References

AEP50 Committee on Transportation Demand Forecasting. (2023). Uncertainty. https://www.trbtravelforecasting.org/uncertainty.
Armoogum, J., Madre, J.-L., & Bussiere, Y. (2009). Measuring uncertainty in long-term travel demand forecasting from demographic modelling: Case study of the Paris and Montreal metropolitan areas. IATSS Research, 33(2), 9–20.
Ben-Akiva, M., & Lerman, S. R. (1985). Discrete Choice Analysis: Theory and Applications to Travel Demand. MIT Press. https://www.jstor.org/stable/1391567
Clay, M. J., & Johnston, R. A. (2005). Univariate uncertainty analysis of an integrated land use and transportation model: MEPLAN. Transportation Planning and Technology, 28(3), 149–165.
Duthie, J., Voruganti, A., Kockelman, K., & Waller, S. T. (2010). Highway improvement project rankings due to uncertain model inputs: Application of traditional transportation and land use models. Journal of Urban Planning and Development, 136(4), 294–302.
Flyvbjerg, B., Skamris Holm, M. K., & Buhl, S. L. (2005). How (In)accurate Are Demand Forecasts in Public Works Projects?: The Case of Transportation. Journal of the American Planning Association, 71(2), 131–146. https://doi.org/10.1080/01944360508976688
Helton, J. C., & Davis, F. J. (2003). Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliability Engineering & System Safety, 81(1), 23–69. https://doi.org/10.1016/S0951-8320(03)00058-9
Hoque, J. M., Erhardt, G. D., Schmitt, D., Chen, M., & Wachs, M. (2021). Estimating the uncertainty of traffic forecasts from their historical accuracy. Transportation Research Part A: Policy and Practice, 147, 339–349. https://doi.org/10.1016/j.tra.2021.03.015
Koppelman, F. S., & Bhat, C. (2006). A Self Instructing Course in Mode Choice Modeling: Multinomial and Nested Logit Models. Federal Transit Administration.
Manzo, S., Nielsen, O. A., & Prato, C. G. (2015). How uncertainty in input and parameters influences transport model: Output A four-stage model case-study. Transport Policy, 38, 64–72.
Milkovits, M., Copperman, R. B., Newman, J., Lemp, J., Rossi, T., & United States. Federal Highway Administration. (2019). TMIP Exploratory Modeling and Analysis Tool (TMIP-EMAT) Beta Test Results (FHWA-HEP-20-015).
National Academies of Sciences, Engineering, and Medicine. (2012). Travel Demand Forecasting: Parameters and Techniques (NCHRP 716). National Academies Press. https://doi.org/10.17226/14665
Petrik, O., Adnan, M., Basak, K., & Ben-Akiva, M. (2020). Uncertainty analysis of an activity-based microsimulation model for Singapore. Future Generation Computer Systems, 110, 350–363.
Petrik, O., Moura, F., & Silva, J. de A. e. (2016). Measuring uncertainty in discrete choice travel demand forecasting models. Transportation Planning and Technology, 39(2), 218–237.
Rasouli, S., & Timmermans, H. (2012). Uncertainty in travel demand forecasting models: Literature review and research agenda. Transportation Letters, 4(1), 55–73. https://doi.org/10.3328/TL.2012.04.01.55-73
Rodier, C. J., & Johnston, R. A. (2002). Uncertain socioeconomic projections used in travel demand and emissions models: Could plausible errors result in air quality nonconformity? Transportation Research Part A: Policy and Practice, 36(7), 613–631.
Voulgaris, C. T. (2019). Crystal Balls and Black Boxes: What Makes a Good Forecast? Journal of Planning Literature, 34(3), 286–299. https://doi.org/10.1177/0885412219838495
Welde, M., & Odeck, J. (2011). Do planners get it right? The accuracy of travel demand forecasting in Norway. European Journal of Transport and Infrastructure Research, 11(1).
Wu, H., & Levinson, D. (2021). The ensemble approach to forecasting: A review and synthesis. Transportation Research Part C: Emerging Technologies, 132, 103357. https://doi.org/10.1016/j.trc.2021.103357
Yang, C., Chen, A., Xu, X., & Wong, S. C. (2013). Sensitivity-based uncertainty analysis of a combined travel demand model. Transportation Research Part B: Methodological, 57, 225–244. https://doi.org/10.1016/j.trb.2013.07.006
Zhao, Y., & Kockelman, K. M. (2002). The propagation of uncertainty through travel demand models: An exploratory analysis. The Annals of Regional Science, 36(1), 145–163. https://doi.org/10.1007/s001680200072