Project: #384 A modeling framework to quantify impacts of mobility services on multimodal transportation systems: Methodology and a case study in Columbus, OH Progress Report - Reporting Period Ending: Sept. 30, 2022 Principal Investigator: Sean Qian Status: Active Start Date: July 1, 2022 End Date: June 30, 2023 Research Type: Advanced Grant Type: Research Grant Program: FAST Act - Mobility National (2016 - 2022) Grant Cycle: 2022 Mobility21 UTC Progress Report (Last Updated: Sept. 20, 2022, 8:21 p.m.) % Project Completed to Date: 20 % Grant Award Expended: 0 % Match Expended & Document: 0 USDOT Requirements Accomplishments Started to develop mobility service model aims to simulate routing shuttles for rider pick-ups and drop-offs leveraging the real-world data (e.g., rider demand, travel time, and mainline bus schedule). Developed a set of performance metrics on sustainability and accessibility. Impacts This research can derive implications of these policies and strategies, which may contribute to the better decision-making in mobility service operation and investment. It also leads to technology transfer by open sourcing all programs and synthesized data. Other New methodology to evaluate the effectiveness of mobility services and derive policies for improve sustainability. new open source repository and data repository Outcomes New Partners n/a Issues n/a