Project: #305 Data-driven mobility service design: a case study for Moon Township Progress Report - Reporting Period Ending: Sept. 30, 2019 Principal Investigator: Sean Qian Status: Active Start Date: July 1, 2019 End Date: June 30, 2020 Research Type: Applied Grant Type: Research Grant Program: Private Funding Grant Cycle: 2019 Smart Mobility Challenge Progress Report (Last Updated: Sept. 23, 2019, 8:33 p.m.) % Project Completed to Date: 20 % Grant Award Expended: 20 % Match Expended & Document: 20 USDOT Requirements Accomplishments The proposed research project will: 1) Develop a generic demand model for sparse microtransit demand to estimate/predict the time-varying passenger demands in Robinson Township. The model estimates the presence/quantum of demand between depots and different destinations in the first-mile/last-mile operations of RideACTA (in particular their time-varying demand characteristics); The current microtransit service will be simulated to understand the demand response and service efficiency; 2) Create a feeder service transit model for Moon township area based on estimated demand; 3) Simulate operations in Moon Township with estimated/predicted demand and estimate the effectiveness of the proposed operation model through the simulation. We have completed processing and analyzing RideACTA data, and completed Task 1: Create an estimation/prediction model for Robinson Township This project has supported two phd research assistants. We have discussed the initial outcomes with RideACTA. In the next 6 months, we plan to develop the algorithms/tool to complete tasks 2 and 3. Impacts This project would help improve the efficiency and reduce the cost for micro-transit services, and ultimate improve the holistic transportation systems by using efficient micro-transit service to complement regular public transit. This project, if successful, would be able to provide a fundamental knowledge to understand human behavior from analyzing real-world ridership data, and optimally design micro-transit services. Other n/a Outcomes New Partners n/a Issues n/a