Using machine learning to find optimal locations for food bank depots

Abstract

Aside from the main food bank location, the Calgary Food Bank also distributes food to clients through food distribution depots located throughout Calgary. The K-Means clustering machine learning algorithm was applied to Calgary Food Bank data to determine where future depots should be located in order to minimize the time clients spend travelling to depots. This would reduce carbon emissions and increase food accessibility in the city.