Abstract
The relationships between unemployment and the public transportation system in the city of Chicago are investigated and analyzed, thereby identifying the geographic locations of concentrations of the residences of unemployed persons. A computer-coded representation of the public transit system was analysed to determine minimum point-to-point travel times, after which these data were used to estimate the level of service offered to unemployed persons travelling to new work opportunities.