- Alvarez-Daziano, R. ; Bolduc, D. Incorporating pro-environmental preferences towards green automobile technologies through a Bayesian hybrid choice model. 2013 Transportmetrica: Transport. Sci.. 9 74-106
Paper not yet in RePEc: Add citation now
- Batley, R.P. ; Toner, J.P. ; Knight, M.J. A mixed logit model of U.K. household demand for alternative-fuel vehicles. 2004 Int. J. Transp. Econ.. 31 55-77
Paper not yet in RePEc: Add citation now
- Ben-Akiva, M. ; Bierlaire, M. Discrete choice methods and their applications to short term travel decisions. 1999 Handbook of Transportation Science. 23 5-33
Paper not yet in RePEc: Add citation now
- Ben-Akiva, M. ; Walker, J. ; Bernardino, A.T. ; Gopinath, D.A. ; Morikawa, T. ; Polydoropoulou, A. Integration of choice and latent variable models. 2002 En : Perpetual Motion: Travel Behaviour Research Opportunities and Application Challenges. Pergamon: Amsterdam
Paper not yet in RePEc: Add citation now
Bhat, C.R. Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model. 2001 Transp. Res. Part B Methodol.. 35 677-693
Bhat, C.R. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. 2003 Transp. Res. Part B Methodol.. 37 837-855
Bhat, C.R. The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models. 2011 Transp. Res. Part B Methodol.. 45 923-939
Bhat, C.R. ; Dubey, S.K. A new estimation approach to integrate latent psychological constructs in choice modeling. 2014 Transp. Res. Part B Methodol.. 67 68-85
Bhat, C.R. ; Sardesai, R. The impact of stop-making and travel time reliability on commute mode choice. 2006 Transp. Res. Part B Methodol.. 40 709-730
- Bhat, C.R. ; Sidharthan, R. A new approach to specify and estimate non-normally mixed multinomial probit models. 2012 Transp. Res. Part B Methodol.. 46 817-833
Paper not yet in RePEc: Add citation now
Bhatta, B.P. ; Larsen, O.I. Errors in variables in multinomial choice modeling: a simulation study applied to a multinomial logit model of travel mode choice. 2011 Transport Pol.. 18 326-335
- Biswas, M. ; Pinjari, A.R. ; Dubey, S.K. Travel time variability and route choice: an integrated modelling framework. 2019 En : 2019 11th International Conference on Communication Systems & Networks (COMSNETS). IEEE:
Paper not yet in RePEc: Add citation now
Brownstone, D. ; Bunch, D.S. ; Train, K. Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles. 2000 Transp. Res. Part B Methodol.. 34 315-338
Chen, A. ; Zhou, Z. ; Lam, W.H. Modeling stochastic perception error in the mean-excess traffic equilibrium model. 2011 Transp. Res. Part B Methodol.. 45 1619-1640
- Cherchi, E. ; Ortúzar, J. de D. Predicting best with mixed logit models: understanding some confounding effects. 2008 En : Inweldi, P.O. Transportation Research Trends. Nova Science Publishers, Inc.: New York
Paper not yet in RePEc: Add citation now
- Conniffe, D. ; O'Neill, D. . 2008 :
Paper not yet in RePEc: Add citation now
- Daly, A.J. ; Ortúzar, J.D. Forecasting and data aggregation: theory and practice. 1990 Traffic Eng. Control. 31 632-643
Paper not yet in RePEc: Add citation now
- De Palma, A. ; Lindsey, R. ; Picard, N. Congestion, Risk Aversion and the Value of Information. Working Paper 2. 2007 University of Alberta: Edmonton
Paper not yet in RePEc: Add citation now
De Palma, A. ; Lindsey, R. ; Picard, N. Risk aversion, the value of information, and traffic equilibrium. 2012 Transport. Sci.. 46 1-26
Díaz, F. ; Cantillo, V. ; Arellana, J. ; de Dios Ortúzar, J. Accounting for stochastic variables in discrete choice models. 2015 Transp. Res. Part B Methodol.. 78 222-237
Dubey, S. ; Cats, O. ; Hoogendoorn, S. ; Bansal, P. A multinomial probit model with Choquet integral and attribute cut-offs. 2022 Transp. Res. Part B Methodol.. 158 140-163
- Durbin, J. Errors in variables. 1954 Rev. Inst. Int. Stat.. 12 23-32
Paper not yet in RePEc: Add citation now
- Fosgerau, M. ; Fukuda, D. Valuing travel time variability: characteristics of the travel time distribution on an urban road. 2012 Transport. Res. C Emerg. Technol.. 24 83-101
Paper not yet in RePEc: Add citation now
Frejinger, E. ; Bierlaire, M. Capturing correlation with subnetworks in route choice models. 2007 Transp. Res. Part B Methodol.. 41 363-378
- Gleser, L.J. Estimation in a multivariate "errors in variables" regression model: large sample results. 1981 Ann. Stat.. 9 24-44
Paper not yet in RePEc: Add citation now
Greene, W.H. ; Hensher, D.A. A latent class model for discrete choice analysis: contrasts with mixed logit. 2003 Transp. Res. Part B Methodol.. 37 681-698
Heckman, J.J. Sample selection bias as a specification error. 1979 Econometrica. 47 153-161
Heckman, J.J. The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. 1976 Ann. Econ. Soc. Meas.. 5 475-492
Hensher, D.A. ; Greene, W.H. The mixed logit model: the state of practice. 2003 Transportation. 30 133-176
Hess, S. ; Polak, J.W. Mixed logit modelling of airport choice in multi-airport regions. 2005 J. Air Transport. Manag.. 11 59-68
- James, J.Q. Citywide estimation of travel time distributions with Bayesian deep graph learning. 2021 IEEE Trans. Knowl. Data Eng.. 35 2366-2378
Paper not yet in RePEc: Add citation now
Kahneman, D. ; Tversky, A. Prospect theory: an analysis of decisions under risk. 1979 Econometrica. 47 263-291
- Li, Z. ; Hensher, D.A. Prospect theoretic contributions in understanding traveller behaviour: a review and some comments. 2011 Transport Pol.. 31 97-115
Paper not yet in RePEc: Add citation now
- Liu, X. ; Polak, J.W. Nonlinearity and the specification of attitudes towards risk in discrete choice models. 2007 En : Proceedings 86th Annual Meeting of the Transportation Research Board. :
Paper not yet in RePEc: Add citation now
McFadden, D. ; Train, K. Mixed MNL models for discrete response. 2000 J. Appl. Econom.. 15 447-470
Nirmale, S.K. ; Pinjari, A.R. Discrete choice models with multiplicative stochasticity in choice environment variables: application to accommodating perception errors in driver behaviour models. 2023 Transp. Res. Part B Methodol.. 170 169-193
- Ortúzar, J. de D. ; Ivelic, A.M. Effects of using more accurately measured level-of-service variables on the specification and stability of mode choice models. 1987 En : Proceedings 15th PTRC Summer Annual Meeting. University of Bath: England
Paper not yet in RePEc: Add citation now
- Ortúzar, J. de D. ; Willumsen, L.G. Modelling Transport. 2011 John Wiley & Sons:
Paper not yet in RePEc: Add citation now
Patil, P.N. ; Dubey, S.K. ; Pinjari, A.R. ; Cherchi, E. ; Daziano, R. ; Bhat, C.R. Simulation evaluation of emerging estimation techniques for multinomial probit models. 2017 Journal of choice modelling. 23 9-20
- Pinjari, A.R. ; Kamali, M. ; Luong, T. ; Ozkul, S. GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flow. 2015 Florida Department of Transportation:
Paper not yet in RePEc: Add citation now
- Polak, J.W. ; Hess, S. ; Liu, X. Characterizing heterogeneity in attitudes to risk in expected utility models of mode and departure time choice. 2008 En : Proceedings 87th Annual Meeting of the Transportation Research Board. :
Paper not yet in RePEc: Add citation now
- Rahmani, M. ; Jenelius, E. ; Koutsopoulos, H.N. Non-parametric estimation of route travel time distributions from low-frequency floating car data. 2015 Transport. Res. C Emerg. Technol.. 58 343-362
Paper not yet in RePEc: Add citation now
- Rasouli, S. ; Timmermans, H. Applications of theories and models of choice and decision-making under conditions of uncertainty in travel behavior research. 2014 Travel Behaviour and Society. 1 79-90
Paper not yet in RePEc: Add citation now
Revelt, D. ; Train, K. Mixed logit with repeated choices: households' choices of appliance efficiency level. 1998 Rev. Econ. Stat.. 80 647-657
- Rieser-Schüssler, N. ; Balmer, M. ; Axhausen, K.W. Route choice sets for very high-resolution data. 2013 Transportmetrica: Transport. Sci.. 9 825-845
Paper not yet in RePEc: Add citation now
- Rubin, D. Multiple Imputation for Nonresponse in Surveys. 1987 Wiley: New York
Paper not yet in RePEc: Add citation now
Sanko, N. ; Hess, S. ; Dumont, J. ; Daly, A. Contrasting imputation with a latent variable approach to dealing with missing income in choice models. 2014 Journal of Choice Modelling. 12 47-57
- Senbil, M. ; Kitamura, R. Reference points in commuter departure time choice: a prospect theoretic test of alternative decision frames. 2004 Journal of Intelligent Transportation Systems. 8 19-31
Paper not yet in RePEc: Add citation now
Srinivasan, K.K. ; Prakash, A.A. ; Seshadri, R. Finding most reliable paths on networks with correlated and shifted log–normal travel times. 2014 Transp. Res. Part B Methodol.. 66 110-128
- Stefanski, L.A. ; Carroll, R.J. Covariate measurement error in logistic regression. 1985 Ann. Stat.. 13 1335-1351
Paper not yet in RePEc: Add citation now
- Steinmetz, S.S. ; Brownstone, D. Estimating commuters' “value of time” with noisy data: a multiple imputation approach. 2005 Transp. Res. Part B Methodol.. 39 865-889
Paper not yet in RePEc: Add citation now
- Swait, J. Distribution-free estimation of individual parameter logit (IPL) models using combined evolutionary and optimization algorithms. 2022 Journal of Choice Modelling. 47 -
Paper not yet in RePEc: Add citation now
Swait, J.D. ; Bernardino, A. Distinguishing taste variation from error structure in discrete choice data. 2000 Transp. Res. Part B Methodol.. 34 1-15
- Tahlyan, D. ; Luong, T. ; Pinjari, A. ; Ozkul, S. Development and Analysis of Truck Route Choice Data for the Tampa Bay Region Using GPS Data. 2017 Florida Department of Transportation:
Paper not yet in RePEc: Add citation now
- Tahlyan, D. ; Pinjari, A. Performance evaluation of choice set generation algorithms for analyzing truck route choice: insights from spatial aggregation for the breadth first search link elimination (BFS-LE) algorithm. 2020 Transportmetrica: Transport. Sci.. 16 1030-1061
Paper not yet in RePEc: Add citation now
- Thakur, A. ; Pinjari, A.R. ; Zanjani, A.B. ; Short, J. ; Mysore, V. ; Tabatabaee, S.F. Development of algorithms to convert large streams of truck GPS data into truck trips. 2015 Transport. Res. Rec.: J. Transport. Res. Board. 2529 66-73
Paper not yet in RePEc: Add citation now
- Train, K. A validation test of a disaggregate mode choice model. 1978 Transport. Res.. 12 167-174
Paper not yet in RePEc: Add citation now
Train, K.E. Recreation demand models with taste differences over people. 1998 Land Econ.. 74 230-239
Tversky, A. ; Kahneman, D. Advances in prospect theory: cumulative representation of uncertainty. 1992 J. Risk Uncertain.. 5 297-323
Varela, J.M.L. ; Daly, A. ; Börjesson, M. Quantifying errors in travel time and cost by latent variables. 2018 Transportation Research B: Methodological. 117 520-541
Varotto, S.F. ; Glerum, A. ; Stathopoulos, A. ; Bierlaire, M. ; Longo, G. Mitigating the impact of errors in travel time reporting on mode choice modelling. 2017 J. Transport Geogr.. 62 236-246
Vij, A. ; Walker, J.L. How, when and why integrated choice and latent variable models are latently useful. 2016 Transp. Res. Part B Methodol.. 90 192-217
- Von Neumann, J. ; Morgenstern, O. . 1947 Princeton University Press: Princeton, NJ
Paper not yet in RePEc: Add citation now
- Walker, J. ; Li, J. ; Srinivasan, S. ; Bolduc, D. Travel demand models in the developing world: correcting for measurement errors. 2010 Transportation Letters. 2 231-243
Paper not yet in RePEc: Add citation now
- Zhang, K. ; Jia, N. ; Zheng, L. ; Liu, Z. A novel generative adversarial network for estimation of trip travel time distribution with trajectory data. 2019 Transport. Res. C Emerg. Technol.. 108 223-244
Paper not yet in RePEc: Add citation now