Behavioural Modelling Online Course – Resources

choice modelling

Thanks to everyone who joined this 3 week online Behavioral Choice Modelling course. It was a great success and a special thanks to Michiel and Stephane for presenting such terrific content.

Below is a collection of online resources discussed or referenced or otherwise asked for during the online course:

Software Used in the Course

Choice Modelling Publications

  • Designing and Conducting Stated Choice Experiments Michiel C. J. Bliemer , John M. Rose

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Academic Publications

  • Hess, S., C. F. Choudhury, M. C .J. Bliemer, and D. Hibberd (2020) Modelling lane changing behaviour in approaches to road networks: contrasting and combining driving simulator data with stated choice data. Transportation Research Part C, Vol. 112, pp. 282-294. [link]
  • De Bekker-Grob, E. W., B. Donkers, M. C. J. Bliemer, J. Veldwijk, and J. D. Swait (2020) Can healthcare choice be predicted using stated preference data? Social Science & Medicine, Vol. 246, 112736, pp. 1-13. [link]
  • Jonker, M. F., and M. C. J. Bliemer (2019) On the optimization of Bayesian D-efficient DCE designs for the estimation of QALY tariffs that are corrected for nonlinear time preferences. Value in Health, Vol. 22(10), pp. 1162-1169. [link]
  • De Bekker-Grob, E. W., J. D. Swait, H. T. Kassahun, M. C. J. Bliemer, M. F. Jonker, J. Veldwijk, K. Cong, J. M. Rose, and B. Donkers (2019) Are healthcare choices predictable? The impact of discrete choice experiment designs and models. Value in Health, Vol. 22(9), pp. 1050-1062. [link]
  • Hansen, T. B., J. S. Lindholt, A. Diederichsen, M. C. J. Bliemer, J. Lambrechtsen, F. H. Steffensen, and R. Søgaard (2019) Individual preferences on the balancing of good and harm of cardiovascular disease screening: results from a discrete choice experiment. Heart, Vol. 105, pp. 761-767. [link]
  • Van Cranenburgh, S., and M. C. J. Bliemer (2019) Information theoretic-based sampling of observations. Journal of Choice Modelling, Vol. 31, pp. 181-197. [link]
  • Batley, R., J. Bates, M. Bliemer, M. Börjesson, Jeremy Bourdon, M. O. Cabral, P. K. Chintakayala, C. Choudhury, A. Daly, T. Dekker, E. Drivyla, T. Fowkes, S. Hess, C. Heywood, D. Johnson, J. Laird, P. Mackie, J. Parkin, S. Sanders, R. Sheldon, M. Wardman, and T. Worsley (2019) New appraisal values of travel time savings and reliability in Great Britain. Transportation, Vol. 46(3), pp. 583-621. [link]
  • Bliemer, M. C. J., J. M. Rose, and C. G. Chorus (2017) Detecting dominance in stated choice data and accounting for dominance-based scale differences in logit models. Transportation Research Part B, Vol. 102, pp. 83-104. [link]
  • Bliemer, M.C.J., and A.T. Collins (2016) On determining priors for the generation of efficient stated choice experimental designs. Journal of Choice Modelling, Vol. 21, pp. 10-14. [link]
  • Determann, D., I.J. Korfage, A. Fagerlin, E.W. Steyerberg, M.C. Bliemer, H. Voeten, J.H. Richardus, M.S. Lambooij, and E.W. de Bekker-Grob (2016) Public preferences for vaccination programmes during pandemics caused by pathogens transmitted through respiratory droplets – a discrete choice experiment in four European countries. Eurosurveillance, Vol. 21, Issue 22. [link]
  • De Bekker-Grob, E.W., A.D. Bergstra, M.C.J. Bliemer, I.J.M. Trijssenaar-Buhre, A. Burdorf (2015) Protective behaviour of citizens to transport accidents involving hazardous materials: a discrete choice experiment applied to populated areas nearby waterways. PLoS ONE, Vol. 10, Issue 11, pp. 1-14. [link]
  • Determann, D., I.J. Korfage, M.S. Lambooij, M.C.J. Bliemer, J.H. Richardus, E.W. Steyerberg, E.W. de Bekker-Grob (2014) Acceptance of vaccinations in pandemic outbreaks: A discrete choice experiment. PLoS ONE, Vol. 9, Issue 7, pp. 1-13. [link]
  • Greiner, R., M.C.J. Bliemer, and J. Ballweg (2014) Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual on-farm biodiversity conservation. The Journal of Choice Modelling, Vol. 10, pp. 34-45. [link]
  • Rose, J.M., and M.C.J. Bliemer (2014) Stated choice experimental design theory: the who, the what and the why. In S. Hess and A. Daly (eds) Handbook of choice modelling. Edward-Elgar, UK, pp. 152-177. [link]
  • De Bekker-Grob, E., J.M. Rose, and M.C.J. Bliemer (2013) A closer look at decision and analyst error by including nonlinearities in discrete choice models: implications on willingness to pay estimates derived from discrete choice data in healthcare, PharmacoEconomics, Vol 31, No. 12, pp. 1169-1183. [link]
  • Bliemer, M.C.J., and J.M. Rose (2013) Confidence intervals of willingness-to-pay for random coefficient logit models. Transportation Research Part B, Vol. 58, pp. 199-214. [link]
  • De Bekker-Grob, E., M. Bliemer, B. Donkers, M.-L. Essink-Bot, I. Korfage, M. Roobol, C. Bangma, and E.W. Steyerberg (2013) Patients’ and urologists’ preferences for prostate cancer treatment: a discrete choice experiment. British Journal of Cancer, Vol. 109, pp. 633-640. [link]
  • Rose, J. M. and M. C. J. Bliemer (2013) Sample size requirements for stated choice experiments. Transportation, Vol. 40, No. 5, pp. 1021-1041. [link]
  • Bliemer, M. C .J., and J. M. Rose (2011) Experimental design influences on stated choice outputs: an empirical study in air travel choice. Transportation Research Part A, Vol. 45, pp. 63-79. [link]
  • Bliemer, M. C. J., and J. M. Rose (2010) Construction of experimental designs for mixed logit models allowing for correlation across choice observations. Transportation Research Part B, Vol. 44, No. 6, pp. 720-734. [link]
  • Bliemer, M. C. J., and J. M. Rose (2010) Serial choice conjoint analysis for estimating discrete choice models. In S. Hess and A. Daly (eds) Choice modelling: the state-of-the-art and the state-of-the-practice. Emerald, Bingley, UK, pp. 139-161. [link]
  • Rose, J. M., and M. C. J. Bliemer (2009) Constructing efficient stated choice designs. Transport Reviews, Vol. 29, No. 5, pp. 587-617. [link]
  • Bliemer, M. C. J., J. M. Rose, and D. A. Hensher (2009) Efficient stated choice experiments for estimating nested logit models. Transportation Research Part B, Vol. 43, No. 1, pp. 19-35. [link]
  • Bliemer, M. C. J., J. M. Rose, and S. Hess (2008) Approximation of Bayesian efficiency in experimental choice designs. Journal of Choice Modelling, Vol. 1, pp. 98-127. [link]
  • Bliemer, M. C. J., and P.H.L. Bovy (2008) Impact of route choice set on route choice probabilities. Transportation Research Record 2076, pp. 10-19. [link]
  • Rose, J. M., M. C. J. Bliemer, D. A. Hensher, and A. Collins (2008) Designing Efficient Stated Choice Experiments in the Presence of Reference Alternatives. Transportation Research Part B, Vol. 42, pp. 395-406. [link]
  • Rose, J. M., and M. C. J. Bliemer (2008) Stated preference experimental design strategies. In D.A. Hensher and K.J. Button (eds) Handbook of Transport Modelling, Elsevier, 2nd edition, pp. 151-180. [link]