This research project links Georgia Tech’s newest shortest path calculator, BikewaySim, with the finished shortest path calculator for public transportation, TransitSim.
This research project will implement a before/after, experimental-control group study of slow street infrastructure to examine the role that supportive non-motorized infrastructure can play in non-motorized travel.
The goal of this project is to develop and disseminate data and a method that practitioners can use to estimate multimodal trip-generation rates for “smart growth” land use development projects proposed in California.
This project examines changes in the spatial pattern of warehousing and distribution (W&D) activities and how these changes may impact truck vehicle miles traveled.
This project analyzes the switch from level-of-service (LOS) to vehicle miles traveled (VMT) as a measure of significant environmental impacts. The researchers study how both LOS and VMT relate to development, housing, land use, and emissions.
Starting in early 2020, the world has experienced huge disruptions due to the COVID-19 pandemic. The analyses carried out in this study will shed light on the complicated impacts of the COVID-19 pandemic on activity participation and travel patterns, including commuting and non-commuting (e.g., discretionary) trips, and the use of various means of travel.
In this project, the research team will quantify the magnitude of micromobility service effects on vehicle miles of travel (VMT) through triangulation and synthesis of three primary travel behaviors: mode substitution, transit connection, and driving/ride-hailing behavior.
This project studies alternatives to traditional transit services in rural San Joaquin Valley communities, with a particular emphasis on cost-effectiveness analysis.
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.
