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Thomas Hancock
Thomas Hancock
Research Fellow, University of Leeds
Dirección de correo verificada de leeds.ac.uk - Página principal
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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
472018
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
162021
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
152020
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
112020
Travel behaviour modelling at the interface between econometrics and mathematical psychology
TO Hancock
University of Leeds, 2019
82019
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
72023
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
52021
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
52020
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
42023
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
32019
Quantum probability: a new method for modelling travel choices
TO Hancock, S Hess, CF Choudhury
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
22019
Incorporating response time in a decision field theory model
T Hancock, S Hess, C Choudhury
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
22018
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
22018
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
12024
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
12022
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
12022
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
12019
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
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Artículos 1–20