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
Vladimir Maksimenko, David Labbe, Alison L. Eldridge, Tsz Ning Mak, Jinghai Huo, Prateek Bansal, and John C. Thoresen.
Food Quality and Preferences 150 (2024): 105250.
Eui-Jin Kim and Prateek Bansal.
Transportation Research Part B: Methodological 183 (2024): 102947.
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Kim, Eui-Jin, and Prateek Bansal.
Transportation Research Part C: Emerging Technologies 148 (2023): 104053.
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