3 papers
econ.EM2026
Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
Georges Sfeir, Gabriel Nova, Stephane Hess +1
Large Language Models (LLMs) are becoming widely used to support various workflows across different disciplines, yet their potential in discrete choice modelling remains relatively…
cs.LG2025
A Bayesian latent class reinforcement learning framework to capture adaptive, feedback-driven travel behaviour
Georges Sfeir, Stephane Hess, Thomas O. Hancock +5
Many travel decisions involve a degree of experience formation, where individuals learn their preferences over time. At the same time, there is extensive scope for heterogeneity ac…
physics.soc-ph2025
Choice Sets and Smart Card Data In Public Transport Route Choice Models: Generated vs. Empirical Sets
Georges Sfeir, Filipe Rodrigues, Ravi Seshadri +1
This study evaluates path sets generation for route choice models in multimodal public transportation networks, using both conventional (network algorithms) and empirical (smart ca…