This study will develop a framework that integrates an activity-based travel demand model with path retention, an emissions model (MOVES Matrix) and demographic analysis system (Population Synthesis).
This research will implement a commuter survey targeting at NWC Express Lane users and non-users to identify factors influencing observed travel behavioral changes, which includes shifts in commute travel routes and changes in shared ride activities.
This reserch will quantify sustainable sidewalk infrastructure costs for the City of Atlanta, assuming a 40-year life-cycle for repair and replacement.
This research will develop a framework to combine several data sources (licensed household marketing demographics data, vehicle registration data, and license plate observation data) to generate sub-region synthetic fleets.
This research analyze five promising transportation control measures: Parking pricing in the morning peak period, Doubling transit frequency doubling, Cent/mile congestion pricing, Implementing an increase in the gasoline tax, and Opting-in to California’s low emission vehicle (LEV) program.
This project updates and enhances Georgia Tech’s 2018 spreadsheet-based modeling tool that allows users to assess on-road fuel consumption under real-world traffic conditions.
This project used a survey in areas without a strong bicycling culture, with the intent to measure the preferences for cycling infrastructure among current and potential cyclists. Results could be useful in informing infrastructure investments.
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.
This project studies the extension of the 1-85 HOT lanes (1-85 Extension) and the new reversible Northwest Corridor (NWC) express lanes, with special focus on vehicle occupancy, vehicle throughput, and person throughput.
