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Thomas Hancock
Thomas Hancock
Research Fellow, University of Leeds
Email verificata su leeds.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
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
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
Travel behaviour modelling at the interface between econometrics and mathematical psychology
TO Hancock
University of Leeds, 2019
72019
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
32023
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
22019
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
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*
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
2024
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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