplinary Perspectives, 10, 1 – 9.

National Bureau of Statistics (2020). Road Transport Data September Report, Federal Road Safety Corps, Abuja, Nigeria.

NHTSA (2021). Traffic Safety Facts 2019 Data, US Department of Trasportation, Washingon D.C.

Nicholson, A. (1999). Analysis of Spatial Distributions of Accidents. Safety Science, 31, 71 – 91.

Onyemaechi, N. and Ofoma, U. R. (2016). The Public Health Threat of Road Traffic Accidents in Nigeria: A Call to Action. Ann Med Health Sci Res, 6, 199 – 204.

Osayomi, T. and Areola, A. A. (2015). Geospatial Analysis of Road Traffic Accidents, Injuries and Deaths in Nigeria, Indonesian Journal of Geography, 47(1), June, 88 – 9.

Richards, D. C. (2010). Relationship between Speed and Risk of Fatal Injury: Pedestrians and Car Occupants, Road Safety Web Publication No. 16, Department for Transport: London.

Sengupta, A., Gayah, V. V. and Donnell, E. T. (2021) Examining the Impact of Crash Data Aggregation on SPF Estimation, Accident Analysis and Prevention, 160, Sept.,

The Institute for Road Safety Research (2012). The Relation between Speed and Crashes, SWOV Fact sheet © SWOV, Leidschendam, The Netherlands April 2012.

Tobler, W. R. (1970). A Computer Movie Simulating Urban Growth in the Detroit
Region. Economic Geography, 46, 234 – 240.

Ukoji, V. N. (2016). Trends and Patterns of Fatal Road Accidents in Nigeria (2006-2014). In Marc-Antoine Pérouse de Montclos (Ed.) Violence in Nigeria: A Qualitative and Quantitative Analysis, IFRA-Nigeria.

Wang, M., Yi, J., Chen, X., Zhang, W. and Qiang, T. (2021). Spatial and Temporal Distribution Analysis of Traffic Accidents Using GIS-Based Data in Harbin, Journal of Advanced Transportation, 2021, 1- 10. https://doi.org/10.1155/2021/9207500

Whitelegg, J. (1987) A Geography of Road Traffic Accidents, Transactions of the Institute of British Geographers, 12(2), 161 - 176

World Health Organization. (2015). Global Status Report on Road Safety 2015; World Health Organization: Geneva, Switzerland, 2015.

World Health Organization (WHO) (2018). Global Status Report on Road Safety 2018. World Health Organization, Geneva.

Yahaya, A. M., Yusuf, A. S., Musa, I., Maaji, F. I., Bambale, S. U., Oscar, R., Bawa, A. M. and Uwanuakwa, A. (2021). A Spatiotemporal Appraisal of Road Traffic Accident in Kaduna Metropolis, Nigeria, Journal of Social, Humanity, and Education (JSHE) 1 (3), 209 – 226.

Yero, A. S., Ahmed, T. Y. and Hainin, M. R. (2015). Evaluation of Major Causes Of Road Accidents Along North–East Highway, Nigeria, Jurnal Teknologi, 7 (4), 39 – 43.

Yunus, S. and Abdulkarim, I. A. (2021). Geospatial Analysis of Road Traffic Accidents and Emergency Response Optimization in Kano Metropolis, Nigeria, Research Square, DOI: https://doi.org/10.21203/rs.3.rs-1138619/v1
How to Cite
BombomL. S., SaiduB. J., AkintundeE. A., & NyangoK. C. (2022). EXPLORATIVE GEOSPATIAL ANALYSIS OF ROAD TRAFFIC FATALITIES IN NIGERIA FOR THE PERIOD 2005 – 2018. FUDMA JOURNAL OF SCIENCES, 6(3), 167 - 176. https://doi.org/10.33003/fjs-2022-0603-992