Demonstration of Enhanced Data Infrastructure for Multimodal Planning in the COVID-19 Environment to Improve Public Confidence in Transit Service Reliability

This project will develop a data model integrating internal and external datasets to analyze how COVID-19 changed mobility flows, how COTA and the broader multimodal system adapted, and the effectiveness of those adaptations. It will identify data (including for the first-time individual movement data) and infrastructure needed to derive actionable insights that more equitable mobility solutions to move every life forward in Central Ohio, and across the country now and in the future.

• Supplemental Notes:
  • USDOT Research Hub DisplayID 157403

Language

• English

Project

• Status: Active
• Sponsor Organizations:

  Federal Transit Administration

  ,    
• Managing Organizations:

  Federal Transit Adminstration

  Office of Research, Demonstration, and Innovation
  Washington, DC  United States  20590
• Project Managers:

  Gikakis, Christina

• Start Date: 20210527
• Expected Completion Date: 20220331
• Actual Completion Date: 0
• USDOT Program: COVID-19 Research and Demonstration Program

Subject/Index Terms

• TRT Terms: COVID-19; Data analysis; Public transit; Transportation planning
• Geographic Terms: Ohio
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01864236
• Record Type: Research project
• Source Agency: Department of Transportation
• Files: RIP, USDOT
• Created Date: Nov 17 2022 11:56AM