Ramin Shabanpour

I’m interested in the human side of transportation—and what happens when people, technology, and infrastructure interact in ways we don’t fully expect. My research focuses on travel behavior, emerging mobility, electrification, and transportation resilience. I’m especially interested in how people adapt to new technologies and make decisions when transportation systems are changing, disrupted, or uncertain. I combine behavioral modeling, simulation, network analysis, and AI to study these interactions and translate them into better planning and infrastructure decisions. Ultimately, I want to help build transportation systems that are not only smarter and more efficient, but also more adaptable, resilient, and ready for what comes next.

  • PhD, University of Illinois at Chicago
  • MS, Sharif University of Technology
  • BS, Sharif University of Technology

  • Mohammadi, M., Davatgari, A., Asgharpour, S., Shabanpour, R., Mohammadian, A., Derrible, S., Pendyala, R.M., & Salon, D. (2026). The interaction between the recent evolution of working from home and online shopping. Transportation, 53(2), 535-570.Springer Nature. doi: 10.1007/s11116-024-10506-4.
  • Komeilian, P., & Shabanpour, R. (2025). Assessing spatial access disparities to critical facilities during hurricanes in Florida. Transportation Research Part D Transport and Environment, 147, 104957.Elsevier. doi: 10.1016/j.trd.2025.104957.
  • Parsa, A.B., Shabanpour, R., Mohammadian, A., Auld, J., & Stephens, T. (2021). A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow. Transportation Letters, 13(10), 687-695.Taylor & Francis. doi: 10.1080/19427867.2020.1776956.
  • Rahimi, E., Shabanpour, R., Shamshiripour, A., & Kouros Mohammadian, A. (2021). Perceived risk of using shared mobility services during the COVID-19 pandemic. Transp Res Part F Traffic Psychol Behav, 81, 271-281.Elsevier. doi: 10.1016/j.trf.2021.06.012.
  • Golshani, N., Shabanpour, R., Mohammadian, A., Auld, J., & Ley, H. (2020). Modeling evacuation demand during no-notice emergency events: Tour formation behavior. Transportation Research Part C Emerging Technologies, 118, 102713.Elsevier. doi: 10.1016/j.trc.2020.102713.
  • Rahimi, E., Shamshiripour, A., Shabanpour, R., Mohammadian, A., & Auld, J. (2020). Analysis of Transit Users’ Response Behavior in Case of Unplanned Service Disruptions. Transportation Research Record Journal of the Transportation Research Board, 2674(3), 258-271.SAGE Publications. doi: 10.1177/0361198120911921.
  • Shamshiripour, A., Rahimi, E., Shabanpour, R., & Mohammadian, A. (2020). Dynamics of travelers’ modality style in the presence of mobility-on-demand services. Transportation Research Part C Emerging Technologies, 117, 102668.Elsevier. doi: 10.1016/j.trc.2020.102668.
  • Shamshiripour, A., Rahimi, E., Shabanpour, R., & Mohammadian, A.K. (2020). How is COVID-19 reshaping activity-travel behavior? Evidence from a comprehensive survey in Chicago. Transp Res Interdiscip Perspect, 7, 100216.Elsevier. doi: 10.1016/j.trip.2020.100216.
  • Shamshiripour, A., Shabanpour, R., Golshani, N., Mohammadian, A., & Shamshiripour, P. (2020). Analyzing the impact of neighborhood safety on active school travels. International Journal of Sustainable Transportation, 14(10), 788-805.Taylor & Francis. doi: 10.1080/15568318.2019.1628327.
  • Golshani, N., Shabanpour, R., Mohammadian, A., Auld, J., & Ley, H. (2019). Evacuation decision behavior for no-notice emergency events. Transportation Research Part D Transport and Environment, 77, 364-377.Elsevier. doi: 10.1016/j.trd.2019.01.025.
  • Golshani, N., Shabanpour, R., Mohammadian, A., Auld, J., & Ley, H. (2019). Analysis of evacuation destination and departure time choices for no-notice emergency events. Transportmetrica A Transport Science, 15(2), 896-914.Taylor & Francis. doi: 10.1080/23249935.2018.1546778.
  • Rahimi, E., Shamshiripour, A., Shabanpour, R., Mohammadian, A., & Auld, J. (2019). Analysis of transit users’ waiting tolerance in response to unplanned service disruptions. Transportation Research Part D Transport and Environment, 77, 639-653.Elsevier. doi: 10.1016/j.trd.2019.10.011.
  • Shamshiripour, A., Golshani, N., Shabanpour, R., & Mohammadian, A. (2019). Week-Long Mode Choice Behavior: Dynamic Random Effects Logit Model. Transportation Research Record Journal of the Transportation Research Board, 2673(10), 736-744.SAGE Publications. doi: 10.1177/0361198119851746.
  • Golshani, N., Shabanpour, R., Auld, J., & Mohammadian, A. (2018). Activity start time and duration: incorporating regret theory into joint discrete–continuous models. Transportmetrica A Transport Science, 14(9), 809-827.Taylor & Francis. doi: 10.1080/23249935.2018.1440261.
  • Golshani, N., Shabanpour, R., Mahmoudifard, S.M., Derrible, S., & Mohammadian, A. (2018). Modeling travel mode and timing decisions: Comparison of artificial neural networks and copula-based joint model. Travel Behaviour and Society, 10, 21-32.Elsevier. doi: 10.1016/j.tbs.2017.09.003.
  • Jalayer, M., Shabanpour, R., Pour-Rouholamin, M., Golshani, N., & Zhou, H. (2018). Wrong-way driving crashes: A random-parameters ordered probit analysis of injury severity. Accid Anal Prev, 117, 128-135.Elsevier. doi: 10.1016/j.aap.2018.04.019.
  • Mahmoudifard, S.M., Shabanpour, R., Golshani, N., Mohammadian, K., & Mohammadian, A. (2018). Supplier Evaluation Model in Freight Activity Microsimulation Estimator. Transportation Research Record Journal of the Transportation Research Board, 2672(9), 70-80.SAGE Publications. doi: 10.1177/0361198118777084.
  • Shabanpour, R., Golshani, N., Langerudi, M.F., & Mohammadian, A. (2018). Planning in-home activities in the ADAPTS activity-based model: a joint model of activity type and duration. International Journal of Urban Sciences, 22(2), 236-254.Taylor & Francis. doi: 10.1080/12265934.2017.1313707.
  • Shabanpour, R., Golshani, N., Shamshiripour, A., & Mohammadian, A. (2018). Eliciting preferences for adoption of fully automated vehicles using best-worst analysis. Transportation Research Part C Emerging Technologies, 93, 463-478.Elsevier. doi: 10.1016/j.trc.2018.06.014.
  • Shabanpour, R., Golshani, N., Tayarani, M., Auld, J., & Mohammadian, A. (2018). Analysis of telecommuting behavior and impacts on travel demand and the environment. Transportation Research Part D Transport and Environment, 62, 563-576.Elsevier. doi: 10.1016/j.trd.2018.04.003.
  • Shabanpour, R., Javanmardi, M., Fasihozaman, M., Miralinaghi, M., & Mohammadian, A. (2018). Investigating the applicability of ADAPTS activity-based model in air quality analysis. Travel Behaviour and Society, 12, 130-140.Elsevier. doi: 10.1016/j.tbs.2017.02.004.
  • Shabanpour, R., Shamshiripour, A., & Mohammadian, A. (2018). Modeling adoption timing of autonomous vehicles: innovation diffusion approach. Transportation, 45(6), 1607-1621.Springer Nature. doi: 10.1007/s11116-018-9947-7.
  • Langerudi, M.F., Javanmardi, M., Shabanpour, R., Rashidi, T.H., & Mohammadian, A. (2017). Incorporating in-home activities in ADAPTS activity-based framework: A sequential conditional probability approach. Journal of Transport Geography, 61, 48-60.Elsevier. doi: 10.1016/j.jtrangeo.2017.04.010.
  • Miralinaghi, M., Lou, Y., Keskin, B.B., Zarrinmehr, A., & Shabanpour, R. (2017). Refueling station location problem with traffic deviation considering route choice and demand uncertainty. International Journal of Hydrogen Energy, 42(5), 3335-3351.Elsevier. doi: 10.1016/j.ijhydene.2016.12.137.
  • Shabanpour, R., Golshani, N., Auld, J., & Mohammadian, A. (2017). Dynamics of Activity Time-of-Day Choice. Transportation Research Record Journal of the Transportation Research Board, 2665(1), 51-59.SAGE Publications. doi: 10.3141/2665-06.
  • Shabanpour, R., Golshani, N., Derrible, S., Mohammadian, A., & Miralinaghi, M. (2017). Joint Discrete-Continuous Model of Travel Mode and Departure Time Choices. Transportation Research Record Journal of the Transportation Research Board, 2669(1), 41-51.SAGE Publications. doi: 10.3141/2669-05.
  • Javanmardi, M., Fasihozaman Langerudi, M., Shabanpour, R., & Mohammadian, A. (2016). An optimization approach to resolve activity scheduling conflicts in ADAPTS activity-based model. Transportation, 43(6), 1023-1039.Springer Nature. doi: 10.1007/s11116-016-9721-7.
  • Langerudi, M.F., Anbarani, R.S., Javanmardi, M., & Mohammadian, A. (2016). Resolution of Activity Scheduling Conflicts: Reverse Pairwise Comparison of In-Home and Out-of-Home Activities. Transportation Research Record Journal of the Transportation Research Board, 2566(1), 41-54.SAGE Publications. doi: 10.3141/2566-05.
  • Miralinaghi, M., Lou, Y., Hsu, Y., Shabanpour, R., & Shafahi, Y. (2016). Multiclass fuzzy user equilibrium with endogenous membership functions and risk‐taking behaviors. Journal of Advanced Transportation, 50(8), 1716-1734.Wiley. doi: 10.1002/atr.1425.
  • Behroozi, A., & Shabanpour, R. Multilevel graph neural networks for bikeshare demand modeling using station and route features. npj Sustainable Mobility and Transport, 3(1), 41.Springer Nature. doi: 10.1038/s44333-026-00110-7.
  • Nayeri, O., Gorzin, F., & Shabanpour, R. Mapping hazard-access mismatches in wildfire evacuation systems: a multi-facility accessibility framework. npj Natural Hazards.Springer Nature. doi: 10.1038/s44304-026-00239-y.

  • Behroozi, A., & Shabanpour, R. (2026). A graph-based reinforcement learning framework for context-aware bikeshare infrastructure planning. In Transportation Research Board (TRB) Annual Meeting.Washington, DC.
  • GORZIN, F., & Shabanpour, R. (2026). Predicting traffic crash severity in Pennsylvania using hybrid deep learning: A focus on bridges and work zones. In Transportation Research Board (TRB) Annual Meeting.Washington, DC.
  • Komeilian, P., & Shabanpour, R. (2026). Mapping evacuation access for electric vehicles: A route-based accessibility index for hurricane-prone regions. In Transportation Research Board (TRB) Annual Meeting.Washington, DC.
  • Komeilian, P., & Shabanpour, R. (2026). Who feels at risk? Explaining perceived flood risk during hurricane Irma using demographic, spatial, accessibility, and evacuation communication factors. In Transportation Research Board (TRB) Annual Meeting.Washington, DC.