Rico Krueger
Title
Cited by
Cited by
Year
Preferences for shared autonomous vehicles
R Krueger, TH Rashidi, JM Rose
Transportation research part C: emerging technologies 69, 343-355, 2016
5612016
Normative beliefs and modality styles: a latent class and latent variable model of travel behaviour
R Krueger, A Vij, TH Rashidi
Transportation 45 (3), 789-825, 2018
372018
Random taste heterogeneity in discrete choice models: Flexible nonparametric finite mixture distributions
A Vij, R Krueger
Transportation Research Part B: Methodological 106, 76-101, 2017
332017
Autonomous driving and residential location preferences: Evidence from a stated choice survey
R Krueger, TH Rashidi, VV Dixit
Transportation Research Part C: Emerging Technologies 108, 255-268, 2019
202019
Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations
P Bansal, R Krueger, M Bierlaire, RA Daziano, TH Rashidi
Transportation Research Part B: Methodological 131, 124-142, 2020
172020
Adoption of Shared Autonomous Vehicles--A Hybrid Choice Modeling Approach Based on a Stated-Choice Survey
R Krueger, TH Rashidi, JM Rose
Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016
172016
A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles
R Krueger, TH Rashidi, A Vij
Journal of choice modelling 36, 100229, 2020
12*2020
Preferences for travel-based multitasking: Evidence from a survey among public transit users in the Chicago metropolitan area
R Krueger, TH Rashidi, J Auld
Transportation Research Part F: Traffic Psychology and Behaviour 65, 334-343, 2019
112019
Evaluating the predictive abilities of mixed logit models with unobserved inter-and intra-individual heterogeneity
R Krueger, M Bierlaire, RA Daziano, TH Rashidi, P Bansal
7*2021
X vs. Y: an analysis of intergenerational differences in transport mode use among young adults
R Krueger, TH Rashidi, A Vij
Transportation 47 (5), 2203-2231, 2020
62020
Fast Bayesian estimation of spatial count data models
P Bansal, R Krueger, DJ Graham
Computational Statistics & Data Analysis 157, 107152, 2021
32021
A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification
R Krueger, P Bansal, P Buddhavarapu
Accident Analysis & Prevention 144, 2020
32020
Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic
P Bansal, R Kessels, R Krueger, DJ Graham
arXiv preprint arXiv:2107.02394, 2021
12021
Fuel economy valuation and preferences of Indian two-wheeler buyers
P Bansal, R Dua, R Krueger, DJ Graham
Journal of Cleaner Production 294, 126328, 2021
12021
Sampling and discrete choice
M Bierlaire, R Krueger
12020
Activity-based modeling and simulation of epi-demics
CC Balcells, R Krueger, M Bierlaire
2021
Are Consumers Myopic About Future Fuel Costs? Insights from the Indian two-wheeler market
P Bansal, R Dua, R Krueger, D Graham
King Abdullah Petroleum Studies and Research Center Discussion Papers, 2021
2021
Robust discrete choice models with t-distributed kernel errors
R Krueger, P Bansal, M Bierlaire, T Gasos
arXiv preprint arXiv:2009.06383, 2020
2020
Hierarchical Bayesian models for travel demand analysis: theory, inference and applications
R Krueger
2019
P\'olygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models
P Bansal, R Krueger, M Bierlaire, RA Daziano, TH Rashidi
arXiv preprint arXiv:1904.07688, 2019
2019
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Articles 1–20