Decision field theory: Improvements to current methodology and comparisons with standard choice modelling techniques TO Hancock, S Hess, CF Choudhury Transportation Research Part B: Methodological 107, 18-40, 2018 | 49 | 2018 |
An accumulation of preference: two alternative dynamic models for understanding transport choices TO Hancock, S Hess, AAJ Marley, CF Choudhury Transportation Research Part B: Methodological 149, 250-282, 2021 | 19 | 2021 |
Quantum probability: A new method for modelling travel behaviour TO Hancock, J Broekaert, S Hess, CF Choudhury Transportation Research Part B: Methodological 139, 165-198, 2020 | 17 | 2020 |
Quantum choice models: A flexible new approach for understanding moral decision-making TO Hancock, J Broekaert, S Hess, CF Choudhury Journal of choice modelling 37, 100235, 2020 | 12 | 2020 |
Travel behaviour modelling at the interface between econometrics and mathematical psychology TO Hancock University of Leeds, 2019 | 8 | 2019 |
Agent-based models in urban transportation: review, challenges, and opportunities FF Bastarianto, TO Hancock, CF Choudhury, E Manley European Transport Research Review 15 (1), 19, 2023 | 7 | 2023 |
What is really uncovered by mixing different model structures: contrasts between latent class and model averaging TO Hancock, S Hess European Journal of Transport and Infrastructure Research 21 (3), 38-63, 2021 | 5 | 2021 |
Using a sequential latent class approach for model averaging: Benefits in forecasting and behavioural insights TO Hancock, S Hess, A Daly, J Fox Transportation Research Part A: Policy and Practice 139, 429-454, 2020 | 5 | 2020 |
Utilising physiological data for augmenting travel choice models: methodological frameworks and directions of future research TO Hancock, CF Choudhury Transport reviews 43 (5), 838-866, 2023 | 4 | 2023 |
Theoretical considerations for a dynamic model for dynamic data: bridging choice modelling with mathematical psychology. TO Hancock, S Hess, CF Choudhury International Choice Modelling Conference 2019, 2019 | 3 | 2019 |
Influence of perceived risk on travel mode choice during Covid-19 Y Wang, C Choudhury, TO Hancock, Y Wang, J de Dios Ortúzar Transport Policy 148, 181-191, 2024 | 2 | 2024 |
Quantum probability: a new method for modelling travel choices TO Hancock, S Hess, CF Choudhury Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | 2 | 2019 |
Incorporating response time in a decision field theory model T Hancock, S Hess, C Choudhury Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 2 | 2018 |
A Comparison of the Suitability of Accumulation Models in Travel Behavior Modeling T Hancock, S Hess, C Choudhury Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 2 | 2018 |
Secret in Their Eyes': Incorporating Eye-Tracking and Stress Indicator Data into Travel Behaviour Models TO Hancock, CF Choudhury, S Hess Available at SSRN 4129033, 2022 | 1 | 2022 |
New models for dynamic choice contexts: Steps towards bridging choice modelling with mathematical psychology TO Hancock, S Hess, CF Choudhury Available at SSRN 4186582, 2022 | 1 | 2022 |
A careful respondent or an uncertain response: Disentangling confounding sources of increased deliberation time using decision field theory TO Hancock, S Hess, CF Choudhury Working paper, Institute for Transport Studies, University of Leeds, 2019 | 1 | 2019 |
Decision field theory: an extension for real-world settings TO Hancock, S Hess, CF Choudhury, P Tsoleridis | 1* | |
Can decision field theory enhance our understanding of health‐based choices? Evidence from risky health behaviors DAJ Meester, S Hess, J Buckell, TO Hancock Health Economics 32 (8), 1710-1732, 2023 | | 2023 |
Random Utility Maximisation Model Considering the Information Search Process G Nova, A Guevara, S Hess, TO Hancock Available at SSRN 4608477, 2023 | | 2023 |