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. Bansal Prateek, Rajeev Ranjan Kumar, Alok Raj, Subodh Dubey, and Daniel J. Graham “Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles.” Energy Economics.

  3. Buddhavarapu Prasad*, Prateek Bansal*, and Jorge A. Prozzi. "A new spatial count data model with time-varying parameters." Transportation Research Part B: Methodological.

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

  5. 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.

  6. 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. Dubey Subodh, Oded Cats, Serge Hoogendoorn, and Prateek Bansal. "A Non-Compensatory Random Utility Choice Model based on Choquet Integral."

  2. Kazemzadeh Khashayar and Prateek Bansal. "Electric Bike Level-of-Service: Towards the Integration of Hindrance-based and Microsimulation approaches"

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

  4. 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]

  5. 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]