Search Results for author:
Found 1 papers, 1 papers with code
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
To understand its effects on rail public transport ridership, we propose a dedicated Regression Mixture Model able to perform both the clustering of public transport stations and the segmentation of time periods, while ignoring variations due to additional variables such as the official lockdowns or non-working days.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
