Developing new behavioural models at the intersection of psychology, econometrics and machine learning

Project Information

SYNERGY

Grant agreement ID: 101020940

DOI

10.3030/101020940

EC signature date 19 November 2021

Start date 1 February 2022

End date 31 January 2028

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 2 499 368,00

EU contribution

€ 2 499 368,00

Coordinated by

UNIVERSITY OF LEEDS
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (13)

Modelling time-of-travel preferences capturing correlations between departure times and activity durations

Author(s): Khatun E. Zannat, Charisma F. Choudhury, Stephane Hess
Published in: Transportation Research Part A: Policy and Practice, Issue 184, 2024, Page(s) 104081, ISSN 0965-8564
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.tra.2024.104081

Charging electric vehicles on long trips and the willingness to pay to reduce waiting for charging. Stated preference survey in Norway

Author(s): Frederik Solvi Hoen, Maria Diez-Gutierrez, Sahar Babri, Stephane Hess, Trude Torset
Published in: ScienceDirect, 2023, ISSN 0965-8564
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.tra.2023.103774

Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization

Author(s): Siqi Feng, Rui Yao, Stephane Hess, Ricardo A. Daziano, Timothy Brathwaite, Joan Walker, Shenhao Wang
Published in: Transportation Research Part C: Emerging Technologies, Issue 166, 2024, Page(s) 104767, ISSN 0968-090X
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trc.2024.104767

Can decision field theory enhance our understanding of health‐based choices? Evidence from risky health behaviors

Author(s): David A. J. Meester, Stephane Hess, John Buckell, Thomas O. Hancock
Published in: Health Economics, Issue 32, 2023, Page(s) 1710-1732, ISSN 1057-9230
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/hec.4685

Investigating the relative accuracy of GPS, GSM and CDR data for inferring spatiotemporal travel trajectories

Author(s): Khatun E. Zannat, Charisma F. Choudhury, Stephane Hess, David Watling
Published in: IET Intelligent Transport Systems, 2024, ISSN 1751-956X
Publisher: Institution of Engineering and Technology
DOI: 10.1049/itr2.12563

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?

Author(s): Péter Czine, Péter Balogh, Zsanett Blága, Zoltán Szabó, Réka Szekeres, Stephane Hess, Béla Juhász
Published in: Econometrics, Issue 12, 2024, Page(s) 22, ISSN 2225-1146
Publisher: MDPI
DOI: 10.3390/econometrics12030022

Can competing demands affect pro-environmental behaviour: a study of the impact of exposure to partly related sequential experiments

Author(s): Gloria Amaris, Stepan Vesely, Stephane Hess, Christian A. Klöckner
Published in: Ecological Economics, Issue 216, 2023, Page(s) 108023, ISSN 0921-8009
Publisher: Elsevier BV
DOI: 10.1016/j.ecolecon.2023.108023

Beyond discrete-choice options

Author(s): Amir Hosein Hadian Rasanan, Nathan J. Evans, Laura Fontanesi, Catherine Manning, Cynthia Huang-Pollock, Dora Matzke, Andrew Heathcote, Jörg Rieskamp, Maarten Speekenbrink, Michael J. Frank, Stefano Palminteri, Christopher G. Lucas, Jerome R. Busemeyer, Roger Ratcliff, Jamal Amani Rad
Published in: Trends in Cognitive Sciences, Issue 28, 2024, Page(s) 857-870, ISSN 1364-6613
Publisher: Elsevier BV
DOI: 10.1016/j.tics.2024.07.004

Do Human Reinforcement Learning Models Account for Key Experimental Choice Patterns in the Iowa Gambling Task

Author(s): Sherwin N.J., Amir Hosein Hadian Rasanan, Vahid Nejati, Jamal Amani Rad
Published in: Computational Brain & Behavior, 2024, ISSN 2522-087X
Publisher: Springer
DOI: 10.31219/osf.io/s549h

Estimating willingness-to-pay from discrete choice models: Setting the record straight

Author(s): Andrew Daly, Stephane Hess, Juan de Dios Ortúzar
Published in: Transportation Research Part A: Policy and Practice, Issue 176, 2023, Page(s) 103828, ISSN 0965-8564
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.tra.2023.103828

Decision field theory: An extension for real-world settings

Author(s): Thomas O. Hancock, Stephane Hess, Charisma F. Choudhury, Panagiotis Tsoleridis
Published in: Journal of Choice Modelling, Issue 52, 2024, Page(s) 100495, ISSN 1755-5345
Publisher: Elsevier BV
DOI: 10.1016/j.jocm.2024.100495

Comparing hundreds of machine learning and discrete choice models for travel demand modeling: An empirical benchmark

Author(s): Shenhao Wang, Baichuan Mo, Yunhan Zheng, Stephane Hess, Jinhua Zhao
Published in: Transportation Research Part B: Methodological, Issue 190, 2024, Page(s) 103061, ISSN 0191-2615
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trb.2024.103061

Accounting for continuous correlations among alternatives in the context of spatial choice modelling using high resolution mobility data

Author(s): Panagiotis Tsoleridis, Stephane Hess, Charisma F. Choudhury
Published in: Transportmetrica A: Transport Science, 2024, Page(s) 1-45, ISSN 2324-9935
Publisher: Taylor and Francis
DOI: 10.1080/23249935.2024.2401425