activity
20172022
most citedPredicting Short-Term Uber Demand Using Spatio-Temporal Modeling: A New York City Case Study

9 citations · 12 across the 5 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

stat.AP2022

Non-Stationary Time Series Model for Station Based Subway Ridership During Covid-19 Pandemic (Case Study: New York City)

Bahman Moghimi, Camille Kamga, Abolfazl Safikhani +2

The COVID-19 pandemic in 2020 has caused sudden shocks in transportation systems, specifically the subway ridership patterns in New York City. Understanding the temporal pattern of…