Developing static and dynamic multimodal transportation system models to estimate individual commuter footprints using ArcGIS, Google Maps and here 360

According to the U.S. Greenhouse Gas (GHG) Emissions and Sinks (2015), 27% of GHG emissions in the U.S. are produced by the Transportation sector, second only to the Electric Power Industry with 29%. A vast majority of these emissions are associated with single occupant (Drive-alone) automobile trips. While many policies exist for incentivizing alternative transportation modes, especially for commuting trips, only a few tools are available for estimating the potential benefits. Furthermore, the potential benefits are estimated using aggregate models and assumptions of commute behavior and existing transportation systems. Accordingly, to improve the accuracy of these estimates and potential impact of these policies, this research focuses on developing models to estimate footprints of individual commuters using real-world multimodal transportation systems.