As of Feb. 26, 2016, Washington, DC's unemployment rate was 6.6%, 48th in the nation (Source: BLS).
Idea: Connect skilled workers of high unemployment/low economic geographic areas (census tracts) to opportunities in areas of high-opportunity.
Take-away: Unemployed workers may need to travel long distances to obtain work in high opportunity areas. This project pairs workers with jobs in order to maximize income after commuting expense. The results should inform transit decisions for DC.
Used this info to identify high underutilization tracts (unemployment >= 10%) and high opportunity tracts (areas where there are more jobs than people living in the area).
We passed this info along to our Operations Research/Prescriptive Analytics team to run their optimization model built in Gurobi Optimizer to determine the optimal job paths with the goal of maximizing profit to underemployed/unemployed tracts (i.e., Profit = Expected Revenue from job less the Estimated cost for transportation and Estimated travel time * Expected wage rate). They used number of people unemployed in a tract as the source number and number of available jobs (computed using 6% (our estimate of the national unemployment rate) times the number of jobs, which is a really rough estimate).