164 citations · 204 across the 8 of their papers we have counts for
3 papers · 1 filter
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership
Hugues Moreau, Étienne Côme, Allou Samé +1
The Covid-19 pandemic drastically changed urban mobility, both during the height of the pandemic with government lockdowns, but also in the longer term with the adoption of working…
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
Florian Toqué, Etienne Côme, Martin Trépanier +1
One of the major goals of transport operators is to adapt the transport supply scheduling to the passenger demand for existing transport networks during each specific period. Anoth…
The discriminative functional mixture model for a comparative analysis of bike sharing systems
Charles Bouveyron, Etienne Côme, Julien Jacques
Bike sharing systems (BSSs) have become a means of sustainable intermodal transport and are now proposed in many cities worldwide. Most BSSs also provide open access to their data,…