Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago A Ghaffar, S Mitra, M Hyland Transportation Research Part C: Emerging Technologies 119, 102769, 2020 | 97 | 2020 |
Quantifying the Employment Accessibility Benefits of Shared Automated Vehicle Mobility Services: Consumer Welfare Approach Using Logsums T Ahmed, M Hyland, N Sarma, S Mitra, A Ghaffar Transportation Research Part A: Policy and Practice 141, 221-247, 2020 | 21 | 2020 |
Effective and efficient fleet dispatching strategies for dynamically matching AVs to travelers in large-scale transportation systems JSN Sarma, D Nam, MF Hyland, F De Souza, D Yang, A Ghaffar, ... 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 6 | 2020 |
The Effects Of Different Generational Sociodemographic Characteristics On Dynamic Ridesharing D Donaldson, A Ghaffar 2018 National Household Travel Survey Workshop, 44, 2018 | 4 | 2018 |
Meta-analysis of Shared Micromobility Ridership Determinants A Ghaffar, M Hyland, JDM Saphores Transportation Research Part D: Transport and Environment 121, 103847, 2023 | 3 | 2023 |
What Drives Shared Micromobility Ridership? M Hyland, JD Saphores, A Ghaffar | 1 | 2023 |
Fleet Sizing for Robo-Taxi Services: Comparing Novel and State-of-the-Art Scalable Modeling Approaches A Ghaffar, N Shariat, M Hyland Available at SSRN 4168352, 2022 | 1 | 2022 |
Automated Vehicles and Transportation Network Companies Will Likely Impact the Efficacy of Transportation Pricing Strategies MF Hyland, D Nam, T Ahmed, A Ghaffar | | 2024 |
Transport Pricing Policies and Emerging Mobility Innovations A Ghaffar, T Ahmed, D Nam, MF Hyland | | 2023 |