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Ortelli et al., 2025: Ortelli, N., de Lapparent, M., Varotto, S. F., and Bierlaire, M. (to appear). An integrated ordered logit and latent variable model for accident injury severity and risk-taking behavior, Transportation Research Part A: Policy and Practice 192(104330):. doi:10.1016/j.tra.2024.104330; ISI: Impact factor: 2.354, cited half-life: 7.9; Research theme(s): Transportation research [Accident analysis], Discrete choice [Hybrid logit]; [Bibtex][Google Scholar][Abstract][XML Marc]
Beine et al, forthcoming: Beine, M., Bierlaire, M., and Docquier, F. (to appear). New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration, Journal of Economic Geography (accepted for publication on January 16, 2024); Research theme(s): Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Martin-Baos et al., 2025: Martin-Baos, J., Garcia-Rodenas, R., Rodriguez-Benitez, L., and Bierlaire, M. (2025). Scalable Kernel Logistic Regression with Nyström Approximation: Theoretical Analysis and Application to Discrete Choice Modelling, Neurocomputing 617(7):128975. doi:10.1016/j.neucom.2024.128975; Research theme(s): Discrete choice [Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Rezvany et al.,: Rezvany, N., Kukic, M., and Bierlaire, M. (2024). A review of activity-based disaggregate travel demand models, Findings (accepted for publication) doi:https://doi.org/10.32866/001c.125431; ISI: Impact factor: 0, cited half-life: 0; Research theme(s): Transportation research [Activity based models], Discrete choice [Applications], Literature review; [Bibtex][Google Scholar][Abstract][XML Marc]
Haering et al., 2024: Haering, T., Legault, R., Torres, F., Ljubic, I., and Bierlaire, M. (2024). Exact Algorithms for Continuous Pricing with Advanced Discrete Choice Demand Models, OR Spectrum (accepted for publication) doi:10.1007/s00291-024-00799-3; ISI: Impact factor: 1.4, cited half-life:; Research theme(s): Operations research [Stochastic optimization, Mixed integer programming], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Ortelli et al., 2024: Ortelli, N., de Lapparent, M., and Bierlaire, M. (2024). Resampling Estimation of Discrete Choice Models, Journal of Choice Modelling 50(100467):. doi:10.1016/j.jocm.2023.100467; Research theme(s): Discrete choice [Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Rezvany et al., 2023: Rezvany, N., Bierlaire, M., and Hillel, T. (2023). Simulating intra-household interactions for in- and out-of-home activity scheduling, Transportation Research Part C: Emerging Technologies 157(104362):. doi:10.1016/j.trc.2023.104362; ISI: Impact factor: 1.957, cited half-life: 7.8; Research theme(s): Operations research [Scheduling], Transportation research [Activity based models], Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Krueger et al., 2023: Krueger, R., Bierlaire, M., and Bansal, P. (2023). A data fusion approach for ride-sourcing demand estimation: A discrete choice model with sampling and endogeneity corrections , Transportation Research Part C: Emerging Technologies 152(104180):. doi:10.1016/j.trc.2023.104180; ISI: Impact factor: 1.957, cited half-life: 7.8; Research theme(s): Transportation research [Vehicle sharing systems], Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Krueger et al., 2023: Krueger, R., Bierlaire, M., Gasos, T., and Bansal, P. (2023). Robust discrete choice models with t-distributed kernel errors, Statistics and Computing 33(2):. doi:10.1007/s11222-022-10182-3; ISI: Impact factor: 0, cited half-life: 0; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][XML Marc]
Mastora et al., 2023: Mastora, C., Paschalidis, E., Nikiforiadis, A., and Basbas, S. (2023). Pedestrian Crossings as a Means of Reducing Conflicts between Cyclists and Pedestrians in Shared Spaces, Sustainability 15(12):. doi:https://doi.org/10.3390/su15129377; ISI: Impact factor: 3.889, cited half-life:; Research theme(s): Transportation research [Pedestrians], Discrete choice [Model estimation]; [Bibtex][Google Scholar][XML Marc]
Pougala et al., 2023: Pougala, J., Hillel, T., and Bierlaire, M. (2023). OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions, Transportation Research Part C: Emerging Technologies 155:. doi:10.1016/j.trc.2023.104291; ISI: Impact factor: 1.957, cited half-life: 7.8; Research theme(s): Transportation research [Activity based models], Discrete choice [Model estimation]; [Bibtex][Google Scholar][XML Marc]
Pacheco Panenque et al., 2022: Pacheco, M., Gendron, B., Sharif Azadeh, S., and Bierlaire, M. (2022). A Lagrangian decomposition scheme for choice-based optimization, Computers & Operations Research 148:105985. doi:10.1016/j.cor.2022.105985; ISI: Impact factor: 1.98, cited half-life: 6.4; Research theme(s): Operations research [Mixed integer programming], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Sharif Azadeh et al., 2022: Sharif Azadeh, S., Atasoy, B., Ben-Akiva, M., Bierlaire, M., and Maknoon, Y. (2022). Choice-Driven Dial-A-Ride Problem for Demand Responsive Mobility Service, Transportation Research Part B: Methodological 161:128-149. doi:10.1016/j.trb.2022.04.008; ISI: Impact factor: 2.856, cited half-life: 9.1; Research theme(s): Operations research [Vehicle routing], Discrete choice [Applications]; [Bibtex][Google Scholar][Abstract][XML Marc]
Krueger et al., 2021: Krueger, R., Bierlaire, M., Daziano, R., Rashidi, T., and Bansal, P. (2021). Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity, Journal of Choice Modelling 41:100323. doi:10.1016/j.jocm.2021.100323; Research theme(s): Discrete choice [Mixtures, Model estimation]; [Bibtex][Google Scholar][XML Marc]
Bortolomiol et al., forthcoming: Bortolomiol, S., Lurkin, V., and Bierlaire, M. (2021). Price-based regulation of oligopolistic markets under discrete choice models of demand , Transportation (accepted for publication) doi:https://doi.org/10.1007/s11116-021-10217-0; ISI: Impact factor: 1.023, cited half-life: 8.4; Research theme(s): Operations research [Mixed integer programming, Nonlinear equations and fixed point], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Bortolomiol et al., 2021: Bortolomiol, S., Lurkin, V., and Bierlaire, M. (2021). A simulation-based heuristic to find approximate equilibria with disaggregate demand models, Transportation Science 55(5):1025-1045. doi:https://doi.org/10.1287/trsc.2021.1071; ISI: Impact factor: 1.507, cited half-life: >10; Research theme(s): Operations research [Mixed integer programming, Nonlinear equations and fixed point], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Ortelli et al., 2021: Ortelli, N., Hillel, T., Pereira, F. C., de Lapparent, M., and Bierlaire, M. (2021). Assisted Specification of Discrete Choice Models, Journal of Choice Modelling 39(100285):. doi:10.1016/j.jocm.2021.100285; Research theme(s): Operations research [Heuristics], Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Wong and Farooq, 2021: Wong, M., and Farooq, B. (2021). ResLogit: A residual neural network logit model for data-driven choice modelling, Transportation Research Part C: Emerging Technologies 126:103050. doi:10.1016/j.trc.2021.103050; ISI: Impact factor: 1.957, cited half-life: 7.8; Research theme(s): Discrete choice [Machine learning, Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Pacheco et al., 2021: Pacheco, M., Bierlaire, M., Gendron, B., and Sharif Azadeh, S. (2021). Integrating advanced discrete choice models in mixed integer linear optimization , Transportation Research Part B: Methodological 146:26-49. doi:10.1016/j.trb.2021.02.003; ISI: Impact factor: 2.856, cited half-life: 9.1; Research theme(s): Operations research [Mixed integer programming, Simulation], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Bansal et al., forthcoming: Bansal, P., Dua, R., Krueger, R., and Graham, D. J (2021). Fuel Economy Valuation and Preferences of Indian Two-wheeler Buyers, Journal of Cleaner Production 294:126328. doi:10.1016/j.jclepro.2021.126328; ISI: Impact factor: 2.727, cited half-life: 4.5; Research theme(s): Transportation research [Environmental issues], Discrete choice [Mixtures], Consumer behavior; [Bibtex][Google Scholar][XML Marc]
Lederrey et al., 2021: Lederrey, G., Lurkin, V., Hillel, T., and Bierlaire, M. (2021). Estimation of Discrete Choice Models with Hybrid Stochastic Adaptive Batch Size Algorithms, Journal of Choice Modelling 38(100226):. doi:10.1016/j.jocm.2020.100226; Research theme(s): Discrete choice [Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Hillel et al., 2021: Hillel, T., Bierlaire, M., Elshafie, M. Z E B, and Jin, Y. (2021). A systematic review of machine learning classification methodologies for modelling passenger mode choice, Journal of Choice Modelling 38(100221):. doi:10.1016/j.jocm.2020.100221; Research theme(s): Transportation research [Mode choice], Discrete choice [Machine learning]; [Bibtex][Google Scholar][Abstract][XML Marc]
Rodrigues et al, 2020: Rodrigues, F., Ortelli, N., Bierlaire, M., and Pereira, F. C. (2020). Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models, IEEE Transactions on Intelligent Transportation Systems (accepted for publication) doi:10.1109/TITS.2020.3031965; ISI: Impact factor: 3.452, cited half-life: 4.5; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][XML Marc]
Krueger et al., 2020: Krueger, R., Rashidi, T., and Vij, A. (2020). A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles, Journal of Choice Modelling 36:105623.; Research theme(s): Discrete choice [Model estimation, Model specification]; [Bibtex][Google Scholar][XML Marc]
Bansal et al., 2020: Bansal, P., Krueger, R., Bierlaire, M., Daziano, R., and Rashidi, T. (2020). Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations, Transportation Research Part B: Methodological 131:124-142. doi:10.1016/j.trb.2019.12.001; ISI: Impact factor: 2.856, cited half-life: 9.1; Research theme(s): Discrete choice [Model estimation]; [Bibtex][Google Scholar][XML Marc]
Kazagli et al., 2020: Kazagli, E., Bierlaire, M., and de Lapparent, M. (2020). Operational route choice methodologies for practical applications, Transportation 47:43-74. doi:10.1007/s11116-017-9849-0; ISI: Impact factor: 1.023, cited half-life: 8.4; Published online: 06 January 2018; Research theme(s): Transportation research [Route choice], Discrete choice [Applications]; [Bibtex][Google Scholar][Abstract][XML Marc]
Herring et al., 2019: Herring, J., Lurkin, V., Garrow, L. A., Clarke, J., and Bierlaire, M. (2019). Airline customers’ connection time preferences in domestic U.S. markets, Journal of Air Transport Management 79(101688):. doi:10.1016/j.jairtraman.2019.101688; ISI: Impact factor: 1.084, cited half-life:; Research theme(s): Transportation research [Airlines], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Oyama and Hato, 2019: Oyama, Y., and Hato, E. (2019). Prism-based path set restriction for solving Markovian traffic assignment problem, Transportation Research Part B: Methodological 122:528-546. doi:10.1016/j.trb.2019.02.002; ISI: Impact factor: 2.856, cited half-life: 9.1; Research theme(s): Transportation research [Route choice], Discrete choice [Route choice]; [Bibtex][Google Scholar][Abstract][XML Marc]
Nikolic et al., 2019: Nikolic, M., Bierlaire, M., de Lapparent, M., and Scarinci, R. (2019). Multi-class speed-density relationship for pedestrian traffic, Transportation Science 53(3):642-664. doi:10.1287/trsc.2018.0849; ISI: Impact factor: 1.507, cited half-life: >10; Research theme(s): Transportation research [Pedestrians], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Oyama and Hato, 2018: Oyama, Y., and Hato, E. (2018). Link-based measurement model to estimate route choice parameters in urban pedestrian networks, Transportation Research Part C: Emerging Technologies 93:62-78. doi:10.1016/j.trc.2018.05.013; ISI: Impact factor: 1.957, cited half-life: 7.8; Research theme(s): Transportation research [Route choice, GPS data], Discrete choice [Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Lurkin et al., 2018: Lurkin, V., Garrow, L. A., Higgins, M., Newman, J. P, and Schyns, M. (2018). Modeling Competition among Airline Itineraries, Transportation Research Part A: Policy and Practice 113:157-172.; ISI: Impact factor: 2.354, cited half-life: 7.9; Research theme(s): Transportation research [Airlines], Discrete choice [Applications], Consumer behavior; [Bibtex][Google Scholar][XML Marc]
Robenek et al., 2018: Robenek, T., Sharif Azadeh, S., Maknoon, Y., de Lapparent, M., and Bierlaire, M. (2018). Train Timetable Design Under Elastic Passenger Demand, Transportation Research Part B: Methodological 111:19-38. doi:10.1016/j.trb.2018.03.002; ISI: Impact factor: 2.856, cited half-life: 9.1; Research theme(s): Operations research [Heuristics], Transportation research [Rail], Discrete choice [Applications]; [Bibtex][Google Scholar][XML Marc]
Fernandez-Antolin et al., 2018: Fernandez-Antolin, A., de Lapparent, M., and Bierlaire, M. (2018). Modeling purchases of new cars: an analysis of the 2014 French market, Theory and Decision 84(2):277-303. doi:10.1007/s11238-017-9631-y; ISI: Impact factor: 0.606, cited half-life: 0; Research theme(s): Discrete choice [Model estimation, Model specification]; [Bibtex][Google Scholar][XML Marc]
Newman et al., 2017: Newman, J. P, Lurkin, V., and Garrow, L. A. (2017). Computational Methods for Estimating Multinomial, Nested, and Cross-Nested Logit Models that Account for Semi-Aggregate Data, Journal of Choice Modelling 26:28-40.; Research theme(s): Discrete choice [Model estimation]; [Bibtex][Google Scholar][XML Marc]
Oyama and Hato, 2017: Oyama, Y., and Hato, E. (2017). A discounted recursive logit model for dynamic gridlock network analysis, Transportation Research Part C: Emerging Technologies 85:509-527. doi:10.1016/j.trc.2017.10.001; ISI: Impact factor: 1.957, cited half-life: 7.8; Research theme(s): Transportation research [Route choice, GPS data], Discrete choice [Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Binder et al., 2017a: Binder, S., Maknoon, Y., and Bierlaire, M. (2017). Exogenous priority rules for the capacitated passenger assignment problem, Transportation Research Part B: Methodological 105:19-42. doi:10.1016/j.trb.2017.08.022; ISI: Impact factor: 2.856, cited half-life: 9.1; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Scarinci et al., 2017: Scarinci, R., Hegyi, A., and Heydecker, B. G (2017). Definition of a Merging Assistant Strategy Using Intelligent Vehicles, Transportation Research Part C: Emerging Technologies 82:161–179. doi:10.1016/j.trc.2017.06.017; ISI: Impact factor: 1.957, cited half-life: 7.8; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Varotto et al, 2017: Varotto, S. F., Glerum, A., Stathopoulos, A., Bierlaire, M., and Longo, G. (2017). Mitigating the impact of errors in travel time reporting on mode choice modelling, Journal of Transport Geography 62:236-246. doi:10.1016/j.jtrangeo.2017.05.016; ISI: Impact factor: 2.09, cited half-life:; Research theme(s): Transportation research [Mode choice], Discrete choice [Model specification]; [Bibtex][Google Scholar][XML Marc]
Lurkin et al., 2017: Lurkin, V., Garrow, L. A., Higgins, M., Newman, J. P, and Schyns, M. (2017). Accounting for Price Endogeneity in Airline Itinerary Choice Models: An Application to Continental U.S. Markets, Transportation Research Part A: Policy and Practice 100:228-246. doi:10.1016/j.tra.2017.04.007; ISI: Impact factor: 2.354, cited half-life: 7.9; Research theme(s): Transportation research [Airlines], Discrete choice [Applications], Consumer behavior; [Bibtex][Google Scholar][XML Marc]
Binder et al., 2017: Binder, S., Maknoon, Y., and Bierlaire, M. (2017). The multi-objective railway timetable rescheduling problem, Transportation Research Part C: Emerging Technologies 78:78-94. doi:10.1016/j.trc.2017.02.001; ISI: Impact factor: 1.957, cited half-life: 7.8; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Fernandez-Antolin et al., 2016: Fernandez-Antolin, A., Guevara-Cue, A., de Lapparent, M., and Bierlaire, M. (2016). Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data, Journal of Choice Modelling 20:1-15. doi:10.1016/j.jocm.2016.09.001; Research theme(s): Discrete choice [Model specification, Model estimation]; [Bibtex][Google Scholar][XML Marc]
Lapparent and Koning, 2016: de Lapparent, M., and Koning, M. (2016). Analyzing time sensitivity in the Paris subway: an interval data model approach, Transportation 43(5):913-933. doi:10.1007/s11116-015-9629-7; ISI: Impact factor: 1.023, cited half-life: 8.4; Research theme(s): Transportation research [Public transportation], Discrete choice [Stated preferences], Consumer behavior; [Bibtex][Google Scholar][Abstract][XML Marc]
Kazagli et al., 2016: Kazagli, E., Bierlaire, M., and Flötteröd, G. (2016). Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations, Journal of Choice Modelling 19:1-23. doi:10.1016/j.jocm.2016.06.001; Research theme(s): Transportation research [Route choice, GPS data], Discrete choice [Route choice, Model specification]; [Bibtex][Google Scholar][XML Marc]
Danalet et al., 2016: Danalet, A., Tinguely, L., de Lapparent, M., and Bierlaire, M. (2016). Location choice with longitudinal WiFi data, Journal of Choice Modelling 18:1-17. doi:10.1016/j.jocm.2016.04.003; Research theme(s): Transportation research [Pedestrians], Discrete choice [Model estimation, Model specification], Consumer behavior, Other; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Lai and Bierlaire, 2015: Lai, X., and Bierlaire, M. (2015). Specification of the cross-nested logit model with sampling of alternatives for route choice models, Transportation Research Part B: Methodological 80:220-234. doi:10.1016/j.trb.2015.07.005; ISI: Impact factor: 2.856, cited half-life: 9.1; Research theme(s): Discrete choice [Multivariate Extreme Value models (or GEV), Route choice]; [Bibtex][Google Scholar][Abstract][XML Marc]
Sharif et al., 2015: Sharif Azadeh, S., Hosseinalifam, M., and Savard, G. (2015). The impact of customer behavior models on revenue management systems, Computational Management Science 12(1):99-109. doi:10.1007/s10287-014-0204-z; ISI: Impact factor: 0, cited half-life: 0; No research theme specified; [Bibtex][Google Scholar][Abstract][XML Marc]
Cernicchiaro and Lapparent, 2015: Cernicchiaro, G., and de Lapparent, M. (2015). A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles, Computational Economics 46:15-34. doi:10.1007/s10614-014-9449-4; ISI: Impact factor: 0.521, cited half-life:; Research theme(s): Discrete choice [Model specification, Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Sharif et al. 2015: Sharif Azadeh, S., Marcotte, P., and Savard, G. (2015). A Non-Parametric Approach to Demand Forecasting in Revenue Management, Computers & Operations Research 12(1):99-109. doi:10.1007/s10287-014-0204-z; ISI: Impact factor: 1.98, cited half-life: 6.4; No research theme specified; [Bibtex][Google Scholar][Abstract][XML Marc]
Scarinci et al., 2015: Scarinci, R., Heydecker, B. G, and Hegyi, A. (2015). Analysis of Traffic Performance of a Merging Assistant Strategy Using Cooperative Vehicles, IEEE Transactions on Intelligent Transportation Systems 16(4):2094-2103. doi:10.1109/TITS.2015.2394772; ISI: Impact factor: 3.452, cited half-life: 4.5; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Hänseler et al., 2014: Hänseler, F., Bierlaire, M., Farooq, B., and Mühlematter, T. (2014). A macroscopic loading model for time-varying pedestrian flows in public walking areas, Transportation Research Part B: Methodological 69:60 -- 80. doi:10.1016/j.trb.2014.08.003; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked 11 in the TOP 25 hottest articles of Transportation Research Part B for October-December 2014; Research theme(s): Operations research [Simulation], Transportation research [Pedestrians, Public transportation], Discrete choice [Route choice, Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Hurtubia et al., 2014: Hurtubia, R., Nguyen, M., Glerum, A., and Bierlaire, M. (2014). Integrating psychometric indicators in latent class choice models, Transportation Research Part A: Policy and Practice 64:135-146. doi:10.1016/j.tra.2014.03.010; ISI: Impact factor: 2.354, cited half-life: 7.9; Research theme(s): Transportation research [Mode choice, Public transportation], Discrete choice [Model specification, Model estimation]; [Bibtex][Google Scholar][XML Marc]
Hess & Stathopoulos 2014: Hess, S., and Stathopoulos, A. (2014). A mixed random utility — Random regret model linking the choice of decision rule to latent character traits, Journal of Choice Modelling (accepted for publication) doi:10.1016/j.jocm.2013.12.005; Research theme(s): Transportation research [Public transportation], Discrete choice [Mixtures]; [Bibtex][Google Scholar][XML Marc]
Glerum et al., 2014: Glerum, A., Atasoy, B., and Bierlaire, M. (2014). Using semi-open questions to integrate perceptions in choice models, Journal of Choice Modelling 10:11-33. doi:10.1016/j.jocm.2013.12.001; Research theme(s): Transportation research [Mode choice, Public transportation], Discrete choice [Model specification, Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Hurtubia and Bierlaire, 2014: Hurtubia, R., and Bierlaire, M. (2014). Estimation of bid functions for location choice and price modeling with a latent variable approach, Networks and Spatial Economics 14(1):47-65. doi:10.1007/s11067-013-9200-z; ISI: Impact factor: 1.226, cited half-life: 6; Research theme(s): Transportation research [Land use and Transportation], Discrete choice [Hybrid logit]; [Bibtex][Google Scholar][Abstract][XML Marc]
Glerum et al., 2014: Glerum, A., Stankovikj, L., Thémans, M., and Bierlaire, M. (2014). Forecasting the demand for electric vehicles: accounting for attitudes and perceptions, Transportation Science 48(4):483-499. doi:10.1287/trsc.2013.0487; ISI: Impact factor: 1.507, cited half-life: >10; Research theme(s): Discrete choice [Model specification, Stated preferences], Consumer behavior; [Bibtex][Google Scholar][Abstract][XML Marc]
Stathopoulos and Marcucci, 2014: Stathopoulos, A., and Marcucci, E. (2014). De Gustibus Disputandum Est: Non-Linearity in Public Transportation Service Quality Evaluation , International Journal of Sustainable Transportation 8(1):47-68. doi:10.1080/15568318.2012.758523; ISI: Impact factor: 0.951, cited half-life: 0; Research theme(s): Discrete choice [Stated preferences], Consumer behavior; [Bibtex][Google Scholar][XML Marc]
Sharif et al. 2014: Sharif Azadeh, S., Marcotte, P., and Savard, G. (2014). A taxonomy of demand uncensoring methods in revenue management, Journal of Revenue & Pricing Management 13:440-456. doi:10.1057/rpm.2014.8; No research theme specified; [Bibtex][Google Scholar][Abstract][XML Marc]
Scarinci and Heydecker, 2014: Scarinci, R., and Heydecker, B. G (2014). Control concepts for facilitating motorway on-ramp merging using intelligent vehicles, Transport Reviews 34(6):775-797. doi:10.1080/01441647.2014.983210; ISI: Impact factor: 3.188, cited half-life: 0; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Fosgerau et al., 2013: Fosgerau, M., McFadden, D., and Bierlaire, M. (2013). Choice Probability Generating Functions, Journal of Choice Modelling 8:1-18. doi:10.1016/j.jocm.2013.05.002; Research theme(s): Discrete choice [Multivariate Extreme Value models (or GEV)]; [Bibtex][Google Scholar][XML Marc]
Efthymiou and Antoniou 2013: Efthymiou, D., and Antoniou, C. (2013). How do Transport Infrastructure and Policies Affect House Prices and Rents? Evidence from Athens, Greece, Transportation Research Part A: Policy and Practice 52:1-22. doi:10.1016/j.tra.2013.04.002; ISI: Impact factor: 2.354, cited half-life: 7.9; Research theme(s): Transportation research [Land use and Transportation, Public transportation], Discrete choice [Model estimation, Model specification], Other; [Bibtex][Google Scholar][XML Marc]
Börjesson et al., 2013: Börjesson, M., Cherchi, E., and Bierlaire, M. (2013). Within Individual Variation in Preferences: Equity Effects of Congestion Charges, Transportation Research Record 2382:92-101. doi:10.3141/2382-11; ISI: Impact factor: 0.471, cited half-life: 9.5; Research theme(s): Transportation research [Value of time], Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Atasoy et al. 2013: Atasoy, B., Salani, M., Bierlaire, M., and Leonardi, C. (2013). Impact analysis of a flexible air transportation system, European Journal of Transport and Infrastructure Research 13(2):123-146. doi:10.18757/ejtir.2013.13.2.2993; ISI: Impact factor: 0, cited half-life: 0; Research theme(s): Operations research [Scheduling], Transportation research [Airlines, Intelligent Transportation Systems], Discrete choice [Model estimation, Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Hess et al, 2013: Hess, S., Stathopoulos, A., Campbell, D., O'Neill, V., and Caussade, S. (2013). It’s not that I don’t care, I just don’t care very much: confounding between attribute non-attendance and taste heterogeneity, Transportation 40(3):583-607. doi:10.1007/s11116-012-9438-1; ISI: Impact factor: 1.023, cited half-life: 8.4; Research theme(s): Discrete choice [Stated preferences, Model estimation]; [Bibtex][Google Scholar][XML Marc]
Chorus and Bierlaire, 2013: Chorus, C., and Bierlaire, M. (2013). An empirical comparison of travel choice models that capture preferences for compromise alternatives, Transportation 40(3):549-562. doi:10.1007/s11116-012-9444-3; ISI: Impact factor: 1.023, cited half-life: 8.4; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][XML Marc]
Farooq et al., 2013b: Farooq, B., Miller, E. J., and Haider, M. (2013). A Multidimensional Decisions Modelling Framework for Built Space Supply, Journal of Transport and Land Use 6(3):. doi:10.5198/jtlu.v6i3.350; No research theme specified; [Bibtex][Google Scholar][Abstract][XML Marc]
Atasoy et al., 2013: Atasoy, B., Glerum, A., and Bierlaire, M. (2013). Attitudes towards mode choice in Switzerland, disP - The Planning Review 49(2):101-117. doi:10.1080/02513625.2013.827518; Research theme(s): Transportation research [Mode choice], Discrete choice [Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Hess & Stathopoulos 2013: Hess, S., and Stathopoulos, A. (2013). Linking response quality to survey engagement: A combined random scale and latent variable approach, Journal of Choice Modelling 7:1-12. doi:10.1016/j.jocm.2013.03.005; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Sharif et al. 2013: Sharif Azadeh, S., Labib, R., and Savard, G. (2013). Railway demand forecasting in revenue management using neural networks, International Journal of Revenue Management 7(1):18-36. doi:10.1504/IJRM.2013.053358; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Bergantino et al., 2013: Bergantino, A., Bierlaire, M., Catalano, M., Migliore, M., and Amoroso, S. (2013). Taste heterogeneity and latent preferences in the choice behaviour of freight transport operators, Transport Policy 30:77-91. doi:10.1016/j.tranpol.2013.08.002; ISI: Impact factor: 1.719, cited half-life:; Research theme(s): Transportation research [Freight and logistics], Discrete choice [Hybrid logit]; [Bibtex][Google Scholar][XML Marc]
Efthymiou et al., 2013: Efthymiou, D., Antoniou, C., and Waddell, P. (2013). Factors affecting the adoption of vehicle sharing systems by young drivers, Transport Policy 29:64–73. doi:10.1016/j.tranpol.2013.04.009; ISI: Impact factor: 1.719, cited half-life:; Research theme(s): Transportation research [Public transportation], Discrete choice [Model estimation, Stated preferences]; [Bibtex][Google Scholar][Abstract][XML Marc]
Bierlaire and Osorio, 2013: Bierlaire, M., and Osorio, C. (2013). Selected papers from the seventh Triennial Symposium on Transportation Analysis (TRISTAN VII), Transportation Research Part C: Emerging Technologies 27:59.; ISI: Impact factor: 1.957, cited half-life: 7.8; Editorial of the special issue; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Stathopoulos & Hess 2012: Stathopoulos, A., and Hess, S. (2012). Revisiting reference point formation, gains-losses asymmetry and non-linear sensitivities with an emphasis on attribute specific treatment, Transportation Research Part A: Policy and Practice 46(10):1673-1689. doi:10.1016/j.tra.2012.08.005; ISI: Impact factor: 2.354, cited half-life: 7.9; Research theme(s): Discrete choice [Model specification, Stated preferences]; [Bibtex][Google Scholar][XML Marc]
Lee et al., 2012: Lee, M., Khelifa, A., Garrow, L. A., Bierlaire, M., and Post, D. (2012). An analysis of destination choice for opaque airline products using multidimensional binary logit models , Transportation Research Part A: Policy and Practice 46:1641-1653. doi:10.1016/j.tra.2012.08.009; ISI: Impact factor: 2.354, cited half-life: 7.9; Research theme(s): Transportation research [Airlines], Discrete choice [Model specification]; [Bibtex][Google Scholar][XML Marc]
Robin and Bierlaire, 2012: Robin, T., and Bierlaire, M. (2012). Modeling the behavior of investors, Journal of Choice Modelling 5(2):. doi:10.1016/S1755-5345(13)70054-X; Research theme(s): Discrete choice [Model specification, Hybrid logit], Other; [Bibtex][Google Scholar][Abstract][XML Marc]
Abou-Zeid et al., 2012: Abou-Zeid, M., Witter, R., Bierlaire, M., Kaufmann, V., and Ben-Akiva, M. (2012). Happiness and Travel Mode Switching: Findings from a Swiss Public Transportation Experiment, Transport Policy 19(1):93-104. doi:10.1016/j.tranpol.2011.09.009; ISI: Impact factor: 1.719, cited half-life:; Research theme(s): Transportation research [Mode choice], Discrete choice [Model specification, Hybrid logit]; [Bibtex][Google Scholar][XML Marc]
Flötteröd et al., 2012: Flötteröd, G., Chen, Y., and Nagel, K. (2012). Behavioral calibration and analysis of a large-scale travel microsimulation, Networks and Spatial Economics 12(4):481-502. doi:10.1007/s11067-011-9164-9; ISI: Impact factor: 1.226, cited half-life: 6; Research theme(s): Transportation research [Origin-destination matrices, Dynamic Traffic Assignment], Discrete choice [Route choice]; [Bibtex][Google Scholar][Abstract][XML Marc]
Atasoy, Gullu and Tan 2012: Atasoy, B., Gullu, R., and Tan, T. (2012). Optimal inventory policies with non-stationary supply disruptions and advance supply information, Decision Support Systems 53(2):269-281. doi:10.1016/j.dss.2012.01.005; ISI: Impact factor: 1.687, cited half-life: 5.7; No research theme specified; [Bibtex][Google Scholar][Abstract][XML Marc]
Marcucci & Stathopoulos 2012: Marcucci, E., and Stathopoulos, A. (2012). Multi-level governance and transport policy: the case of local roads in Italy, International journal of transport economics 39(1):15-38.; ISI: Impact factor: 0.345, cited half-life: 0; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Robin et al., 2011: Robin, T., Bierlaire, M., and Cruz, J. (2011). Dynamic facial expression recognition with a discrete choice model, Journal of Choice Modelling 4(2):95-148. doi:10.1016/S1755-5345(13)70059-9; Research theme(s): Discrete choice [Model specification], Computer vision; [Bibtex][Google Scholar][Abstract][XML Marc]
Flötteröd, et al., 2011: Flötteröd, G., Bierlaire, M., and Nagel, K. (2011). Bayesian demand calibration for dynamic traffic simulations, Transportation Science 45(4):541-561. doi:10.1287/trsc.1100.0367; ISI: Impact factor: 1.507, cited half-life: >10; Research theme(s): Transportation research [Dynamic Traffic Assignment, Origin-destination matrices], Discrete choice [Route choice, Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Newman and Bernardin, 2010: Newman, J. P, and Bernardin, V. (2010). Hierarchical ordering of nests in a joint mode and destination choice model, Transportation 37(4):677-688. doi:10.1007/s11116-010-9277-x; ISI: Impact factor: 1.023, cited half-life: 8.4; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Bierlaire et al., 2010: Bierlaire, M., Hurtubia, R., and Flötteröd, G. (2010). An analysis of the implicit choice set generation using the Constrained Multinomial Logit model, Transportation Research Record 2175:92-97. doi:10.3141/2175-11; ISI: Impact factor: 0.471, cited half-life: 9.5; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Sorci et al., 2010: Sorci, M., Antonini, G., Cruz, J., Robin, T., Bierlaire, M., and Thiran, J. (2010). Modelling human perception of static facial expressions, Image and Vision Computing 28(5):790-806. doi:10.1016/j.imavis.2009.10.003; ISI: Impact factor: 1.474, cited half-life: 6.7; Research theme(s): Discrete choice [Model specification], Image analysis, Computer vision; [Bibtex][Google Scholar][Abstract][XML Marc]
Gao et al., 2009: Gao, S., Frejinger, E., and Ben-Akiva, M. (2010). Adaptive Route Choices in Risky Traffic Networks: A Prospect Theory Approach, Transportation Research Part C: Emerging Technologies 18(5):727-740. doi:10.1016/j.trc.2009.08.001; ISI: Impact factor: 1.957, cited half-life: 7.8; Research theme(s): Transportation research [Route choice], Discrete choice [Route choice, Model specification]; [Bibtex][Google Scholar][XML Marc]
Frejinger et al., 2009: Frejinger, E., Bierlaire, M., and Ben-Akiva, M. (2009). Sampling of Alternatives for Route Choice Modeling, Transportation Research Part B: Methodological 43(10):984-994. doi:10.1016/j.trb.2009.03.001; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked 1st in the TOP 25 hottest articles of Transportation Research Part B for July-September 2009; Research theme(s): Transportation research [Route choice], Discrete choice [Route choice, Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Bierlaire and Salani, 2009: Bierlaire, M., and Salani, M. (2009). Selected papers from the Triennial symposium on transportation analysis (TRISTAN), Phuket, Thailand, June 11–15, 2007, Special Issue of Transportation Research Part C , Transportation Research Part C: Emerging Technologies 17(2):105. doi:10.1016/j.trc.2008.12.001; ISI: Impact factor: 1.957, cited half-life: 7.8; Editorial of the special issue edited by Bierlaire and Salani. Not a research paper.; No research theme specified; [Bibtex][Google Scholar][XML Marc]
Fosgerau and Bierlaire, 2009: Fosgerau, M., and Bierlaire, M. (2009). Discrete choice models with multiplicative error terms, Transportation Research Part B: Methodological 43(5):494-505. doi:10.1016/j.trb.2008.10.004; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked 9th in the TOP 25 hottest articles of Transportation Research Part B for January-March 2009; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Martinez et al., 2009: Martinez, F., Aguila, F., and Hurtubia, R. (2009). The Constrained Multinomial Logit Model: A Semi-Compensatory Choice Model, Transportation Research Part B: Methodological 43(3):365-377. doi:10.1016/j.trb.2008.06.006; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked third in the TOP 25 hottest articles of Transportation Research Part B for January-March 2009; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][XML Marc]
Robin et al., 2009: Robin, T., Antonini, G., Bierlaire, M., and Cruz, J. (2009). Specification, estimation and validation of a pedestrian walking behavior model, Transportation Research Part B: Methodological 43(1):36-56. doi:10.1016/j.trb.2008.06.010; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked first in the TOP 25 hottest articles of Transportation Research Part B for October-December 2008 as well as for January-March 2009; Research theme(s): Transportation research [Pedestrians], Discrete choice [Model specification]; [Bibtex][Google Scholar][Abstract][XML Marc]
Newman, 2008: Newman, J. P (2008). Normalization of network generalized extreme value models, Transportation Research Part B: Methodological 42(10):958-969. doi:10.1016/j.trb.2008.04.001; ISI: Impact factor: 2.856, cited half-life: 9.1; Research theme(s): Discrete choice [Multivariate Extreme Value models (or GEV)]; [Bibtex][Google Scholar][Abstract][XML Marc]
Gao et al, 2008: Gao, S., Frejinger, E., and Ben-Akiva, M. (2008). Adaptive Route Choice Models in Stochastic Time-Dependent Networks, Transportation Research Record 2085:136-143. doi:10.3141/2085-15; ISI: Impact factor: 0.471, cited half-life: 9.5; Research theme(s): Transportation research [Route choice], Discrete choice [Model specification, Route choice]; [Bibtex][Google Scholar][XML Marc]
Bierlaire et al., 2008: Bierlaire, M., Bolduc, D., and McFadden, D. (2008). The estimation of Generalized Extreme Value models from choice-based samples, Transportation Research Part B: Methodological 42(4):381-394. doi:10.1016/j.trb.2007.09.003; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked 4 in the TOP 25 hottest articles of Transportation Research Part B for January-March 2008; Research theme(s): Discrete choice [Multivariate Extreme Value models (or GEV), Model estimation]; [Bibtex][Google Scholar][Abstract][XML Marc]
Bierlaire and Frejinger, 2008: Bierlaire, M., and Frejinger, E. (2008). Route choice modeling with network-free data, Transportation Research Part C: Emerging Technologies 16(2):187-198. doi:10.1016/j.trc.2007.07.007; ISI: Impact factor: 1.957, cited half-life: 7.8; Ranked 2 in the TOP 25 hottest articles of Transportation Research Part C for January-March 2008; Research theme(s): Transportation research [Route choice, GPS data], Discrete choice [Route choice]; [Bibtex][Google Scholar][Abstract][XML Marc]
Hess et al, 2007: Hess, S., Bierlaire, M., and Polak, J. (2007). A systematic comparison of continuous and discrete mixture models, European Transport 37:35-61.; Research theme(s): Discrete choice [Mixtures]; [Bibtex][Google Scholar][XML Marc]
Bogers et al., 2007: Bogers, E., Bierlaire, M., and Hoogendoorn, S. (2007). Modeling Learning in Route Choice, Transportation Research Record 2014:1-8. doi:10.3141/2014-01; ISI: Impact factor: 0.471, cited half-life: 9.5; Research theme(s): Transportation research [Route choice], Discrete choice [Route choice]; [Bibtex][Google Scholar][XML Marc]
Patterson et al.: Patterson, Z., Ewing, G., and Haider, M. (2007). Shipper Mistrust of Rail Use: First Stated Preference Carrier Choice Survey for the Quebec City - Windsor Corridor, Transportation Research Record 2008:67-74. doi:10.3141/2008-09; ISI: Impact factor: 0.471, cited half-life: 9.5; Research theme(s): Transportation research [Freight and logistics], Discrete choice [Stated preferences]; [Bibtex][Google Scholar][Abstract][XML Marc]
Abbe et al., 2007: Abbe, E., Bierlaire, M., and Toledo, T. (2007). Normalization and correlation of cross-nested logit models, Transportation Research Part B: Methodological 41(7):795-808. doi:10.1016/j.trb.2006.11.006; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked 5 in the TOP 25 hottest articles of Transportation Research Part B for April-June 2007; Research theme(s): Transportation research [Route choice], Discrete choice [Multivariate Extreme Value models (or GEV)]; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Fosgerau and Bierlaire, 2007: Fosgerau, M., and Bierlaire, M. (2007). A practical test for the choice of mixing distribution in discrete choice models, Transportation Research Part B: Methodological 41(7):784-794. doi:10.1016/j.trb.2007.01.002; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked 13 in the TOP 25 hottest articles of Transportation Research Part B for April-June 2007; Research theme(s): Discrete choice [Testing, Mixtures]; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Frejinger and Bierlaire, 2007: Frejinger, E., and Bierlaire, M. (2007). Capturing correlation with subnetworks in route choice models, Transportation Research Part B: Methodological 41(3):363-378. doi:10.1016/j.trb.2006.06.003; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked 13 in the TOP 25 hottest articles of Transportation Research Part B for July-September 2007; Research theme(s): Transportation research [Route choice, GPS data], Discrete choice [Route choice, Mixtures]; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Bierlaire, 2006: Bierlaire, M. (2006). A theoretical analysis of the cross-nested logit model, Annals of Operations Research 144(1):287-300. doi:10.1007/s10479-006-0015-x; ISI: Impact factor: 0.544, cited half-life: 9.2; Research theme(s): Discrete choice [Multivariate Extreme Value models (or GEV)]; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Bierlaire et al., 2006: Bierlaire, M., Thémans, M., and Axhausen, K. (2006). Analysis of driver's response to real-time information in Switzerland, European Transport 34:21-41.; Research theme(s): Transportation research [Intelligent Transportation Systems], Discrete choice [Model specification, Mixtures]; [Bibtex][Google Scholar][XML Marc][Infoscience]
Antonini et al., 2006: Antonini, G., Bierlaire, M., and Weber, M. (2006). Discrete choice models of pedestrian walking behavior, Transportation Research Part B: Methodological 40(8):667-687. doi:10.1016/j.trb.2005.09.006; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked first in the TOP 25 hottest articles of Transportation Research Part B for April-June 2006; Research theme(s): Transportation research [Pedestrians], Discrete choice [Multivariate Extreme Value models (or GEV)]; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Daly and Bierlaire, 2006: Daly, A., and Bierlaire, M. (2006). A General and Operational Representation of Generalised Extreme Value Models, Transportation Research Part B: Methodological 40(4):285-305. doi:10.1016/j.trb.2005.03.003; ISI: Impact factor: 2.856, cited half-life: 9.1; Ranked third in the TOP 25 hottest articles of Transportation Research Part B for January-March 2006; Research theme(s): Discrete choice [Multivariate Extreme Value models (or GEV)]; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Patterson et al. 2005: Patterson, Z., Ewing, G., and Haider, M. (2005). A Gender-based Analysis of Work Trip Mode Choice of Suburban Montreal Commuters Using Stated Preference Data, Transportation Research Record 1924:85-93. doi:10.3141/1924-11; ISI: Impact factor: 0.471, cited half-life: 9.5; Research theme(s): Transportation research [Mode choice], Discrete choice [Stated preferences]; [Bibtex][Google Scholar][Abstract][XML Marc]
Ben-Akiva et al., 2002: Ben-Akiva, M., McFadden, D., Train, K., Walker, J., Bhat, C., Bierlaire, M., Bolduc, D., Boersch-Supan, A., Brownstone, D., Bunch, D., Daly, A., de Palma, A., Gopinath, D., Karlstrom, A., and Munizaga, M. A. (2002). Hybrid choice models: Progress and challenges, Marketing Letters 13(3):163-175. doi:10.1023/A:1020254301302; Research theme(s): Discrete choice [Hybrid logit]; [Bibtex][Google Scholar][Abstract][XML Marc][Infoscience]
Dellaert et al., 1998: Dellaert, B., Arentze, T., Bierlaire, M., Borgers, A., and Timmermans, H. (1998). Investigating consumers' tendency to combine multiple shopping purposes and destinations, Journal of Marketing Research 35(2):177-188. doi:10.2307/3151846; Research theme(s): Discrete choice [Multivariate Extreme Value models (or GEV)], Consumer behavior; [Bibtex][Google Scholar][XML Marc][Infoscience]
Bierlaire et al., 1997: Bierlaire, M., Lotan, T., and Toint, P. L. (1997). On the overspecification of multinomial and nested logit models due to alternative specific constants, Transportation Science 31(4):363-371. doi:10.1287/trsc.31.4.363; ISI: Impact factor: 1.507, cited half-life: >10; Research theme(s): Discrete choice [Model specification]; [Bibtex][Google Scholar][XML Marc][Infoscience]

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