DECISIONS project

DECISIONS: Choices and consumption: modelling long and short term decisions in a changing world

Principal investigator
European Research Council Consolidator grant (615596)
07/2014-06/2020

The DECISIONS project was a consolidator grant that received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 615596), with a follow-up Proof of Concept grant (POC Apollo, 875692).

The project, led by Professor Stephane Hess at the University of Leeds started on 1 July 2014 and ended in December 2020. Over the years, the team for the DECISIONS project included Dr Chiara Calastri (as PhD student 2014-2017, and as PDRA 2017-2020), Dr Romain Crastes dit Sourd (as PDRA, 2015-2019), Dr Thomas Hancock (as PhD student 2016-2019, and as PDRA 2019-2020), Dr David Palma (as PDRA, 2017-2020) and Miss Martyna Bogacz (as PhD student 2017-2020). Two senior staff also participated in the project, Dr Charisma Choudhury (2014-2019) and Dr Thijs Dekker (2014-2016).

The project has been highly successful, with a very large number of journal papers, the development of the Apollo software, the collection of a unique dataset, the completion of three exciting PhD projects, and the award of four important prizes for research.


Awards

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  • December 2021, Inaugural David A. Hensher ‘Best Transport Demand Modelling Paper Prize’, Australasian Transport Research Forum (ATRF), Brisbane, Decision field theory: an extension for real world settings” (with Thomas Hancock, Charisma Choudhury and Panos Tsoleridis),
  • March 2021, 1st place in PhRMA Foundation Challenge Award - Valuing Diversity: Addressing Health Disparities Challenge Award, “Drivers of Health Disparities and Consequences for COVID-19 Vaccine Choices: Modelling Health Preference Heterogeneity among Underserved Populations” (with Eline van den Broek-Altenburg, Jamie Benson & Adam Atherly)
  • January 2021 - Thomas Hancock: 2019 Eric Pas prize for the best PhD thesis in the field of Travel Behaviour Research, International Association for Travel Behaviour Research
  • August 2019 - Award for the most innovative application of choice modelling, named in honour of Andrew Daly (Thomas Hancock, Stephane Hess & Charisma Choudhury, “Quantum rotation: a new method for capturing a change of perspective”), 6th International Choice Modelling Conference, Kobe
  • July 2018 - Chiara Calastri: 2017 Eric Pas prize for the best PhD thesis in the field of Travel Behaviour Research, International Association for Travel Behaviour Research
  • April 2017 - Award for the most innovative application of choice modelling, named in honour of Andrew Daly (Marek Giergiczny and Stephane Hess, “Using advanced choice models to study animal behaviour”), 5th International Choice Modelling Conference, Cape Town
  • April 2017 - Thomas Hancock: Best PhD paper “Decision field theory: improvements to current methodology and contrasts with standard choice modelling techniques”, 5th International Choice Modelling Conference, Cape Town

Major talks

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  • EWGT 2020, Paphos, Cyprus, “Travel behaviour modelling with novel data sources”, September 2020
  • Tristan 2019, Hamilton Island, Australia, “Quantum logic and neural preference accumulation: a leap into the unknown or a new dawn for dynamic travel behaviour models?”, June 2019
  • Colombian Congress of Transit and Transport in Cartagena, “The luxury (and curse) of variety: choosing between data on real, hypothetical and virtual travel behaviour, and avoiding fake data”, June 2019
  • TRANSW Symposium Sydney, “Innovative travel demand modelling using novel data sources”, November 2018
  • ICW 2018, Santiago, Chile, “From brainwaves to utilities: what can choice modellers learn from neuroscience and mathematical psychology?”, August 2018
  • ENVECHO 2017, Bern, “Quo vadis choice modelling in environmental research: more of the same or brave new departures?”, September 2017
  • Newton Fund Researcher Links Workshop, Shanghai, “Travel demand modelling and the twin challenges of urbanisation and new data”, July 2017
  • Third Workshop On Non-Market Valuation (WONV), Nancy, France, “An outsider’s view on choice modelling work in environmental economics”, June 2015

Software and data

Click to expand For full details on the Apollo software, please visit www.ApolloChoiceModelling.com

The data collected in the DECISIONS project is available for download.

Journal papers

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Links to published versions of each paper are provided below. If you do not have access to specific journals/articles, please e-mail me for a pdf copy.

  1. Tsoleridis, P., Choudhury, C.F. & Hess, S. (2025), Using probabilistic clustering techniques as a specification tool for capturing heterogeneity in choice models, Transportation Research Part C, Volume 179, October 2025, 105289.
  2. Tsoleridis, P., Hess, S. & Choudhury, C.F. (2025), Accounting for continuous correlations among alternatives in the context of spatial choice modelling using high resolution mobility data, Transportmetrica Part A, forthcoming.
  3. Huan, N., Hess, S., Yamamotoa T. & Yaob, E. (2025), Modelling intermodal traveller behaviour in mega-city regions: Simultaneous versus sequential estimation frameworks, Transportation, forthcoming.
  4. Buckell, J., Palma, D.A., Hess, S., Jebb, S. & Piernas, C. (2025), Taxing saturated fat versus behavioural interventions: Multiple discrete-continuous extreme value (MDCEV) models within a randomized controlled trial of shopping behaviour, Food Policy, Volume 132, April 2025, 102836
  5. Wang S., Mo, B. Zheng, Y., Hess, S. & Zhao, J. (2024), Comparing hundreds of machine learning and discrete choice models for travel demand modeling: an empirical benchmark, Transportation Research Part B, forthcoming.
  6. Tsoleridis, P., Hess, S. & Choudhury, C.F. (2024), Accounting for continuous correlations among alternatives in the context of spatial choice modelling using high resolution mobility data, Transportmetrica Part A, forthcoming.
  7. Huan, N., Hess, S., Yamamotoa T. & Yaob, E. (2024), Modelling intermodal traveller behaviour in mega-city regions: Simultaneous versus sequential estimation frameworks, Transportation, forthcoming.
  8. Hancock, T.O., Hess, S., Choudhury, C.F., Tsoleridis, P. (2024), Decision field theory: An extension for real-world settings, Journal of Choice Modelling, 52, 100495.
  9. Song, F., Hess, S. & Dekker, T. (2024), Uncovering the link between intra-individual heterogeneity and variety seeking: the case of new shared mobility, Transportation, 51, pp. 371–406.
  10. Daly, A., Hess, S. & Ortúzar, J. de D. (2023), Estimating willingness-to-pay from discrete choice models: Setting the record straight, Transportation Research Part A, 176, 103828.
  11. Webb, E.J.D., Meads, D., Lynch, Y., Randall, N., Judge, S., Goldbart, J., Meredith, S., Moulam, L., Hess, S. & Murray, J. (2023), Something for everybody? Assessing the suitability of AAC systems for children using stated preference methods, Augmentative and Alternative Communication, 39(3), pp. 157-169.
  12. Calastri, C., Giergiczny, M., Zedrosser, A. & Hess, S. (2023), Modelling activity patterns of wild animals - an application of the Multiple Discrete-Continuous Extreme Value (MDCEV) model, Journal of Choice Modelling, 47, 100415.
  13. Meester, D.A.J., Hess, S., Buckell, J. & Hancock, T.O. (2023), Can decision field theory enhance our understanding of health-based choices? Evidence from risky health behaviors. Health Econonomics, 32(8), pp. 1710-1732.
  14. Tsoleridis, P., Choudhury, C. & Hess, S. (2023), Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling, Journal of Transport Geography, 108, 103567.
  15. Huan, N., Hess, S., Yao, E. & Liu, W. (2022), Time-dependent pricing strategies for metro lines considering peak avoidance behaviour of commuters, Transportmetrica A: Transport Science, 18:3, 1420-1444.
  16. Tsoleridis, P., Choudhury, C.F. & Hess, S. (2022), Deriving transport appraisal values from emerging revealed preference data, Transportation Research Part A, Volume 165, pp. 225-245.
  17. Palma, D. & Hess, S. (2022), Extending the Multiple Discrete Continuous (MDC) modelling framework to consider complementarity, substitution, and an unobserved budget, Transportation Research Part B, Volume 161, pp. 13-35.
  18. Tjiong, J., Dekker, T., Hess, S. & Ojeda Cabral, M. (2022), The selection of income measures in value of travel time models and their implications for the VTT, its cross-sectional income elasticity and transport appraisal, Research in Transportation Economics, Volume 94, 101168.
  19. Hess, S., Lancsar, E., Mariel, P., Meyerhoff, J., Song, F., van den Brok-Altenburg, E., Alaba, O.A., Amaris, G., Arellana, J., Baso, L., Benson, J., Bravo-Moncayo, L., Chanel, O., Choi, S., Crastes dit Sourd, R., Cybis, H.B., Dorner, Z., Falco, P., Garzón-Pérez, L., Glass, K., Guzmán, L.A., Huang, Z., Huynh, E., Kim, B., Konstantinus, A., Konstantinus, I., Larrañaga, A.M., Longo, A., Loo, B.P.Y., Oehlmann, M., O’Neill, V., Ortúzar, J. de D., Sanz, M.J., Sarmiento, O.L., Tamuka Moyo, H., Tucker, S., Wang, Y., Wang, Y., Webb, E.J., Zhang, J. & Zuidgeest, M.H.P. (2022), The path towards herd immunity: predicting COVID-19 vaccination uptake through results from a stated choice study across six continents, Social Science & Medicine, 298, April 2022, 114800.
  20. Huan, N., Hess, S. & Yao, E. (2022), Understanding the effects of travel demand management on metro commuters’ behavioural loyalty: a hybrid choice modelling approach, Transportation 49, pp. 343–372.
  21. Tsoleridis, P., Choudhury, C.F. & Hess, S. (2022), Utilising activity space concepts to sampling of alternatives for mode and destination choice modelling of discretionary activities, Journal of Choice Modelling, 42, 100336.
  22. Hancock, T. & Hess, S. (2021), What is really uncovered by mixing different model structures: contrasts between latent class and model averaging, European Journal of Transport and Infrastructure Research, 21 (3), pp. 38-63.
  23. Bogacz, M., Hess, S., Calastri, C., Choudhury, C.F., Mushtaq, F., Awais, M., Nazemi, M., van Eggermond, M.A.B. & Erath, A. (2021), Modelling risk perception using a dynamic hybrid choice model and brainimaging data: application to virtual reality cycling, Transportation Research Part C, Volume 133, December 2021, 103435.
  24. van den Broek-Altenburg, E.M., Atherly, A.J., Hess, S. & Benson, J. (2021), The effect of unobserved preferences and race on vaccination hesitancy for COVID-19 vaccines: implications for health disparities, Journal of Managed Care & Specialty Pharmacy 2021 27:9-a Suppl, S2-S11.
  25. Capurso, M., Hess, S. & Dekker, T. (2021), Stated Consideration and Attribute Thresholds in Mode Choice Models: a Hierarchical ICLV Approach, European Journal of Transport and Infrastructure Research, 21(3), pp. 106-123.
  26. Amaris, G., Dawson, R., Gironás, J., Hess, S. & Ortúzar, J. de D. (2021), From mathematical models to policy design: predicting greywater reuse scheme effectiveness and water reclamation benefits based on individuals’ preferences, Sustainable Cities and Society, 74, 103132.
  27. Webb, E.J. & Hess, S. (2021), Joint modelling of choice and rating data: theory and examples, Journal of Choice Modelling, 40, 100304.
  28. Lu, H., Hess, S., Daly, A., Patruni, B., Rohr & Vuk, G. (2021), Using state-of-the-art models in applied work: travellers’ willingness to pay for a toll tunnel in Copenhagen, Transportation Research Part A, 154, pp. 37-52.
  29. Bwambale, A., Choudhury, C., Hess, S., Iqbal, S. (2021), Getting the best of both worlds - a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling, Transportation, 48, pp. 2287–2314.
  30. Bogacz, B., Hess, S., Choudhury, C.F., Calastri, C., Mushtaq, M., Awais, M., Nazemi, M., van Eggermond, M. & Erath, A. (2021), Cycling in virtual reality: modelling behaviour in an immersive environment, Transportation Letters, 13(8), pp. 608-622.
  31. Hancock, T., Hess, S., Marley, A.A.J. & Choudhury, C. (2021), An accumulation of preference: two alternative dynamic models for understanding transport choices, Transportation Research Part B, Volume 149, July 2021, Pages 250-282.
  32. Webb, E.J.D., Meads, D., Lynch, Y., Judge, S. Randall, N., Goldbart, J., Meredith, S., Moulam, L., Hess, S. & Murray, J. (2021), Attribute selection for a discrete choice experiment incorporating a best-worst scaling survey, Value in Health, Volume 24, Issue 4, April 2021, Pages 575-584.
  33. Fayyaz, M., Bliemer, M., Beck, M., Hess, S. & van Lint, H. (2021), Stated Choices and Simulated Experiences: Differences in the Value of Travel Time and Reliability, Transportation Research Part C, Volume 128, 103145.
  34. Song, F., Hess, S. & Dekker, T. (2021), A joint model for stated choice and best worst scaling data using latent attribute importance: application to high speed rail, Transportmetrica A, 17(4), pp. 411-438.
  35. Palma, D., Enam, A., Hess, S., Calastri, C. & Crastes dit Sourd, R. (2021), Modelling multiple occurrences of activities during a day: An extension of the MDCEV model, Transportmetrica B, 9(1), pp. 456-478.
  36. Amaris, G., Hess, S., Gironás, J. & J. & Ortúzar, J. de D. (2021), Capturing and analysing heterogeneity in residential greywater reuse preferences using a latent class model, Journal of Environmental Management, 279, 111673.
  37. Hess, S., Meads, D., Twiddy, M., Mason, S., Czoski-Murray, C. & Minton, J. (2021), Characterising heterogeneity and the role of attitudes in patient preferences: a case study in preferences for outpatient parenteral intravenous antimicrobial therapy (OPAT) services, Journal of Choice Modelling, 38, 100252.
  38. Buckell, J., Hensher, D.A. & Hess, S. (2021), Kicking the habit is hard: a hybrid choice model investigation into the role of addiction in smoking behaviour, Health Economics, 30(1), pp. 3-19.
  39. Paschalidis, E., Choudhury, C.F. & Hess, S. (2021), From driving simulator experiments to field traffic application: Improving the transferability of car-following models, Journal of Transportation Engineering, Part A: Systems, 147(1), art. no. 468.
  40. Amaris, G., Gironás, J., Hess, S. & J. & Ortúzar, J. de D. (2021), Using hybrid choice models to capture the impact of attitudes on residential greywater reuse preferences, Resources, Conservation & Recycling, 164, 105171.
  41. Murray, J., Lynch, Y., Goldbart, J., Moulam, L., Judge, S., Webb, E., Jayes, M., Meredith, S., Whittle, H., Randall, N., Meads, D. & Hess, S. (2020), The decision-making process in recommending electronic communication aids for children and young people who are non-speaking: the I-ASC mixed-methods study. Health Services and Delivery Research 2020, 8(45).
  42. Bogacz, M., Hess, S., Calastri, C., Choudhury, C.F., Erath, A., van Eggermond, M., Mustaq, F., Nazemi, M. & Awais, M. (2020), A Comparison of Cycling Behaviour between Keyboard-Controlled and Instrumented Bicycle Experiments in Virtual Reality, Transportation Research Record, 2674 issue: 7, page(s): 244-257.
  43. Haque, Md B., Choudhury, C.F. & Hess, S. (2020), Understanding differences in residential location preferences between ownership and renting: a case study of London, Journal of Transport Geography, 88, 102866.
  44. Konstantinus, A., Zuidgeest, M., Hess, S. & de Jong, G. (2020), Assessing Inter-Urban Freight Mode Choice Preference for Short-sea Shipping in the Southern African Development Community Region, Journal of Transport Geography, 88, 102816.
  45. Amaris, G., Dawson, R., Gironás, J., Hess, S. & J. & Ortúzar, J. de D. (2020), Understanding the preferences for different types of urban greywater uses and the impact of qualitative attributes, Water Research, 184, 116007.
  46. Hancock, T., Hess, S., Daly, A.J. & Fox, J. (2020), Using a sequential latent class approach for model averaging: benefits in forecasting and behavioural insights, Transportation Research Part A, 139, pp. 429-454.
  47. Hancock, T., Broekaert, J., Hess, S. & Choudhury, C. (2020), Quantum choice models: a flexible new approach for understanding moral decision-making, Journal of Choice Modelling, 37, 100235.
  48. Hancock, T., Broekaert, J., Hess, S. & Choudhury, C. (2020), Quantum probability: a new method for modelling travel behaviour, Transportation Research Part B, 139, pp. 165-198.
  49. Calastri, C., Hess, S., Palma, D. & Crastes dit Sourd, R. (2020), Capturing relationship strength: a choice model for leisure time, frequency of interaction and ranking in name generators, Travel Behaviour and Society, 20, 290-299.
  50. Hess, S., Daly, A.J. & Börjesson, M. (2020), A Critical Appraisal of Use of Simple Time-Money Trade-Offs for Appraisal Value of Time Measures, Transportation, 47, 1541–1570.
  51. Calastri, C., Hess, S., Pinjari, A. & Daly, A. (2020), Accommodating correlation across days in multiple-discrete continuous models for time use, Transportmetrica B, 8, 108-128.
  52. Daly, A.J. & Hess, S. (2020), VTT or VTTS: a note on terminology for value of travel time work, Transportation, 47, 1359-1364.
  53. Hess, S., Choudhury, C.F., Bliemer, M. and Hibberd, D. (2020), Modelling Lane-Changing Behaviour in Approaches to Roadworks: Contrasting and Combining Driving Simulator Data with Stated Choice Data, Transportation Research Part C, 112, 282–294.
  54. Calastri, C., Crastes dit Sourd, R. & Hess, S. (2020), We want it all: experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning, Transportation, 47(1), 175-201.
  55. Bergantino, A.S., Capurso & Hess, S. (2020), Modelling regional accessibility to airports using discrete choice models: An application to a system of regional airports, Transportation Research Part A, 132, 855-871.
  56. Bergantino, A.S., Capurso, M., Dekker, T. & Hess, S. (2019), Allowing for heterogeneity in the consideration of airport access modes: the case of Bari airport, Transportation Research Record, 2673(8), 50-61.
  57. Webb, E.D, Meads, D., Lynch, Y., Randall, N., Judge, S., Goldbart, J., Meredith, S., Moulam, L. Hess, S. & Murray, J. (2019), Finding the best fit: A discrete choice experiment on the decision making of augmentative and assistive technology professionals working with children, BMJ Open, 9(11), doi:10.1136/bmjopen-2019-030274.
  58. Bwambale, A., Choudhury, C. & Hess, S. (2019), Modelling departure time choice using mobile phone data, Transportation Research Part A, 130, pp. 424–439.
  59. Haque, Md B., Choudhury, C.F., Hess, S. & Crastes dit Sourd, R. (2019), Modelling residential mobility decision and its impact on car ownership and travel mode, Travel Behaviour and Society, Volume 17, October 2019, Pages 104-119.
  60. Hess, S. & Palma, D. (2019), Apollo: a flexible, powerful and customisable freeware package for choice model estimation and application, Journal of Choice Modelling, 32, September 2019, 100170.
  61. Haque, M.D., Choudhury, C.F. & Hess, S. (2019), Modelling Residential Location Choices with Implicit Availability of Alternatives, Journal of Transport and Land Use, 12(1), pp. 597–618.
  62. Capurso, M., Hess, S. & Dekker, T. (2019), Modelling the role of consideration of alternatives in mode choice: An application on the Rome-Milan corridor, Transportation Research Part A, 129, November 2019, Pages 170-184.
  63. Bwambale, A., Choudhury, C.F. & Hess, S. (2019), Modelling long-distance route choice using mobile phone call detail record data: A case study of Senegal, Transportmetrica A, 15(2), pp. 1543-1568.
  64. Paschalidis, E., Choudhury, C.F. & Hess, S. (2019), Combining driving simulator and physiological sensor data in a latent variable model to incorporate the effect of stress in car-following behaviour, Analytic Methods in Accident Research, 22, 100089.
  65. Webb, E.J.D., Meads, D., Lynch, Y., Randall, N., Judge, S., Goldbart, J., Meredith, S., Moulam, L., Hess, S. & Murray, J. (2019), What’s Important in AAC Decision Making for Children? Evidence from a Best-worst Scaling Survey, Augmentative and Alternative Communication, 35(2), pp. 80-94.
  66. Bwambale, A., Choudhury, C.F. & Hess, S. (2019), Modelling trip generation using mobile phone data: a latent demographics approach, Journal of Transport Geography, 76, Pages 276-286.
  67. Calastri, C., Hess, S., Choudhury, C.F., Daly, A.J. & Gabrielli, L. (2019), Mode choice with latent availability and consideration: theory and a case study, Transportation Research Part B, 123, pp. 374-385.
  68. Buckell, J. & Hess, S. (2019), Stubbing out hypothetical bias: improving tobacco market predictions by combining stated and revealed preference data, Journal of Health Economics, 65, pp. 93-102.
  69. Guevara, C.A. & Hess, S. (2019), A control-function approach to correct for endogeneity in discrete choice models estimated on SP-off-RP data and contrasts with an earlier FIML approach by Train & Wilson, Transportation Research Part B, 123, pp. 224-239.
  70. Dada, M., Zuidgeest, M. & Hess, S. (2019), Modelling pedestrian crossing choice behaviour on Cape Town freeways: caught between a rock and a hard place?, Transportation Research Part F, 60, pp. 245-261.
  71. Hess, S. & Börjesson, M. (2019), Understanding attitudes towards congestion pricing: a latent variable investigation with data from four cities, Transportation Letters, 11(2), pp. 63-77.
  72. Tjiong, J., Hess, S., Dekker, T. & Cabral, M. (2018), Impact of travel time constraints on taste heterogeneity and nonlinearity in simple time-cost trade-offs, Transportation Research Record, 2672(49) 135–145.
  73. Calastri, C., Hess, S., Daly, A., Carrasco, J. and Choudhury, C.F. (2018), Modelling the loss and retention of contacts in social networks: the role of dyad- level heterogeneity and tie strength, Journal of Choice Modelling, 29, pp. 63-77.
  74. Paschalidis, E., Choudhury, C. & Hess, S. (2018), Modelling the effects of stress on gap-acceptance decisions combining data from the driving simulator and physiological sensors, Transportation Research Part F, 59(A), pp.418-435.
  75. Song, F., Hess, S. & Dekker, T. (2018), Accounting for the impact of variety-seeking: theory and application to HSR-air intermodality in China, Journal of Air Transport Management, 69, pp. 99-111.
  76. Hess, S., Spitz, G., Bradley, M. & Coogan, M. (2018), Analysis of mode choice for intercity travel: application of a hybrid choice model to two distinct US corridors, Transportation Research Part A, 116, pp. 547-567.
  77. Hess, S., Daly, A.J. & Batley, R. (2018), Revisiting consistency with random utility maximisation: theory and implications for practical work, Theory and Decision, 84(2), pp. 181-204.
  78. Ibraimovic, T. & Hess, S. (2018), A Latent Class Model of Residential Choice Behaviour and Ethnic Segregation Preferences, Housing Studies, 33, pp. 544-564.
  79. Hancock, T.O., Hess, S. & Choudhury, C.F. (2018), Decision field theory: improvements to current methodology and comparisons with standard choice modelling techniques, Transportation Research Part B, 107, pp. 18-40.
  80. Mahieu, P.A., Andersoon, H., Beaumais, O., Crastes, R., Hess, S. & Wolff, F-C. (2017), Stated preferences: a unique database composed of 1,657 recent published articles in journals related to agriculture, environment or health, Review of Agricultural, Food and Environmental Studies, 98(3), pp. 201-220.
  81. Calastri, C., Hess, S., Daly, A.J. & Carrasco, J.A. (2017), Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary data, Transportation Research Part A, 104, pp. 1-20.
  82. Giergiczny, M., Dekker, T., Hess, S. & Chintakayala, P. (2017), Testing the stability of utility parameters in repeated best, repeated best-worst and one-off best-worst studies, European Journal of Transport and Infrastructure Research, 17(4), pp. 457-476.
  83. Hess, S. & Train, K.E. (2017), Correlation and scale in mixed logit models, Journal of Choice Modelling, 23, pp. 1-8.
  84. Hess, S., Murphy, P., Le, H. & Leong, W.Y. (2017), Estimation of new monetary valuations of travel time, quality of travel and safety for Singapore, Transportation Research Record, 2664, pp. 79–90.
  85. Beck, M.J., Hess, S., Ojeda Cabral, M. & Dubernet, I. (2017), Valuing travel time savings: a case of short-term or long-term choices?, Transportation Research Part E, 100, pp. 133-143.
  86. Calastri, C., Hess, S., Daly, A.J., Maness, M. Kowald, K., Axhausen , K.W. (2017), Modelling contact mode and frequency of interactions with social network members using the multiple discrete-continuous extreme value model, Transportation Research Part C, 76, pp. 16-34.
  87. Lu, H., Hess, S., Daly, A.J. & Rohr, C. (2017), Measuring the impact of alcohol multi-buy promotions on consumers’ purchase behaviour, Journal of Choice Modelling, 24, pp. 75-95.
  88. Ibraimovic, T. & Hess, S. (2017), Changes in the ethnic composition of neighbourhoods: Analysis of household’s response and asymmetric preference structures, Papers in Regional Science, 96(4), pp. 759–784.
  89. Hess, S., Daly, A., Dekker, T., Ojeda Cabral, M. & Batley, R.P. (2017), A framework for capturing heterogeneity, heteroskedasticity, non-linearity, reference dependence and design artefacts in value of time research, Transportation Research Part B, 96, pp. 126–149.
  90. Daly, A.J., Dekker, T. & Hess, S. (2016), Dummy coding vs effects coding for categorical variables: clarifications and extensions, Journal of Choice Modelling, 21, pp. 36-41.
  91. Pedersen, L.B., Kjaer, T. & Hess, S. (2016), Asymmetric information and user orientation in general practice. Exploring the agency relationship in a best-worst scaling study, Journal of Health Economics, Journal of Health Economics 50, pp. 115-130.
  92. Batley, R.P. & Hess, S. (2016), Testing for regularity and stochastic transitivity using the structural parameter of nested logit, Transportation Research Part B, 93, pp. 355-376.
  93. Beck, M. & Hess, S. (2016), Willingness to Accept Longer Commutes for Better Salaries: Understanding the Differences Within and Between Couples, Transportation Research Part A, 91, pp. 1-16.
  94. Dekker, T., Hess, S., Brouwer, R. & Hofkes, M. (2016), Decision uncertainty in multi-attribute stated preference studies, Resource and Energy Economics, 43, pp. 57-73.

Conference presentations

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This is as close as possible to a complete list of presentations at conferences.

  1. Tsoleridis, P., Choudhury, C.F. & Hess, S. (2022), Deriving Transport Appraisal Values from Emerging Data Sources, 101th Annual Meeting of the Transportation Research Board, Washington, D.C.
  2. Zannat, K.E., Choudhury, C.F. & Hess, S. (2021), Modelling departure time choice of car commuters in Dhaka, Bangladesh, 100th Annual Meeting of the Transportation Research Board, Washington, D.C.
  3. Crastes Dit Sourd, R., Hess, S., Borejesson, M. & Hensher, D. (2020), Preference instability in stated choice surveys: more evidence, hEART 2020: 9th Symposium of the European Association for Research in Transportation, Lyon
  4. Palma, D. & Hess, S. (2020), Apollo: a flexible and powerful free open source R package for choice modelling, 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  5. Bogacz, M., Calastri, C., Choudhury, C., Hess, S., Erath, A., van Eggermond, M. & Mushtaq, F. (2020), Cycling Behavior in Virtual Reality: A Comparison Between Keyboard Controlled and Instrumented Bicycle Experiments, 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  6. Hancock, T., Hess, S. & Choudhury, C. (2020), Quantum rotation: a new method for capturing a change of perspective, 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  7. Hancock, T., Hess, S. & Choudhury, C. (2020), A Decision Field Theory Model for Dynamic Choice Contexts: Further Steps Towards Bridging Choice Modelling with Mathematical Psychology, 99th Annual Meeting of the Transportation Research Board, Washington, D.C.
  8. Dastjerdi, A.M., Hess, S. & Pereira, F.C. (2019), Discovering Causal Structure from Attitudinal Data: What Motives People to Use Mobility-Management Travel Apps, hEART 2019 – 8th Symposium of the European Association for Research in Transportation, Budapest
  9. Pereira, F., Dastjerdi, A. and Hess, S. (2019), Discovering causal structure from observations: experiments with causal discovery on attitudinal data, 6th International Choice Modelling Conference, Kobe
  10. Crastes dit Sourd, R., Calastri, C., Hess, S., Choudhury, C.F. and Palma, D. (2019), The path of life: modelling life course events using route choice model techniques, 6th International Choice Modelling Conference, Kobe
  11. Hancock, T.O., Hess, S., Choudhury, C.F. and Bogacz, M. (2019), Theoretical considerations for a dynamic model for dynamic data: bridging choice modelling with mathematical psychology, 6th International Choice Modelling Conference, Kobe
  12. Bwambale, A., Choudhury, C.F., Hess, S. and Iqbal, S. (2019), Getting the best of both worlds - a framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling, 6th International Choice Modelling Conference, Kobe
  13. Calastri C., Hess, S. and Newing, A. (2019), A study of parenting choices: exploring the influence of geospatial opportunities, 6th International Choice Modelling Conference, Kobe
  14. Tsoleridis, P., Choudhury, C.F. and Hess, S. (2019), Comparison of machine learning clustering algorithms and latent classes for capturing heterogeneity in choice models, 6th International Choice Modelling Conference, Kobe
  15. Tjiong, J., Dekker, T., Hess, S., Giergiczny, M. and Ojeda-Cabral, M. (2019), Capturing zero-price effects in stated choice surveys and implications for willingness-topay computation, 6th International Choice Modelling Conference, Kobe
  16. Webb, E. and Hess, S. (2019), Joint modelling of choice and rating data: theory and examples, 6th International Choice Modelling Conference, Kobe
  17. Palma D. and Hess, S. (2019), An MDCEV model with unknown budget, 6th International Choice Modelling Conference, Kobe
  18. Hess, S. and Hancock, T.O. (2019), Identification and interpretation of process parameters in mathematical psychology models, 6th International Choice Modelling Conference, Kobe
  19. Konstantinus, A., Zuidgeest, M., Hess, S. and de Jong, G. (2019), Opportunities for short sea shipping in the southern African development community: evidence based on discrete choice modelling, 6th International Choice Modelling Conference, Kobe
  20. Tamuka Moyo, H., Calastri, C., Zuidgeest, M. and Hess, S. (2019), The use of contraception among young South Africans: a longitudinal choice model, 6th International Choice Modelling Conference, Kobe
  21. Lu, H., Patruni, B., Rohr, C., Hess, S., Daly, A., Vuk, G. and Paag, H. (2019), Using state-of-the-art models in applied work: travellers willingness to pay for a toll tunnel in Copenhagen, 6th International Choice Modelling Conference, Kobe
  22. Spitz, G. and Hess, S. (2019), The ability to and need for estimating models with a high number of alternatives aka: enumerative models, 6th International Choice Modelling Conference, Kobe
  23. Tsoleridis, P., Choudhury, C.F. and Hess, S. (2019), Investigation of factors influencing individual exploration patterns, 6th International Choice Modelling Conference, Kobe
  24. Song, F., Hess, S. and Dekker, T. (2019), Fancy sharing an air taxi? Uncovering the impact of variety seeking on the demand for new shared mobility services, 6th International Choice Modelling Conference, Kobe
  25. Hancock, T.O., Hess, S. and Choudhury, C.F. (2019), Quantum rotation: a new method for capturing a change of perspective, 6th International Choice Modelling Conference, Kobe
  26. Fayyaz, M., Bliemer, M., Beck, M., Rutström, E., Hess, S. and van Lint, J.W.C. (2019), Route choice behaviour under travel time uncertainty accounting for learning via description and experience-based feedback, 6th International Choice Modelling Conference, Kobe
  27. Bogacz, M., Hess, S., Choudhury, C.F., Calastri, C., Erath, A., Van Eggermond, M., Mushtaq, F. and Awais, M. (2019), Modelling risk perception using a dynamic hybrid choice model and brain-imaging data: application to virtual reality cycling, 6th International Choice Modelling Conference, Kobe
  28. Enam, A., Palma, D., Hess, S., Calastri, C. and Crastes dit Sourd, R. (2019), Episode-based approach to multiple discrete continuous (MDC) models: a novel framework for time use analysis, 6th International Choice Modelling Conference, Kobe
  29. Bogacz, M., Calastri, C., Choudhury, C., Hess, S., Erath, A., van Eggermond, M. & Mushtaq, F. (2019), Processing Cycling Risk Under Different Elicitation Methods: Comparing 2D and 3D in Virtual Reality Choice Environments, 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  30. Bergantino, A.S., Capurso, M., Dekker, D. & Hess, S. (2019), Allowing for Heterogeneity in the Consideration of Airport Access Modes: The Case of Bari Airport , 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  31. Paschalidis, E., Choudhury, C. & Hess, S. (2019), Modeling the Effects of Stress in the Car-Following Model Using Driving Simulator and Physiological Sensor Data , 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  32. Song, F., Dekker, T. & Hess, S. (2019), Combining Stated Choice Data and Best-Worst Scaling (Case 1 and Case 2) Data to Understand Attribute Importance in Mode Choice Behavior , 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  33. Fayyaz, M., Bliemer, M., Beck, M. & Hess, S., (2019), Route Choice Behavior in Stated Choice Experiments: With and Without Consequences , 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  34. Bwambale, A., Choudhury, C. & Hess, S. (2019), Modeling Departure Time Choices Using Mobile Phone Data , 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  35. Hancock, T., Hess, S., Daly, A., Fox, J. (2019), Model Averaging: Revisiting Our Approach to Decision Rule Heterogeneity and Improving Our Travel Behavior Models , 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  36. Hancock, T., Hess, S., Choudhury, C. (2019), Quantum Probability: A New Method for Modeling Travel Choices, 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  37. Crastes dit Sourd, R., Palma, D., Hess, S., Daly, A.J., Holz-Rau, C. & Scheiner, J. (2019), On Model Composition and Selection in Composite Marginal Likelihood Estimation , 98th Annual Meeting of the Transportation Research Board, Washington, D.C.
  38. Palma, D., Hess, S., Calastri, C. & Crastes dit Sourd, R. (2018), Modelling the effect of time on products’ attractiveness: a simplified duration analysis in MDCEV, Interdisciplinary Choice Workshop ICW18, Santiago de Chile
  39. Dada, M., Zuidgeest, M. & Hess, S. (2018), Modelling pedestrian crossing choice on Cape Town’s freeways, Interdisciplinary Choice Workshop ICW18, Santiago de Chile
  40. Palma, D., Ortúzar, J. de D., Rizzi, L.I., Hess, S. & Casaubon, G. (2018), Modelling wine choices: an integrated framework for food purchase and consumption using advance choice modelling, International Choice Workshop ICW18, Santiago de Chile
  41. Choudhury, C., Hess, S., Crastes dit Sourd, R. (2018), A Peek at the Future: Capturing Anticipation Effects in Dynamic Discrete Choice Models, 15th International Conference on Travel Behaviour Research, Santa Barbara
  42. Song, F., Hess, S., Dekker, T. (2018), Accounting for intra-respondent preference heterogeneity in repeated stated choice data: when new travel modes come into play, 15th International Conference on Travel Behaviour Research, Santa Barbara
  43. Bwambale, A., Hess, S., Choudhury, C. (2018), Analysing time-of-travel choices using mobile phone data, 15th International Conference on Travel Behaviour Research, Santa Barbara
  44. Palma, D., Hess, S., Enam, A., Calastri, C., Pinjari, A. (2018), Breakfast and lunch or brunch? Understanding and modelling the difference between one long and multiple short activities, 15th International Conference on Travel Behaviour Research, Santa Barbara
  45. Haque, M.B., Choudhury, C., Hess, S. (2018), Choice Set Generation in Residential Location Choice Models, 15th International Conference on Travel Behaviour Research, Santa Barbara
  46. Song, F., Hess, S., Dekker, T. (2018), Comparing and combining best-worst scaling and stated choice data to understand attribute importance in mode choice behaviour, 15th International Conference on Travel Behaviour Research, Santa Barbara
  47. Palma, D., Hess, S., Crastes dit Sourd, R., Calastri, C. (2018), From Monday to Friday: Modelling commuting mode choice for a whole week, 15th International Conference on Travel Behaviour Research, Santa Barbara
  48. Paschalidis, E., Choudhury, C., Hess, S. (2018), Incorporating the effects of stress in a traditional car-following model framework using driving simulator data and physiological sensors, 15th International Conference on Travel Behaviour Research, Santa Barbara
  49. Hancock, T.O., Hess, S., Daly, A., Fox, J. (2018), Model averaging: revisiting our approach to decision rule heterogeneity in travel behaviour models and reinterpreting the results of latent class models, 15th International Conference on Travel Behaviour Research, Santa Barbara
  50. Bergantino, A.S., Capurso, M., Dekker, T., Hess, S. (2018), Modelling consideration of alternatives as a function of individuals’ attitudes and perceptions: an application to airport access mode choice, 15th International Conference on Travel Behaviour Research, Santa Barbara
  51. Calastri, C., Crastes dit Sourd, R., Hess, S. (2018), Moving towards a deeper understanding of joint travel and activity participation by combining data from name generators and time use diaries, 15th International Conference on Travel Behaviour Research, Santa Barbara
  52. Calastri, C., Hess, S., Pinjari, A., Daly, A., Palma, D. (2018), Multi-day time use applications of the MDCEV model: behavioural phenomena, implementation issues and practical solutions, 15th International Conference on Travel Behaviour Research, Santa Barbara
  53. Bogacz, M., Calastri, C., Choudhury, C., Hess, S., Erath, A., Van Eggermond, M., Mushtaq, F. (2018), Neural processing of risk under different elicitation methods: implications for travel behaviour research, 15th International Conference on Travel Behaviour Research, Santa Barbara
  54. Hancock, T.O., Hess, S., Choudhury, C. (2018), Quantum probability: a new method for considering travel choice, 15th International Conference on Travel Behaviour Research, Santa Barbara
  55. Tjiong, J., Dekker, T., Hess, S., Cabral, M.O. (2018), Revisiting the cross-sectional income elasticity of the VTT: gross, disposable and equivalised disposable income, 15th International Conference on Travel Behaviour Research, Santa Barbara
  56. Capurso, M., Dekker, T., Hess, S. (2018), Stated consideration and attribute thresholds in mode choice models: a hierarchical ICLV approach, 15th International Conference on Travel Behaviour Research, Santa Barbara
  57. Crastes dit Sourd, R., Calastri, C., Hess, S., Choudhury, C., Palma, D. (2018), The path of life: exploring alternative frameworks for modelling long-term mobility choices, 15th International Conference on Travel Behaviour Research, Santa Barbara
  58. Bwambale, A., Choudhury, C.F. and Hess, S., (2018), Modeling Long-Distance Route Choice Using Mobile Phone Call Detail Record Data: A Case Study of Senegal. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  59. Calastri, C., Crastes dit Sourd, R. and Hess, S., (2018), We Want It All: Experiences from a Survey Seeking to Capture Social Network Structures, Lifetime Events, and Short-Term Travel and Activity Planning. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  60. Calastri, C., Hess, S., Daly, A., Carrasco, J. and Choudhury, C.F., (2018), Modeling the Loss and Retention of Contacts in Social Networks: The Role of Tie Strength and Dyad-Level Heterogeneity. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  61. Calastri, C., Hess, S., Pinjari, A. and Daly, A., (2018), Accommodating Correlation Across Days in Multiple Discrete-Continuous Models for Activity Scheduling: Estimation and Forecasting Considerations. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  62. Choudhury, C.F., Hess, S. and Oakil, A.T., (2018), A Peek at the Future: Capturing Anticipation Effects in Discrete Choice Models. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  63. Guevara, C.A. and Hess, S., (2018), A Control-Function Approach to Correct for Endogeneity in Discrete Choice Models Estimated on SP-OFF-RP Data. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  64. Hancock, T.O., Hess, S. and Choudhury, C.F., (2018), A Comparison of the Suitability of Accumulation Models in Travel Behavior Modeling. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  65. Hancock, T.O., Hess, S. and Choudhury, C.F., (2018), Incorporating Response Time in a Decision Field Theory Model. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  66. Haque, M.B., Choudhury, C.F. and Hess, S., (2018), Investigating the Temporal Dynamics of Long-Term and Medium-Term Residential Location Choices: A Case Study of London. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  67. Hess, S., Choudhury, C.F., Bliemer, M. and Hibberd, D., (2018), Modeling Lane-Changing Behavior in Approaches to Roadworks: Contrasting and Combining Driving Simulator Data with Stated Choice Data. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  68. Palma, D., Crastes dit Sourd, R., Calastri, C., Hess, S. and O’Neill, V., (2018), Providing Personalized Feedback to Investigate the Role of Social Influence on Travel Behavior. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  69. Paschalidis, E., Choudhury, C.F. and Hess, S., (2018), Improving the Transferability of Car-Following Models Between Driving Simulator and Field Traffic. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  70. Paschalidis, E., Choudhury, C.F. and Hess, S., (2018), Modeling the Effects of Stress on Gap-Acceptance Decisions in a Driving Simulator Experiment Using Physiological Sensors. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  71. Song, F., Hess, S. and Dekker, T., (2018), Accounting for the Impact of Latent Variety-Seeking Tendencies Theory and Application to HSR–Air Intermodality in China. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  72. Song, F., Hess, S. and Dekker, T., (2018), Comparing and Combining Best–Worst Scaling and Stated Choice Data to Understand Attribute Importance in Mode-Choice Behavior. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  73. Tjiong, J., Hess, S. and Dekker, T., (2018), Impact of Travel Time Constraints on Taste Heterogeneity and Nonlinearity in Simple Time–Cost Trade-Offs. The Transportation Research Board (TRB) 97th Annual Meeting, Washington, D.C.
  74. Palma, D., Crastes dit Sourd, R., Calastri, C., Hess, S., Beck, M. and O’Neill, V. (2017), Providing personalised feedback to investigate the role of social influence on travel behaviour, hEART 2017 – 6th Symposium of the European Association for Research in Transportation, Tel Aviv
  75. Song, F., Hess, S., Dekker, T. (2017), Modelling mode choice behaviour in the context of air-­HSR intermodality in China, ATRS conference, Antwerp.
  76. Hancock, T.O., Hess, S. and Choudhury, C.F. (2017), Improving decision field theory for consumer choice modelling applications, paper presented at MathPsych, Warwick.
  77. Dada, M., Zuidgeest, M. & Hess, S. (2017), Modelling pedestrian crossing choice behaviour on Cape Town freeways: caught between a stone rock and a hard place?, 5th International Choice Modelling Conference, Cape Town.
  78. Smith, B., Olaru, D., Hess, S., Beck, M. & Choudhury, C. (2017), Dwelling and Residential Location Choice Models on Complete Market Data, 5th International Choice Modelling Conference, Cape Town.
  79. Hess, S. & Train, K.E. (2017), Correlation and scale in mixed logit models, 5th International Choice Modelling Conference, Cape Town.
  80. Palma,. D, Ortuzar, J.d.D, Rizzi, L.I. & Hess, S. (2017), An incentive-compatible experiment to model wine preferences considering extrinsic and intrinsic attributes, 5th International Choice Modelling Conference, Cape Town.
  81. Capurso, M., Hess, S. & Dekker, T. (2017), Modelling awareness and consideration in mode choice: an application on the Rome-Milan corridor, 5th International Choice Modelling Conference, Cape Town.
  82. Bwambale, A., Choudhury, C., Hess, S. (2017), Modelling route choice using mobile phone data: a case study of Senegal, 5th International Choice Modelling Conference, Cape Town.
  83. Tjiong, J., Giergiczny, M., Czajkowski, M. & Hess, S. (2017), Disentangling status quo bias and zero-price effect for more robust estimation of welfare changes, 5th International Choice Modelling Conference, Cape Town.
  84. Guevara, C.A. & Hess, S. (2017), Using Revealed-Preferences Sampled Choice-sets in Stated-Preference Surveys, 5th International Choice Modelling Conference, Cape Town.
  85. Song, F., Hess, S. & Dekker, T. (2017), Modelling the role and impact of variety-seeking on mode choice behaviour in the context of air-HSR intermodality, 5th International Choice Modelling Conference, Cape Town.
  86. Giergiczny, M. & Hess, S. (2017), Using advanced choice models to study animal behavior, 5th International Choice Modelling Conference, Cape Town.
  87. Haque, M., Choudhury, C. & Hess, S. (2017), Reference-dependent choice set formation for modelling of long-term and medium-term residential location choices, 5th International Choice Modelling Conference, Cape Town.
  88. Choudhury, C. & Hess, S. (2017), A Peek at the Future: Capturing the Anticipation Effects in Dynamic Discrete Choice Models, 5th International Choice Modelling Conference, Cape Town.
  89. Dekker, T., Calastri, C., Daly, A.J. & Hess, S. (2017), Revisiting the MDCEV utility function: origins, weak complementarity, minimum consumption and efficient welfare measurement, 5th International Choice Modelling Conference, Cape Town.
  90. Calastri, C., Hess, S. Carrasco, J.A. & Choudhury, C. (2017), Maintaining social contacts over time: the role of life-course events, personality traits and tie strength, 5th International Choice Modelling Conference, Cape Town.
  91. Crastes dit Sourd, R., Beck, M., Choudhury, C., Dekker, T. & Hess, S. (2017), Modelling state dependence in rare life course events: Introducing the Accumulative Hybrid Choice Skew Multivariate Probit, 5th International Choice Modelling Conference, Cape Town.
  92. Paschalidis, E., Choudhury, C. & Hess, S. (2017), Investigating the effects of stress on choices - Evidence from gap acceptance decisions of drivers in a simulator experiment, 5th International Choice Modelling Conference, Cape Town.
  93. Hancock, T., Hess, S. & Choudhury, C. (2017), Decision field theory: improvements to current methodology and contrasts with standard choice modelling techniques, 5th International Choice Modelling Conference, Cape Town.
  94. Ibraimovic, T., Hess, S., Zuidgeest, M. & Moyo, H. (2017), Ethnic segregation and residential location choice in Cape Town, 5th International Choice Modelling Conference, Cape Town.
  95. Calastri, C., Hess, S., Daly, A.J., Pinjari, A. & Carrasco, J.A. (2017), Accommodating product-specific upper limits on consumption in multiple discrete-continuous extreme value (MDCEV) models: an application to time-use data, 5th International Choice Modelling Conference, Cape Town.
  96. de Tremerie, L., Hess, S. & de Jong, G. (2017), A hybrid DCM application in freight mode choice set in the Port of Ghent (Belgium): do environmental attitudes matter? , 5th International Choice Modelling Conference, Cape Town.
  97. de Tremerie, L., de Jong, G., Hess, S. & Beck, M. (2017), Using discrete choice modelling techniques in a mixed methods methodological framework: a case study on freight shippers in Belgium, 5th International Choice Modelling Conference, Cape Town.
  98. Spitz, G. & Hess, S. (2017), East Coast Urbanites vs West Coast hippies: understanding differences in attitudes towards public transport, 5th International Choice Modelling Conference, Cape Town.
  99. Hess, S., Murphy, P., Le, H. & Leong, W. (2017), Estimation of new monetary valuations of travel time, quality of travel and safety for Singapore, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  100. Hess, S., Beck, M. & Crastes dit Sourd, R. (2017), Can a better model specification avoid the need to move away from random utility maximisation? , 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  101. Calastri, C., Hess, S., Daly, A., Maness, M., Kowald, M. & Axhausen, K. (2017), Modelling Contact Mode and Frequency of Interactions with Social Network Members Using Multiple Discrete-Continuous Extreme Value Model, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  102. Calastri, C., Hess, S. & Carrasco, J.A. (2017), Incorporating the Social Dimension in Choice of Activity Type and Duration: Application of Multiple Discrete-Continuous Extreme Value Model, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  103. Calastri, C., Hess, S., Choudhury, C., Daly, A.J., & Gabrielli, L. (2017), Developing Mode Choice Models Using Semi-ubiquitous Data Sources: Case Study Using Smartphone-Based GPS Survey from Italy, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  104. Beck, M. & Hess, S. (2017), Stability of Preferences and Attitudes: Hybrid Model of Air Travel Preferences at Two Different Points in Time, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  105. Hancock, T., Hess, S. & Choudhury, C. (2017), Expanding Capabilities of Decision Field Theory to Complement Random Utility Models of Travel Mode Choice, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  106. Capurso, M., Hess, S. & Dekker, T. (2017), Modeling Consideration in Mode Choice: Application on Rome-Milan Corridor, Italy, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  107. Daly, A.J., Dekker, T. & Hess, S. (2017), Dummy coding vs effects coding for categorical variables in choice models: clarifications and extensions, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  108. Hess, S., Börjesson, M. & Daly, A.J. (2017), Critical Appraisal of Use of Simple Time-Money Trade-Offs for Appraisal Value of Time Measures, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  109. Crastes dit Sourd, R., Börjesson, M., Hess, S. & Hensher, D. (2017), Should Transport Analysts Worry About Incentive Compatibility? , 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  110. Bwambale, A., Choudhury, C. & Hess, S. (2017), Modelling Trip Generation Using Mobile Phone Data: A Latent Demographics Approach, 96th Annual Meeting of the Transportation Research Board, Washington, D.C.
  111. Palma, D., Hess, S., Guevara, C.A., Rizzi, L.I. & Ortuzar, J.d.D. (2017), When expensive is good: Modelling the wine repurchase decision, 13th International Conference of the Western Economic Association, Santiago de Chile
  112. Palma, D., Ortuzar, J.d.D., Rizzi, L.I. & Hess, S. (2017), Modelling wine preferences: a choice experiment combining extrinsic (pre consumption) and intrinsic (post consumption) attributes, 13th International Conference of the Western Economic Association, Santiago de Chile
  113. Capurso, M., Dekker, T. & Hess, S. (2016), Modelling awareness, consideration set and mode choice: An application to the Rome – Milan corridor, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  114. Ojeda Cabral, M., Zheng, J. & Hess, S. (2016), The role of the status quo on how people trade-off resources: an application to the time-money trade-off, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  115. Calastri, C., Hess, S., Choudhury, C., Daly, A.J. & Gabrielli , L. (2016), Estimation of value of travel time from GPS panel data with explicit choice set and consideration set generation , hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  116. Crastes dit Sourd, R., Calastri, C., Hess, S., Scheiner, J. & Holz-Rau, C. (2016), Modelling anticipation and interrelations between long-term mobility decisions over the life course: a recursive multivariate probit approach, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  117. Dubernet, I., Crastes dit Sourd, R., Beck, M., Hess, S., Axhausen, K., Scheiner, J. & Holz-Rau, C. (2016), A dynamic approach to long term mobility decisions in the life course, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  118. Hancock, T., Hess, S. & Choudhury, C.F. (2016), Incorporating irrationalities in decision making into choice modelling: going beyond small changes from the tried and tested, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  119. Crastes dit Sourd, R., Zheng, J., Hess, S. & Ojeda Cabral, M. (2016), A behavioural mixing model exploring the relationship between response time and decision rules, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  120. Tjiong, J., Dekker, T., Hess, S. & Ojeda Cabral, M. (2016), Considering latent money and time budgets in choice modelling, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  121. Bwambale, A., Choudhury, C.F. & Hess, S. (2016), Prediction of latent demographic groups from mobile phone data for transport modelling, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  122. Calastri, C., Hess, S., Daly, A.J., Maness, M., Kowald, M. & Axhausen, K.W. (2016), Modelling communication mode and frequency in an egocentric social network: an application of the MDCEV model, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  123. Pashalidis, E., Choudhury, C.F. & Hess, S. (2016), Development of an integrated car-following model combining driving simulator and video trajectory data, hEART 2016 – 5th Symposium of the European Association for Research in Transportation, Delft
  124. Calastri, C., Hess, S. & Carrasco, J.A. (2016), Investigating the impact of soft factors on activities and travel: A case study from Concepcion, Chile, International Transport Economics (ITEA) Conference, Santiago de Chile
  125. Calastri, C., Hess, S., Daly, A., Choudhury, C. & Gabrielli, L. (2016), Understanding mode choice from GPS panel data with consideration of environmental factors, International Transport Economics (ITEA) Conference, Santiago de Chile
  126. Guevara, A. & Hess, S. (2016), The Impact of Presenting Endogenous Choice-sets in Stated Preference Surveys: A Proposed Correction Method, International Transport Economics (ITEA) Conference, Santiago de Chile
  127. Hess, S., Daly, A.J., Dekker, T., Ojeda-Cabral, M. & Batley, R. (2016), From survey work to appraisal values: reporting on the 2014/2015 UK value of time study, International Transport Economics (ITEA) Conference, Santiago de Chile
  128. Hess, S. & Spitz, G. (2016), How much do attitudes and values matter in mode choice?, 95th Annual Meeting of the Transportation Research Board, Washington, D.C.
  129. Hess, S. & Börjesson, M. (2016), Understanding Attitudes Toward Congestion Pricing: Latent Variable Investigation with Data from Four Cities, 95th Annual Meeting of the Transportation Research Board, Washington, D.C.
  130. Ehreke, I., Crastes dit Sourd, R., Beck, M., Hess, S., Axhausen, K.W., Holz-Rau, C., Scheiner, J. (2016), A Dynamic Approach to Long Term Mobility Decisions in the Life Course, 95th Annual Meeting of the Transportation Research Board, Washington, D.C.
  131. Hess, S., Daly, A.J., Dekker, T., Ojeda Cabral, M., Batley, R.P. (2016), Specification and Estimation of Behavioural Models for the 2015 UK Value of Time Study, 95th Annual Meeting of the Transportation Research Board, Washington, D.C.
  132. Beck, M., Ojeda Cabral, M., Ehreke, I. & Hess, S. (2016), Valuing Travel Time Savings: Case of Short-Term or Long-Term Choices?, 95th Annual Meeting of the Transportation Research Board, Washington, D.C.
  133. Hess, S., Daly, A.J., Dekker, T., Cabral, M.O. & Batley, R.P. (2015), Specification and estimation of behavioural models for the 2015 UK value of time study, hEART 2015 – 4th Symposium of the European Association for Research in Transportation, Copenhagen
  134. Ojeda-Cabral, M., Batley, R.P. & Hess, S. (2015), Understanding individuals’ valuations of travel time: the role of stated choice design variables, 14th International Conference on Travel Behaviour Research, Windsor.
  135. Fox, J.B., Hess, S. & Daly, A.J. (2015), Temporal Transferability of Models of Mode and Destination Choice, 14th International Conference on Travel Behaviour Research, Windsor.
  136. Börjesson, M. & Hess, S. (2015), Understanding attitudes towards congestion pricing: a latent variable investigation with data from four cities, 14th International Conference on Travel Behaviour Research, Windsor.
  137. Spitz, G.M. & Hess, S. (2015), How much do attitudes and values matter in mode choice?, 14th International Conference on Travel Behaviour Research, Windsor.
  138. Bradley, M., Hess, S., Adler, T.J. & Fowler, M. (2015), The Influence of Anchoring on Value of Time Estimation in Stated Preference Experiments, 14th International Conference on Travel Behaviour Research, Windsor.
  139. Ehreke, I., Hess, S. & Axhausen, K.W. (2015), The German value of time and value of reliability study: Comparing alternative model formulations, 14th International Conference on Travel Behaviour Research, Windsor.
  140. Calastri, C., Choudhury, C. & Hess, S. (2015), Modelling mode choice with “messy” GPS data: a case from Italy, 14th International Conference on Travel Behaviour Research, Windsor.
  141. Hess, S., Bliemer, M., Hibberd, D. & Choudhury, C. (2015), Understanding lane changing behaviour leading up to roadworks on motorways: a latent plan application using combined simulator experiments and stated preference surveys, 14th International Conference on Travel Behaviour Research, Windsor.
  142. Hess, S., Daly, A.J., Bradley, M., Outwater, M. & Dekker, T. (2015), Testing the Use of Indirect Influence for Large Scale Modelling, 4th International Choice Modelling Conference, Austin, Texas.
  143. Fox, J.B., Hess, S. & Daly, A.J. (2015), The Temporal Transferability of Mixed Logit Mode-Destination Choice Models, 4th International Choice Modelling Conference, Austin, Texas.
  144. Daly, A.J., Hess, S., Lu, H. & Rohr, C. (2015), Modelling the Impact of Multi-Buy Promotions on Alcohol Purchasing Behaviour: A Comparison of Estimation and Implementation of Sample Selection Models and the Multiple Discrete-Continuous Extreme Value (MCDEV) Model, 4th International Choice Modelling Conference, Austin, Texas.
  145. Bradley, M., Hess, S., Adler, T.J. & Fowler, M. (2015), The Influence of Anchoring on Value of Time Estimation in Stated Preference Experiments, 4th International Choice Modelling Conference, Austin, Texas.
  146. Dekker, T., Hess, S. & van Cranenburgh (2015), Indirect Inference for the Application of Random Regret Minimization to Large-Scale Travel Demand, 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  147. Beck, M. & Hess, S. (2015), Willingness to Accept Longer Commutes for Better Salaries: Understanding the Differences Within and Between Couples, 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  148. Hess, S. & Chorus, C. (2015), Utility Maximization and Regret Minimization: Mixture of a Generalization, 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
  149. Hess, S., Bliemer, M. & Hibberd, D. (2014), Combining evidence on driver behaviour from simulator experiments and stated preference surveys, 10th International Conference on Transport Survey Methods, Leura, Australia
  150. Beck, M., & Hess, S. (2014), It’s a lovely day for a walk: pedestrian route choice with realism, 10th International Conference on Transport Survey Methods, Leura, Australia
  151. Hess, S., Daly, A.J. & Bradley, M. (2014), Using indirect inference to enable the use of cross-nested logit model for large scale modelling, hEART 2014 – 3rd Symposium of the European Association for Research in Transportation, Leeds