1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.AP2017
Predicting Short-Term Uber Demand Using Spatio-Temporal Modeling: A New York City Case Study
Sabiheh Sadat Faghih, Abolfazl Safikhani, Bahman Moghimi +1
The demand for e-hailing services is growing rapidly, especially in large cities. Uber is the first and popular e-hailing company in the United Stated and New York City. A comparis…
stat.AP2017★ 1 cited
Spatio-temporal Modeling of Yellow Taxi Demands in New York City Using Generalized STAR Models
Abolfazl Safikhani, Camille Kamga, Sandeep Mudigonda +2
A highly dynamic urban space in a metropolis such as New York City, the spatio-temporal variation in demand for transportation, particularly taxis, is impacted by various factors s…