This study will extend Georgia Tech’s previous efforts in the application of regional travel demand model path retention algorithms, the regional TransitSim shortest transit path simulator, to social sustainability analysis. The goal is to produce a path-specific and demographically-explicit dataset for regional-model-predicted transit travel (~1 million trips per day in the region), and the competing shortest automobile path (the lowest ABM-modeled cost alternative automobile trip path that was not taken by the transit traveler, but taken by other travelers that drove between the same origin-destination pair), to conduct an equity assessment of travel KPIs across different demographic groups.
