| Spatio-temporal modeling of yellow taxi demands in New York City using generalized STAR models A Safikhani, C Kamga, S Mudigonda, SS Faghih, B Moghimi International Journal of Forecasting, 2018 | 49 | 2018 |
| Predicting short-term uber demand in new york city using spatiotemporal modeling SS Faghih, A Safikhani, B Moghimi, C Kamga Journal of Computing in Civil Engineering 33 (3), 05019002, 2019 | 30 | 2019 |
| Taxi and Mobility: Modeling Taxi Demand Using ARMA and Linear Regression S Faghih, A Shah, Z Wang, A Safikhani, C Kamga Procedia Computer Science 177, 186-195, 2020 | 13 | 2020 |
| Predicting short-term uber demand using spatio-temporal modeling: A New York city case study SS Faghih, A Safikhani, B Moghimi, C Kamga arXiv preprint arXiv:1712.02001, 2017 | 11 | 2017 |
| Understanding and Modeling Taxi Demand Using Time Series Models SS Faghih PQDT-Global, 2019 | 4 | 2019 |
| Predicting short-term demand of uber using spatio-temporal modeling, case study: New York City SS Faghih, A Safikhani, B Moghimi, C Kamga Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 2 | 2018 |
| Ridership Changes and Price Elasticity Based on a 2013 Fare Hike in New York City SS Faghih, C Kamga, MA Yazici, D Wan, S Mudigonda Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | | 2017 |
