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ABSTRACT
The University of Benin Teaching Hospital is one of the major healthcare care facilities with different medical lines and equipment that tends to many patience. Arriving an early time reduce the likelihood of a fatal occurrence. Hence this project aim is to carry out geospatial mapping of shortest routes for emergency response around the hospital. By integrating geographical information system (GIS) technology with Dijkstra's algorithm allows the creation of network dataset which includes road networks, and other relevant spatial information. Dijkstra's algorithm is then applied to calculate the shortest paths from selected locations to UBTH, taking into account factors such as distance and time. This study determines the most efficient route to UBTH reducing travel distance and time. Also, calculates the travel time and distance from designated locations to UBTH and provides a directional guide to the University of Benin Teaching Hospital. The shortest amongst the routes after the application of Dijkstra’s algorithm was determined to be New Benin market with a distance of 5449.4m and travel time of 8mins, and the least short was Ziko gas with a travel distance of 8541.1m and travel time of 13mins at an average speed of 40km/hr. Also, from Egor market the total length travelled is 5449.4m and a travel time of 8mins, 8031.8m in 12mins from Evbuotubu market and 6594.1m in 10mins from National Museum to UBTH. This study potentially reduces the mortality rate caused by inefficient transport system, and increases the chance of survival of patients. Implementing GPS technology will help in navigating the shortest routes more efficiently
