I am a Research Fellow at the Institute for Transport Studies and Choice Modelling Centre.
My main areas of interest are:
Understanding the decision-making process
The integration of (econometric) choice modelling and mathematical psychology
Model specification and interpretation
Moral choice behaviour
My work thus far has focussed on the implementation of decision field theory and ideas from quantum cognition within choice modelling.
Address: Institute for Transport Studies, University of Leeds, 34-40 University Road, Leeds LS2 9JT
Email: T.O.Hancock@leeds.ac.uk
A copy of my CV
TR, Physiological data review (Hancock, Choudhury [2023]).pdf[7] Hancock, T.O. & Choudhury, C.F. (2023), Utilising physiological data for augmenting travel choice models: methodological frameworks and directions of future research. Transport Reviews, DOI:10.1080/ 01441647.2023.2175274.
EJTIR, Model averaging heterogeneity (Hancock, Hess [2021]).pdf[6] Hancock, T.O. & 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, Issue 21(3), 38-63.
TR_B, DFT & MLBA (Hancock, Hess, Marley, Choudhury [2021]).pdf[5] Hancock, T.O., Hess, S., Marley, A.A.J. & Choudhury, C.F. (2021), An accumulation of preference: Two alternative dynamic models for understanding transport choices Transportation Research Part B: Methodological, 149, pp. 250-282.
TR_A, Model averaging (Hancock, Hess, Daly, Fox [2020]).pdf[4] Hancock, T.O., Hess, S., Daly, A. & Fox, J. (2020), Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights. Transportation Research Part A: Policy and Practic, 139, pp. 429-454.
JoCM, Moral quantum (Hancock, Broekaert, Hess, Choudhury [2020]).pdf[3] Hancock, T.O., Broekaert, J., Hess, S. & Choudhury, C.F. (2020), Quantum choice models: A flexible new approach for understanding moral decision-making, Journal of Choice Modelling, 37, 100235.
TR_B, Quantum (Hancock, Broekaert, Hess, Choudhury [2020]).pdf[2] Hancock, T.O., Broekaert, J., Hess, S. & Choudhury, C.F. (2020), Quantum probability: A new method for modelling travel behaviour. Transportation Research Part B: Methodological, 139, pp. 165-198.
TR_B, DFT (Hancock, Hess, Choudhury [2019]).pdf[1] 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: Methodological, 107, pp. 18-40.
02/2022 - Present Faza Bastarianto (ITS Leeds, Co-supervisor): Modelling commuters’ activity-travel behaviour in a large urban agglomeration area in the Global South.
03/2021 - Present Yu Wang (ITS Leeds, Co-supervisor): Using multiple sources of data to understand travellers’ heterogeneous preferences and develop differentiated policies.
[K1] Travel behaviour modelling at the interface between econometrics and mathematical psychology, Eric Pas Award Plenary, IATBR 2022 (Chile)
[S6] Don’t put all your eggs in one basket: the benefits of a sequential latent class approach for model averaging (September 2021), TU Delft (Netherlands)
[S5] Quantum choice models for capturing changes in choice contexts (video link, September 2021), O.P. Jindal Global University (India)
[S4] Introducing quantum probability to large-scale travel behaviour modelling (March 2021), O.P. Jindal Global University (India)
[S3] Decision field theory for choices in real-world settings (November 2020), University of Basel (Switzerland).
[S2] Quantum probability: a new method for modelling travel choices (December 2018), University of Stirling (UK).
[S1] Decision field theory: improvements to current methodology and contrasts with standard choice modelling techniques (April 2017), KU Leuven (Belgium).
The 2019 Eric Pas award, awarded by the International Association for Travel Behaviour Research (IATBR) for the best PhD dissertation in travel behaviour research, for my thesis entitled "Travel behaviour modelling at the interface between econometrics and mathematical psychology”.
Best student-led paper, 5th International Choice Modelling Conference.
Hancock, T.O., Hess, S. and Choudhury, C.F. (2017), Decision field theory: improvements to current methodology and contrasts with standard choice modelling techniques.
Award for the most innovative application of choice modelling named in honour of Andrew Daly, 6th International Choice Modelling Conference.
Hancock, T.O., Hess, S. and Choudhury, C.F. (2019), Quantum rotation: a new method for capturing a change of perspective.
The inaugural David A. Hensher ‘Best Transport Demand Modelling Paper Prize’ at ATRF 2021. Hancock, T.O., Hess, S., Choudhury, C.F. & Tsoleridis, P. (2021), Decision field theory: an extension for real-world settings.
2022 (ITS, Leeds) Hugo Irving (Lead supervisor): Autonomous vehicles and ethical decision-making: should the public decide?
2022 (ITS, Leeds) Ru Ya (Lead supervisor): What factors drive people to choose certain modes of transport including existing and emerging ones in China?
2022 (ITS, Leeds) Azam Ali (2nd reader): Modelling time use during the Covid-19 pandemic using econometric and machine learning algorithms.
2021 (NDPH, Oxford) David Meester (Co-supervisor): Decision field theory for understanding health economic choice behaviour. An application to a discrete choice experiment of tobacco preferences.
2021 (ITS, Leeds) Yutian Miao (Lead supervisor): A review of the use of gender differences in travel behaviour models.
2021 (ITS, Leeds) Fan Wang (2nd reader): Activity-based mode choice model: A case study from China.
2020 (ITS, Leeds) Ching Lin (2nd reader): Putting gender in the picture of quantitative transport studies - Gender differences in commute distance and mode choice in modern Netherlands.
01/2023 – Present Tutor, HERC University of Oxford, Course on Understanding and predicting choice behaviour in health.
07/2021 – Present Assistant, Choice Modelling Centre, CPD courses.
01/2018 - Present Module assistant, TRAN5282M- Choice Modelling and Stated Preference Survey Design.
01/2019 - 05/2019 Module assistant, LUBS1270- Statistics for Business and Economics.
I completed my thesis entitled “Travel behaviour modelling at the interface between econometrics and mathematical psychology” in June 2019 at ITS under the supervision of Prof. Stephane Hess and Dr. Charisma Choudhury.
A presentation on some of the work I completed in my thesis (link on image):
HESG Winter 2023, Health Economists’ Study Group Winter 2023 meeting, Manchester (UK):
[C39] Buckell, J., Wreford, A., Quaife, M., & Hancock, T.O.
Do conventional approaches to modelling health preference distributions suffice? Model averaging of random preference heterogeneity representations in discrete choice models.
TRB 2023, the 101st Annual Meeting of the Transportation Research Board, Washington D.C. (USA):
[C38] Bastarianto, F.F., Hancock, T.O., Choudhury, C.F. & Manley, E.
Agent-based models: Review, challenges, and opportunities for urban transport research.
[C37] Nova, G.A., Guevara, C.A., Hess, S. & Hancock, T.O.
RUM-DFT: Random utility maximization model considering the information search process.
[C36] Song, F., Hancock, T.O., Kalatian, A. & Choudhury, C.F.
The geography of thoughts: Investigating the heterogeneity in the context of preferences towards new transport modes around the world.
IATBR 2022, the 16th International Conference on Travel Behaviour Research, Santiago (Chile):
[C35] Hancock, T.O., Choudhury, C.F., Hess, S. & Tsoleridis, P.
Implementing psychological choice models on real-world data: Theoretical extensions for Decision Field Theory.
[C34] Hancock, T.O., Song, F., Kalatian, A. & Choudhury, C.F.
Investigating the sources of heterogeneity in the context of preferences towards new transport modes.
[C33] Hess, S., Hancock, T.O., Choudhury, C.F., Mushtaq, F., Mon Williams, M., Bliemer, M., Beck, M. & Fayyaz, M.
Using a mathematical representation of brain processes to explain decision making: Adapting the free energy/active inference principle for travel behaviour modelling.
BTR 2022, Bridging Transportation Researchers Online Conference #3 (held online):
[C32] Hancock, T.O., Hess, S., Choudhury, C.F. & Tsoleridis, P.
Decision field theory: an extension for real-world settings (video link).
[C31] Bastarianto, F.F., Choudhury, C.F., Manley, E. & Hancock, T.O.
Challenges and opportunities of agent-based models in urban transportation research: A systematic literature review using bibliometric and content analysis (video link).
[C30] Wang, Y., Choudhury, C.F., Hancock, T.O., Wang, Y. & Ortúzar, J. de D.
A hybrid multiple discrete continuous model to capture risk perception and travel mode choice during the Covid-19 pandemic (video link).
ResCompLeedsCon2022, Research Computing Leeds Conference 2022, Leeds (UK):
[C29] Hancock, T.O.
Faster estimation of choice models using High Performance Computing.
ICMC 2022, the 7th International Choice Modelling Conference, Reykjavik (Iceland):
[C28] Song, F., Hancock, T.O., Kalatian, A. & Choudhury, C.F.
Accounting for the global heterogeneity in attitudes and perceptions towards new alternatives in mode choice models.
[C27] Meester, D., Hess, S., Buckell, J. & Hancock, T.O.
Extensions of Decision Field Theory: application to health economics, taste heterogeneity, and decision rule heterogeneity.
[C26] Hancock, T.O., Hess, S., & Choudhury, C.F.
Is your model the best? Mitigating risk through averaging across different analysts’ competing models.
[C25] Hancock, T.O., Choudhury, C.F., Walker, J. & Hess, S.
Quantum choice models leap out of the laboratory: capturing real-world behavioural change.
[C24] Hess, S., Hancock, T.O., Choudhury, C.F., Mushtaq, F., Mon-Williams, M., Bliemer, M., Beck, M. & Fayyaz, M.
Using a mathematical representation of brain processes to explain choices: introducing the free energy principle to mainstream choice modelling.
HTA 2022, R for Health Technology Assessment workshop, Oxford (UK):
[C23] Hancock, T.O.
Simulating choice behaviour using R: what does my model actually capture?
TRB 2022, the 101st Annual Meeting of the Transportation Research Board, Washington D.C. (USA):
[C22] Hancock, T.O. & Choudhury, C.F.
Utilising physiological data for augmenting travel behaviour models: methodological frameworks and directions of future research.
HESG Winter 2022, Health Economists’ Study Group Winter 2022 meeting, Leeds (UK):
[C21] Meester, D., Buckell, J. & Hancock, T.O.
Decision field theory for understanding health economic choice behaviour.
ATRF 2021, the 42nd Australasian Transport Research Forum, Brisbane (Australia, hybrid conference):
[C20] Hancock, T.O., Hess, S., Choudhury, C. & Tsoleridis, P.
Decision field theory: an extension for real world settings.
SPUDM 2021, the 28th Biennial SPUDM (Subjective Probability, Utility and Decision Making) Conference, Warwick (held online):
[C19] Hancock, T.O., Choudhury, C.F. & Hess, S.
`Secret in their eyes': Incorporating eye-tracking information into psychological and econometric choice models.
BTR 2021, Bridging Transportation Researchers Online Conference #3 (held online):
[C18] Hancock, T.O., Choudhury, C.F. & Hess, S.
'Their eyes gave them away': Incorporating eye-tracking & stress indicator data into psychological & econometric choice models (video link).
TRB 2020, the 99th Annual Meeting of the Transportation Research Board, Washington D.C. (USA):
[C17] Hancock, T.O., Hess, S. & Choudhury, C.F.
A Decision field theory model for dynamic choice contexts: further steps towards bridging choice modelling with mathematical psychology.
[C16] Hancock, T.O., Hess, S. & Choudhury, C.F.
Quantum rotation: a new method for capturing a change of perspective.
ICMC 2019, the 6th International Choice Modelling Conference, Kobe (Japan):
[C15] Hancock, T.O., Hess, S. & Choudhury, C.F.
Quantum rotation: a new method for capturing a change of perspective.
[C14] Hess, S. & Hancock, T.O.
Identification and interpretation of process parameters in mathematical psychology models.
[C13] Hancock, T.O., Hess, S., Choudhury, C.F. & Bogacz, M.
Theoretical considerations for a dynamic model for dynamic data: bridging choice modelling with mathematical psychology.
EMPG 2019, the 50th Annual Meeting of the European Mathematical Psychology Group, Heidelberg (Germany):
[C12] Hancock, T.O., Hess, S. & Choudhury, C.F.
Quantum rotation: a new method for capturing a change of perspective.
TRB 2019, the 98th Annual Meeting of the Transportation Research Board, Washington D.C. (USA):
[C11] Hancock, T.O., Hess, S. Daly, A. & Fox, J.
Model averaging: revisiting our approach to decision rule heterogeneity and improving our travel behaviour models.
[C10] Hancock, T.O., Hess, S. & Choudhury, C.F.
Quantum probability: a new method for modelling travel choices.
IATBR 2018, the 15th International Conference on Travel Behaviour Research, Santa Barbara (USA):
[C9] Hancock, T.O., Hess, S. Daly, A. & Fox, J.
Model averaging: revisiting our approach to decision rule heterogeneity and reinterpreting the results of latent class models.
[C8] Hancock, T.O., Hess, S. & Choudhury, C.F.
Quantum probability: a new method for considering travel choices.
TRB 2018, the 97th Annual Meeting of the Transportation Research Board, Washington D.C. (USA):
[C7] Hancock, T.O., Hess, S. & Choudhury, C.F.
A comparison of the suitability of accumulation models in travel behaviour modelling.
[C6] Hancock, T.O., Hess, S. & Choudhury, C.F.
Incorporating response time in a decision field theory model.
MathPsych/ICCM 2017, the 50th Annual Meeting of the Society for Mathematical Psychology, Warwick (UK):
[C5] Hancock, T.O., Hess, S. & Choudhury, C.F.
Improving decision field theory for consumer choice modelling applications.
WRDTC 2017, the 6th Annual Conference of the White Rose Doctoral Training Centre, University of Sheffield (UK):
[C4] Hancock, T.O., Hess, S. & Choudhury, C.F.
Improving decision field theory for consumer choice modelling applications.
ICMC 2017, the 5th International Choice Modelling Conference, Cape Town (South Africa):
[C3] Hancock, T.O., Hess, S. & Choudhury, C.F.
Decision field theory: improvements to current methodology and contrasts with standard choice modelling techniques.
TRB 2017, the 96th Annual Meeting of the Transportation Research Board, Washington D.C. (USA):
[C2] Hancock, T.O., Hess, S. & Choudhury, C.F.
Expanding the capabilities of decision field theory to complement random utility models of travel mode.
hEART 2016, the 5th Symposium of the European Association for Research in Transportation, Delft (Netherlands):
[C1] Hancock, T.O., Hess, S. & Choudhury, C.F.
Incorporating irrationalities in decision making into choice modelling: going beyond small changes from the tried and tested.
[AP4] An overview of quantum-like behavioural choice models (December 2021), JSGP 1ST Annual Conference on Economics and Public Policy (video link)
[AP3] Travel behaviour modelling at the interface between econometrics and mathematical psychology (June 2021), IATBR online seminar series (video link).
[AP2] Introducing quantum-like modelling into large-scale choice modelling (October 2020), O.P. Jindal Global University, Virtual panel discussion on quantum social science and public policy (video link).
[AP1] Using decision field theory models in transport modelling: how far have we got and what can we do next? (December 2018), University of Leeds, Internal seminar (video link).