Resource allocation model based on Dijkstra's algorithm

The increasingly frequent occurrence of natural, man-made and environmental disasters in recent years has resulted in both a large number of casualties and widespread property damage. To mitigate the damage caused, a lot of emergency supplies are required. However, due to the limited quantity of emergency supplies, the allocation of rescue resources is extremely important. Using the March 2014 Ebola outbreak in western Africa as an example, this paper uses Dijkstra's algorithm to build a system which determines the optimal allocation of emergency resource to cities in Sierra Leone. Each city's weightage is calculated using data provided before Dijkstra's algorithm is applied.