Causal effect of disruptions and policy changes on road, transit, and micro-mobility systems using observational data.
Keywords: non-parametric, causal random forest, synthetic control, difference-in-difference
New methods to fuse cellular signal, transit smart card, and travel survey data to generate synthetic population and its activity plans.
Keywords: deep generative models, cluster-based data fusion, passively-collected data
Developing surrogate models of complex activity-based models to design adaptive pathways for infrastructure interventions under uncertainties.
Keywords: charging infrastructure, uncertainties, reinforcement learning
Marrying deep learning with econometrics to develop interpretable (theory-driven), yet flexible, choice models.
Keywords: deep learning, variational inference, lattice network, interpretability, monotonicity
Joint modelling of lab-based brain and eye movement data of decision makers with large- scale web-based choice data.
Keywords: sequential sampling models, dynamic models, response time
Causal effect of urban designs on the user’s perception of stress and safety by collecting brain data in immersive environment.
Keywords: virtual reality, EEG, controlled environment, objective measures
B. Zhang, Q. Xin, S. Chen, B. Wang, H. Li, Z. Wang, and P. Bansal.
Nature Communications, 16(1) (2025)
Eui-Jin Kim and Prateek Bansal.
Transportation Research Part B: Methodological 183 (2024): 102947.
Khoa D. Vo, Eui-Jin Kim, and Prateek Bansal.
Transportation Research Part B: Methodological 191 (2025): 103128.
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