Journal articles

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. Zannat, K.E., Choudhury, C.F. & Hess, S. (2024), Modelling time-of-travel preferences capturing correlations between departure times and activity durations, Transportation Research Part A 184, 104081.
  2. Zannat, K.E., Laudan, J., Choudhury, C.F. & Hess, S. (2024), Developing an agent-based microsimulation for predicting the Bus Rapid Transit (BRT) demand in developing countries: A case study of Dhaka, Bangladesh, Transport Policy, 148 pp. 92-106.
  3. Zannat, K.E., Choudhury, C.F., Hess, S. & Watling, D. (2024), Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories, IET Intelligent Transport Systems, forthcoming.
  4. 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.
  5. 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.
  6. Huan, N., Hess, S., Yamamotoa T. & Yaob, E. (2024), Modelling intermodal traveller behaviour in mega-city regions: Simultaneous versus sequential estimation frameworks, Transportation, forthcoming.
  7. Feng, S., Yao, R., Hess, S., Daziano, R.A., Brathwaite, T., Walker, T. & Wang, S. (2024), Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization, Transportation Research Part C: Emerging Technologies, 166, 104767.
  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. Czine, P., Balogh, P., Blága, Z., Szabó, Z., Szekeres, R., Hess, S., Juhász, B. (2024), Is It Sufficient to Select the Optimal Class Number Based Only on Information Criteria in Fixed- and Random-Parameter Latent Class Discrete Choice Modeling Approaches? Econometrics 2024, 12, 22.
  10. 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.
  11. Amaris, G., Vesely, V., Hess, S. & Klöckner, C.A. (2024), Can competing demands affect pro-environmental behaviour: a study of the impact of exposure to partly related sequential experiments, Ecological Economics, 216, 108023.
  12. Amaris, G., Arellana, J., Beck, M., Behrens, R., Calastri, C., Hess, S., Song, F., Tamuka Moyo, H.T. & Zuidgeest, M. (2024), A multi-country panel study of behaviour, perceptions and expectations during different stages of the COVID-19 pandemic, Travel Behaviour and Society, 34, 100676.
  13. 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.
  14. Calastri, C., Hess, S. & Wilson, B. (2023), How did the use of Emergency Departments (ED) change during the first wave of the SARS-CoV-2 pandemic in the UK: an observational study, Emergency Medicine Journal, 40, pp. 518-524.
  15. 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.
  16. Hoen, F.S., Díez-Gutiérrez, M., Babri, S., Hess, S. & Tørset, T. (2023), Charging electric vehicles on long trips and the willingness to pay to reduce waiting for charging. Stated preference survey in Norway, Transportation Research Part A: Policy and Practice, 175, 103774.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Zannat, K., Choudhury, C.F. & Hess, S. (2022), Modelling departure time choice of car commuters in Dhaka, Bangladesh, Transportation Research Record 2676(2), pp. 247-262.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. Webb, E.J. & Hess, S. (2021), Joint modelling of choice and rating data: theory and examples, Journal of Choice Modelling, 40, 100304.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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).
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. Daly, A.J. & Hess, S. (2020), VTT or VTTS: a note on terminology for value of travel time work, Transportation, 47, 1359-1364.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. Bwambale, A., Choudhury, C. & Hess, S. (2019), Modelling departure time choice using mobile phone data, Transportation Research Part A, 130, pp. 424–439.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. Batley, R.P., Bates, J., Bliemer, M., Börjesson, M., Bourdon, J., Ojeda Cabral, M., Chintakayala, P.K., Choudhury, C., Daly, A.J., Dekker, T., Drivyla, E., Fowkes, A., Hess, S., Heywood, C., Johnson, D., Laird, J., Mackie, P., Parkin, J., Sanders, S., Sheldon, R., Wardman, M. and Worsley, T. (2019), New appraisal values of travel time saving and reliability in Great Britain, Transportation, 46, Issue 3, pp 583–621.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. 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.
  84. 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.
  85. Ibraimovic, T. & Hess, S. (2018), A Latent Class Model of Residential Choice Behaviour and Ethnic Segregation Preferences, Housing Studies, 33, pp. 544-564.
  86. 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.
  87. Ojeda Cabral, M., Hess, S. & Batley, R. (2018), Understanding valuation of travel time changes: are preferences different under different stated choice design settings?, Transportation, 45(1), pp. 1-21.
  88. 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.
  89. 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.
  90. 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.
  91. Hess, S. & Train, K.E. (2017), Correlation and scale in mixed logit models, Journal of Choice Modelling, 23, pp. 1-8.
  92. Minton J, Murray CC, Meads D, Hess S., Vargas-Palacios A, Mitchell E, et al. (2017), The Community IntraVenous Antibiotic Study (CIVAS): a mixed-methods evaluation of patient preferences for and cost-effectiveness of different service models for delivering outpatient parenteral antimicrobial therapy. Health Services and Delivery Research, 2017, 5(6).
  93. 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.
  94. 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.
  95. 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.
  96. 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.
  97. 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.
  98. 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.
  99. Leong, W., Goh, K., Hess, S. & Murphy, P. (2016), Improving bus service reliability: The Singapore experience, Research in Transportation Economics, 59, pp. 40-49.
  100. 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.
  101. 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.
  102. 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.
  103. 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.
  104. Ojeda Cabral, M., Hess, S. & Batley, R. (2016), The value of travel time: random utility versus random valuation, Transportmetrica A: Transport Science, 12(3), pp. 230-248.
  105. 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.
  106. Vuk, G., Bowman, J., Daly, A.J. & Hess, S. (2016), Impact of family in-home quality time on person travel demand, Transportation, 43(4), pp 705–724.
  107. Czoski Murray, C., Twiddy, M., Meads, D., Hess, S., Wright, J., Mitchell, E.D., Hulme, C., Dodd, S, Gent, H, Gregson, A., McLintock, K., Raynor, D.K., Reynard, K., Stanley, P., Vincent, R. and Minton, J. (2015), Community IntraVenous Antibiotic Study (CIVAS): Protocol for An Evaluation of Patient Preferences for and Cost effectiveness of Community Intravenous Antibiotic Services, BMJ Open, 5(8).
  108. Ehreke, I., Hess, S., Weis, C. & Axhausen, K.W. (2015), Reliability in the German value of time study, Transportation Research Record, 2495, pp. 14-22.
  109. Dumont, J., Giergiczny, M. & Hess, S. (2015), Individual level models vs. sample level models: contrasts and mutual benefits, Transportmetrica, 11(6), pp. 465-483.
  110. Hess, S., Quddus, M., Rieser, N. & Daly, A.J. (2015), Developing advanced route choice models for heavy goods vehicles using GPS data, Transportation Research Part E, 77, pp. 29-44.
  111. Hoyos, D., Mariel, P. & Hess, S. (2015), Incorporating environmental attitudes in discrete choice models: an exploration of the utility of the awareness of consequences scale, Science of the Total Environment, 505, pp. 1100-1111.
  112. Mariel, P., Meyerhoff, J. & Hess, S. (2015), Heterogeneous preferences toward landscape externalities of wind turbines - combining choices and attitudes in a hybrid model, Renewable & Sustainable Energy Reviews, 41, pp. 647-657.
  113. Hess, S. & Giergiczny, M. (2015), Intra-respondent heterogeneity in a stated choice survey on wetland conservation in Belarus: first steps towards creating a link with uncertainty in contingent valuation, Environmental & Resource Economics, 60(3), pp. 327-347.
  114. Sanko, N., Hess, S., Dumont, J. & Daly, A.J. (2014), Contrasting imputation with a latent variable approach to dealing with missing income in choice models, Journal of Choice Modelling, 12, pp. 47-57.
  115. Dekker, T., Hess, S., Arentze, T. & Chorus, C. (2014), Incorporating needs-satisfaction and regret-minimization in a discrete choice model of leisure activities, Journal of Transport Geography 38, pp. 66-74.
  116. Kløjgaard, M. & Hess, S. (2014), Understanding the formation and influence of attitudes in patients’ treatment choices for lower back pain: testing the benefits of a hybrid choice model approach, Social Science & Medicine 114, pp. 138-150.
  117. Hess, S. (2014), Impact of unimportant attributes in stated choice surveys, European Journal of Transport and Infrastructure Research, 14(4), pp.349-361.
  118. Fox, J.B., Miller, E., Daly, A.J. & Hess, S. (2014), Temporal Transferability of Models of Mode-Destination Choice for the Greater Toronto and Hamilton, Journal of Transport and Land Use 7(2), pp. 41-62.
  119. Daly, A.J., Hess, S. & Dekker, T. (2014), Practical solutions for sampling alternatives in large scale models, Transportation Research Record, 2429, 148-156.
  120. Hess, S., Beck, M. & Chorus, C. (2014), Contrasts between utility maximisation and regret minimisation in the presence of opt out alternatives, Transportation Research Part A 66, pp. 1-12.
  121. O’Neill, V. & Hess, S. (2014), Heterogeneity assumptions in the specification of bargaining models: a study of household level trade-offs between commuting time and salary, Transportation 41(4), pp. 745-763.
  122. O’Neill, V.L., Hess, S., Campbell, D. (2014), A question of taste: recognising the role of latent preferences and attitudes in analysing food choices, Food Quality and Preferences 32(PC), 299-310.
  123. Johnson, D., Hess, S. & Matthews, B. (2014), Understanding air travellers’ trade-offs between connecting flights and surface access characteristics, Journal of Air Transport Management 34, pp. 70-77.
  124. Connors, R., Hess, S. & Daly, A.J. (2014), Analytic Approximations for Computing Probit Choice Probabilities, Transportmetrica 10(2), pp. 119-139.
  125. Hess, S. & Stathopoulos, A. (2013), A mixed random utility - random regret model linking the choice of decision rule to latent character traits, Journal of Choice Modelling 9, pp. 27-38.
  126. Hess, S., Shires, J.D. & Jopson, A. (2013), Accommodating underlying pro-environmental attitudes in a rail travel context: application of a latent variable latent class specification, Transportation Research Part D 25, pp. 42-48.
  127. Collins, A., Hess, S. & Rose, J.M. (2013), Choice Modelling with Search and Sort Data from an Interactive Choice Experiment, Transportation Research Part E 56, pp. 36-45.
  128. Hess, S. & Stathopoulos, A. (2013), Linking response quality to survey engagement: a combined random scale and latent variable approach, Journal of Choice Modelling 7, pp. 1-12.
  129. Hess, S., Shires, J.D. & Bonsall, P.W. (2013), A latent class approach to dealing with respondent uncertainty in a stated choice survey for fare simplification on bus journeys, Transportmetrica 9(6), pp. 473-493.
  130. Hess, S., Stathopoulos, A., Campbell, D., O’Neill, V. & 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), pp. 583-607.
  131. Hess, S., Ryley, T., Davison, L. & Adler, T. (2013), Improving the quality of demand forecasts through cross nested logit: a stated choice case study of airport, airline and access mode choice, Transportmetrica 9(4), pp. 358-384.
  132. Hess, S. & Hensher, D.A. (2013), Making use of respondent reported processing information to understand attribute importance: a latent variable scaling approach, Transportation 40(2), pp. 397-412.
  133. Rose, J.M., Hess, S. & Collins, A. (2013), What if my model assumptions are wrong: the impact of non-standard behaviour on choice model estimation, Journal of Transport Economics and Policy 47(2), pp. 245-263.
  134. Fu, Q., Liu, R. & Hess, S. (2012), A review on transit assignment modelling approaches to congested networks: a new perspective, Procedia – Social and Behavioral Sciences 54:1145-1155.
  135. Stathopoulos, A. & 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 46(10), pp. 1673-1689.
  136. Hess, S., Orr, S. & Sheldon, R. (2012), Consistency and Fungibility of Monetary Valuations in Transport, Transportation Research Part A 46(10), pp.1507-1516.
  137. Arellana, J., Daly, A.J., Hess, S., Ortúzar, J.de D. & Rizzi, L. (2012), Development of surveys for study of departure time choice, Transportation Research Record 2303, pp. 9-18.
  138. Hess, S. & Rose, J.M. (2012), Can scale and coefficient heterogeneity be separated in random coefficients models?, Transportation 39(6), pp. 1225-1239.
  139. Chorlton, K., Hess, S., Jamson, S. & Wardman, M. (2012), Deal or No Deal: Can Incentives Encourage Widespread Adoption of Intelligent Speed Adaptation Devices?, Accident Analysis & Prevention 48, pp. 73-82.
  140. Ben-Akiva, M., de Palma, A., McFadden, D., Abou-Zeid, M., Chiappori, P.A., de Lapparent, M., Durlauf, S., Fosgerau, M., Fukuda, D., Hess, S., Manski, C., Pakes, A., Picard, N. & Walker, J. (2012), Process and context in choice models, Marketing Letters 23(2), pp. 439-456.
  141. Hess, S. (2012), Rethinking heterogeneity: the role of attitudes, decision rules and data processing strategies, Transportation Letters 4(2), pp. 105-113.
  142. Hess, S., Hensher, D. & Daly, A.J. (2012), Not bored yet – revisiting respondent fatigue in stated choice experiments, Transportation Research Part A 46(3), pp. 626-644.
  143. Hess, S. & Beharry-Borg, N. (2012), Accounting for latent attitudes in willingness-to-pay studies: the case of coastal water quality improvements in Tobago, Environmental and Resource Economics 52(1), pp. 109-131.
  144. Daly, A.J., Hess, S. & de Jong, G. (2012), Calculating errors for measures derived from choice modelling estimates, Transportation Research Part B 46(2), pp. 333-341.
  145. Hess, S., Stathopoulos, A. & Daly, A.J. (2012), Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies, Transportation 39(3), pp. 565-591.
  146. Hess, S., Fowler, M., Adler, T. & Bahreinian, A. (2012), A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study, Transportation 39(3), pp. 593-625.
  147. Daly, A.J., Hess, S., Patruni, B., Potoglou, D. & Rohr, C. (2012), Using ordered attitudinal indicators in a latent variable choice model: A study of the impact of security on rail travel behaviour, Transportation 39(2), pp. 267-297.
  148. Daly, A.J., Hess, S. & Train, K.E. (2012), Assuring finite moments for willingness to pay in random coefficients models, Transportation 39(1), pp. 19-31.
  149. Collins, A., Rose, J.M. & Hess, S. (2012), Interactive stated choice surveys: a study of air travel behaviour, Transportation 39(1), pp. 55-79.
  150. Hess, S. & Train, K.E. (2011), Recovery of inter- and intra-personal heterogeneity using mixed logit models, Transportation Research Part B 45(7), pp. 973-990.
  151. Hess, S., Greene, E.R., Falzarano, C.S. & Muriello, M. (2011), Pay to drive in my bus lane: a stated choice analysis for the proposed Lincoln Tunnel HOT lane into Manhattan, Transport Policy 18(5), pp. 649-656.
  152. Hess, S. & Adler, T. (2011), An analysis of trends in air travel behaviour using four related SP datasets collected between 2000 and 2005, Journal of Air Transport Management 17(4), pp. 244-248.
  153. Fox, J. & Hess, S. (2010), Review of Evidence for Temporal Transferability of Mode-Destination Models, Transportation Research Record, 2175, pp. 74-83.
  154. Hess, S., Rose, J.M. & Polak, J.W. (2010), Non-trading, lexicographic and inconsistent behaviour in stated choice data, Transportation Research Part D, 15(7), pp. 405-417.
  155. Hess, S., Bolduc, D. & Polak, J.W. (2010), Random covariance heterogeneity in discrete choice models, Transportation, 37(3), pp. 391-411.
  156. Hess, S. (2010), Conditional parameter estimates from Mixed Logit models: distributional assumptions and a free software tool, Journal of Choice Modelling, 3(2), pp. 134-152.
  157. Hess, S. (2010), Evidence of passenger preferences for specific types of airports, Journal of Air Transport Management, 16(4), pp. 191-195.
  158. Hess, S. & Hensher, D.A. (2010), Using conditioning on observed choices to retrieve individual-specific attribute processing strategies, Transportation Research Part B, 44(6), pp. 781-790.
  159. Fosgerau, M. & Hess, S. (2009), A comparison of methods for representing random taste heterogeneity in discrete choice models, European Transport 42, pp. 1-25.
  160. Hess, S. & Rose, J.M. (2009), Allowing for intra-respondent variations in coefficients estimated on stated preference data, Transportation Research Part B, 43(6), pp. 708-719.
  161. Rose, J.M. & Hess, S. (2009), Dual response choices in pivoted stated choice experiments, Transportation Research Record 2135, pp. 25-33.
  162. Hess, S. & Rose, J.M. (2009), Should reference alternatives in pivot design SC surveys be treated differently?, Environmental and Resource Economics, 42(3), pp. 297-317.
  163. Bliemer, M.C.J., Rose, J.M. & Hess, S. (2008), Approximation of Bayesian Efficiency in Experimental Choice Designs, Journal of Choice Modelling, 1(1), pp. 98-127.
  164. Hess, S. (2008), Treatment of reference alternatives in SC surveys for air travel choice behaviour, Journal of Air Transport Management, 14(5), pp. 275-279.
  165. Hess, S., Erath, A. & Axhausen, K.W. (2008), Estimated Value of Savings in Travel Time in Switzerland: Analysis of Pooled Data, Transportation Research Record, 2082, pp.43-55.
  166. Hess, S., Smith, C., Falzarano, S. & Stubits, J. (2008), Managed-Lanes Stated Preference Survey in Atlanta, Georgia: Measuring Effects of Different Experimental Designs and Survey, Transportation Research Record, 2049, pp. 144-152.
  167. Hess, S., Rose, J.M. & Hensher, D.A. (2008), Asymmetric Preference Formation in Willingness to Pay Estimates in Discrete Choice Models, Transportation Research Part E, 44(5), pp. 847-863.
  168. Axhausen, K.W., Hess, S., König, A., Abay, G., Bates, J.J. & Bierlaire, M. (2008), Income and distance elasticities of values of travel time savings: New Swiss results, Transport Policy, 15(3), pp. 173-185.
  169. Hess, S., Bierlaire, M. & Polak, J.W. (2007), A systematic comparison of continuous and discrete mixture models, European Transport 37, pp. 35-61.
  170. Hess, S., Daly, A., Rohr, C. & Hyman, G. (2007), On the development of time period and mode choice models for use in large scale modelling forecasting systems, Transportation Research Part A 41(9), pp. 802-826.
  171. Hess, S. (2007), Posterior analysis of random taste coefficients in air travel choice behaviour modelling, Journal of Air Transport Management 13(4), pp. 203-212.
  172. Hess, S., Adler, T. & Polak, J.W. (2007), Modelling airport and airline choice behaviour with the use of stated preference survey data, Transportation Research Part E, 43, pp. 221-233.
  173. Hess, S., Polak, J.W., Daly, A.J. & Hyman, G. (2007), Flexible Substitution Patterns in Models of Mode and Time of Day Choice: New evidence from the UK and the Netherlands, Transportation, 34(2), pp.213-238.
  174. Hess, S. & Polak, J.W. (2006), Airport, airline and access mode choice in the San Francisco Bay area, Papers in Regional Science, 85(4), pp. 543-567.
  175. Hess, S., Train, K.E. & Polak, J.W. (2006), On the use of a Modified Latin Hypercube Sampling (MLHS) approach in the estimation of a Mixed Logit model for vehicle choice, Transportation Research Part B, 40(2), pp. 147-163.
  176. Hess, S. & Polak, J.W. (2006), Exploring the potential for cross-nesting structures in airport-choice analysis: a case-study of the Greater London area, Transportation Research Part E, 42, pp. 63-81.
  177. Hess, S. & Polak, J.W. (2005), Accounting for random taste heterogeneity in airport-choice modelling, Transportation Research Record, 1915, pp. 36-43.
  178. Bastin, F., Cirillo, C. & Hess, S. (2005), Evaluation of advanced optimisation methods for estimating Mixed Logit models, Transportation Research Record, 1921, pp. 35-43.
  179. Hess, S., Bierlaire, M. & Polak, J.W. (2005), Estimation of value of travel-time savings using Mixed Logit models, Transportation Research Part A, 39(2-3), pp. 221-236.
  180. Hess, S. & Polak J.W. (2005), Mixed Logit modelling of airport choice in multi-airport regions, Journal of Air Transport Management, 11(2), pp.59-68.
  181. Hess, S. (2004), An analysis of the effects of speed limit enforcement cameras with differentiation by road type and catchment area, Transportation Research Record, 1865, pp. 28-34.
  182. Hess, S. & Polak J.W. (2003), Effects of speed limit enforcement cameras on accident rates, Transportation Research Record, 1830, pp. 25-34.