| Using agent-based modeling to evaluate the effects of Hurricane Sandy’s recovery timeline on the ability to work E Hajhashemi, PM Murray-Tuite, SL Hotle, K Wernstedt Transportation research part D: transport and environment 77, 506-524, 2019 | 8 | 2019 |
| Modelling driver's response to demand management strategies for electric vehicle charging in Australia ALS de Sa, PS Lavieri, YT Cheng, E Hajhashemi, GJM Oliveira Energy Research & Social Science 103, 103218, 2023 | 3 | 2023 |
| The impact of high-occupancy lanes on the uptake of on-demand ridesplitting services E Hajhashemi, PS Lavieri, N Nassir | 1 | 2022 |
| Modelling interest in co-adoption of electric vehicles and solar photovoltaics in Australia to identify tailored policy needs E Hajhashemi, P Sauri Lavieri, N Nassir Scientific Reports 14 (1), 9422, 2024 | | 2024 |
| Identifying Electric Vehicle Charging Styles Among Consumers: A Latent Class Cluster Analysis E Hajhashemi, P Lavieri, N Nassir Available at SSRN 4433893, 2023 | | 2023 |
| Applying a latent class cluster analysis to identify consumer segments of electric vehicle charging styles E Hajhashemi, PS Lavieri, N Nassir hEART 2023 - 11th Symposium of the European Association for Research in …, 2023 | | 2023 |
| Agent-based Modeling for Recovery Planning after Hurricane Sandy E Hajhashemi Virginia Tech, 2018 | | 2018 |
Pamela Murray-TuiteClemson UniversityVerified email at clemson.edu
