The Proximity of Road Traffic Crash Black Spots to Federal Road Safety Commission Zebra Location/Emergency Health Care Facilities in Federal Capital City, Abuja, Nigeria

  • David Sesugh Aule Department of Geography, Nigerian Defence Academy, Nigeria
  • Mamman Saba Jibril Department of Geography, Nigerian Defence Academy, Nigeria
  • Badiatu Danladi Garba Department of Geography, Nigerian Defence Academy, Nigeria
  • Taiye Oluwafemi Adewuyi Department of Geography, Nigerian Defence Academy, Nigeria
Keywords: proximity analysis, buffering, health facilities, zebra location, RTC, GIS, FCC


This research analyzed the proximity of road traffic crash (RTC) Black Spots to Federal Road Safety Commission (FRSC) zebra locations/emergency health care facilities to ascertain the rescue of RTC victims in Federal Capita City (FCC). Geographic Information System (GIS) based location model was applied in the street network analysis to identify RTC black spots that are outside the close reach of FRSC rescue points/health facilities in FCC. Distance was used as impedance factor. Spatial query and buffer analysis were employed to determine accident spots that fall between 2 kms of the health facility and zebra point. Remote Sensing and GIS techniques were applied in proximity analysis using location strategies and interconnected features. The results were presented on road network maps. The result suggests that five (5) additional zebra points would be effective in terms of proximity to RTC in the area and would considerably improve spatial coverage for response times. The areas where quick response and medical facilities are insufficient were identified. Optimal locations for siting zebra points that can effectively service RTC black spots were proposed.


Alade & Adepoju (2010). Real Time Model for Road Safety and Access to Emergence service: Resource Paper for NASRDA Crime Mapping Training for Security Agencies. pg 14 -18.
Annual Abstract of Statistics (2009). Administrative Structure of FCT. Complied by National Bureau of Statistics, Abuja.
Balogun S. A. (2013). Modeling Road Traffic Crash in Abuja with GIS / Remote Sensing Technology. Presented at the First Regional Conference on Remote Sensing and GIS Application. NCRS and Olabis Onabanjo University, Ogun.
Casali, Y., & Heinemann, H. R. (2019). A topological analysis of growth in the Zurich road network. Computers, Environment and Urban Systems, 75, 244–253.
Churches, R. L. (1997). Location Modeling and GIS; John Wiley & Sons: New York, NY, USA, 1997.
Debashis, D., Anil, K. O., Harlin, K., Partha., P. B., & Mrinal, K. D. (2019). Road network Analysis of Guwahati city using GIS. SN Applied Sciences, 1, 906.
Eiselt, H. A. (1992). Location analysis: A synthesis and survey. European Journal, Operation Resource, 165, 5–19.
Environmental Systems Research Institute. (2007). Geospatial Analysis using ArcGIS 10.0.
Fuller, D., Jeffe, M., Williamson, R. A., & James, D. (2002). Satellite Remote Sensing and Transportation lifelines: Safety and Risk analysis along rural southwest Roads. American Society for Photogrammetry and Remote Sensing. Transportation Research Board. 500 Fifth St. NW, Washington, D.C.
Hale, T. S., & Moberg, C. R. (2003). Location science research: A review. Annual Operation Resource, 123, 21–35.
Hamid, A. A. A., Mohammed, T. A., Mohammed, D., & Ahmed, A. (2020). A Network Analysis for Finding the Shortest Path in Hospital Information System with GIS and GPS. Journal of Network Computing and Applications, 5, 10-22.
Hanae, E. G., & Claire, L. (2021). Road Network Analysis Based on Geo-Historical Data. ThéMA UMR 6049, Burgundy Franche-Comté University-
Jang, G. U., Joo, J. C., & Park, J. (2020). Capturing the Signature of Topological Evolution from the Snapshots of Road Network. Complexity; Hindawi.
Kepaptsoglou, K., Karlaftis, M., & Mintsis, G. (2012). Model for Planning Emergency Response Services in Road Safety. Urban Planning Development, 138(1), 18-25.
Kerekes, A. (2018). Road Network Analysis Using GIS Techniques in the Interest of Finding the Optimal Routes for Emergency Situatons. Case Study: Cluj-Napoca (Romania). Geographia Napocensis Anul XII, nr. 1.
Lamber, B. (2012). Proximity Analysis. Press-Location Strategies, P. 16, 2430 North Forest Suite 106, Getzillive, NY.
Mingke, L., & Stefanakis, E. (2020). Geospatial Operations of Discrete Global Grid Systems: A Comparison with Traditional GIS. Journal of Geovisualization and Spatial Analysis.
Ojiaka, J. C., Igbokwe, E. C., & Ossai, E. N. (2018). Application of GIS and Remote Sensing Approach for the Analysis of Asaba Urban Street Network of delta State, Nigeria. International Journal of advances in Scientific Research and Engineering, (4)1, 95-102
Pasha, I. (2006). Ambulance Management System using GIS. Masters’ theses, Department of Computer and Information Science, Linkoping University, SE-581 83, Sweden.
Pour, A. G., & Yue, W. L. (2012). The Role of Geographic Information Systems (GIS) in Road Emergency Services Location and Black Spot Studies: ATRF Proceedings. Vol 21.
ReVelle, C. S. (1987). Urban public facility location. In Millis E. S. (ed), Handbook of regional and urban economics. Vol II. Amsterdam, Elsevier Science:1053-96.
Sánchez-Mangas, R., García-Ferrrer, A., De Juan, A., & Arroyo, A. M. (2010). The probability of death in road traffic accidents. How important is a quick medical response. Accident Analysis and Prevention Journal, 42(4), 1048–1056, 2010.
Wikipedia (2013). Abuja. Retrieved Ausgust, 2013 from
William, J. E., Ina, S. M. R., Jonathan, W. L., & Mariana, D. (2020). Erosion Analysis of the Road Network in the Lake Tahoe West: Collaborative Restoration Project.