Using Multi-Modal Path-Specific Transit Trips in Transportation Social Sustainability Analysis: Case Study in Atlanta, GA
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.
Language
- English
Project
- Status: Active
- Funding: $60000
-
Contract Numbers:
DOT 69A3551747114
-
Sponsor Organizations:
National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesGeorgia State Road and Tollway Authority
Atlanta, United StatesOffice of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesGeorgia Institute of Technology, Atlanta
790 Atlantic Drive
Atlanta, GA United States 30332-0355 -
Project Managers:
Iacobucci, Lauren
-
Performing Organizations:
National Center for Sustainable Transportation
University of California, Davis
Davis, CA United StatesGeorgia Institute of Technology, Atlanta
790 Atlantic Drive
Atlanta, GA United States 30332-0355 -
Principal Investigators:
Fan, Huiying
Guin, Angshuman
Guensler, Randall
- Start Date: 20210201
- Expected Completion Date: 20220930
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Case studies; Demographics; Equity; Shortest path algorithms; Sustainable transportation; Transit buses; Travel behavior; Travel demand
- Geographic Terms: Atlanta (Georgia)
- Subject Areas: Planning and Forecasting; Public Transportation; Society;
Filing Info
- Accession Number: 01766408
- Record Type: Research project
- Source Agency: National Center for Sustainable Transportation
- Contract Numbers: DOT 69A3551747114
- Files: UTC, RIP
- Created Date: Mar 2 2021 4:15PM