Projects - Page 2 of 2
Forecasting the Post-Pandemic Transit Recovery to Inform Relief Funding
As cities recover from the COVID-19 pandemic, there is a pressing need for fare-dependent transit agencies to have access to a reliable forecast of post-pandemic ridership recovery. I developed a machine learning-based forecast of this important metric for Infrastructure Canada.