Revisions Requested (* Equal contribution)

  1. Bansal Prateek, Daniel Hörcher, and Daniel J. Graham. "A dynamic choice model to estimate the user cost of crowding with large-scale transit data." Journal of the Royal Statistical Society: Series A.

  2. Dubey Subodh, Oded Cats, Serge Hoogendoorn, and Prateek Bansal. "A non-compensatory random utility choice model based on Choquet integral." Transportation Research Part B: Methodological.

  3. Krueger Rico, Prateek Bansal, Michel Bierlaire, and Thomas Gasos. "Robust discrete choice models with t-distributed kernel errors. " Transportation Research Part B: Methodological.

  4. Anupriya, Daniel J. Graham, Prateek Bansal, Daniel Hörcher, and Richard Anderson. "Congestion in near capacity metro operations: optimum boardings and alightings at bottleneck stations." Transportation Research Part C: Emerging Technology.

  5. Krueger Rico, Michel Bierlaire, Ricardo A. Daziano, Taha H. Rashidi, and Prateek Bansal. "On the usefulness of mixed logit models with unobserved inter-and intra-individual heterogeneity." Journal of Choice Modelling.

Under Review

  1. Bansal Prateek, Roselinde Kessels, Rico Krueger, and Daniel J Graham. "Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic". [Link]

  2. Dekker Thijs and Prateek Bansal. "A Bayesian perspective on sampling of alternatives." [Link]

  3. Anupriya, Daniel J. Graham, Daniel Hörcher, and Prateek Bansal. "Revisiting the empirical fundamental relationship of traffic flow for highways using a causal econometric approach." [Link]

  4. Gurumurthy Krishna, Zili Li, Kara M. Kockelman, Prateek Bansal. "Modelling animal-vehicle collision counts across large networks using a Bayesian Hierarchical model with time-varying parameters." [Link]