Background: The high influx of private and public vehicles within global cities (including Ibadan) has resulted in traffic congestion within the city centre. Ibadan North-East, an urban local government area (LGA) within the metropolitan land area of Ibadan, has been experiencing automobile accidents and traffic congestion which in turn limits emergency responders.Objectives: The broad objective of the study was to develop a digital road network database for emergency response to road traffic accident, Ibadan North East, Nigeria.Methods: This study made use of primary and secondary data to generate spatial and non-spatial data. ArcGIS 10.3 was used to create the database, analyse data and display the results. Spatial search and network analysis were carried out using a kernel density estimated tool to generate a black-spot area within Ibadan North-East. Dijkstra’s shortest path algorithm in the ArcGIS Network Analysis was utilised to identify the closest health facility to the road traffic crash scene.Results: The most cost-effective haven introduced route impedance and is defined as the best route. Study findings show that dynamic distance varies from the best route to an alternative route. Also, kernel density estimation reveals that crashes widely occur in the northeastern and southwestern parts of Ibadan North-East (Iwo Road and Orita-Aperin). Incorporating live traffic data using GPS technology and traffic cameras was identified to enhance road traffic data documentation and safety.Conclusion: The study identifies GIS as a decision support system that is useful in the area of planning, mitigation, preparedness, response and recovery for decision-making in road traffic-related emergency management and emergency planning services in Ibadan.

Epileptic power supply is a major problem which has great impact on socioeconomic development of Nigeria. Power Holding Company of Nigeria (PHCN) is responsible for power distribution in the country and one of the major challenges is the haphazard distribution of their facilities, most especially, electrical transformers. In addition, spatial locations of electrical transformers and other attribute data are kept using manual approach and in some cases, the records are not available. This study is aimed at using Geographic Information System (GIS) to take inventory of PHCN electrical transformers in Ikorodu district of Lagos, in order to assess their spatial distribution. The research method adopted includes converting the existing map of the study area into digital format through scanning and digitizing, collection of spatial locations of electrical transformers' with GPS receivers and attribute data through social survey. ArcGIS software was employed to create spatial database for forty two (42) electrical transformers located in the study area and various spatial analyses such as query, overlay, buffering, etc. were performed to view the spatial distribution of PHCN facilities. The spatial database created can be easily updated from time to time at a fast rate and reduced cost, and without passing through the whole process of map production. Appropriate recommendations were made for socioeconomic development of the country and effective management of the PHCN facilities. The outcome of the study can be adopted in other developing countries with similar challenges.