52 citations · 87 across the 6 of their papers we have counts for
19 papers
Attitudes and Latent Class Choice Models using Machine learning
Lorena Torres Lahoz, Francisco Camara Pereira, Georges Sfeir +3
Latent Class Choice Models (LCCM) are extensions of discrete choice models (DCMs) that capture unobserved heterogeneity in the choice process by segmenting the population based on…
Choice modelling in the age of machine learning -- discussion paper
S. Van Cranenburgh, S. Wang, A. Vij +2
Since its inception, the choice modelling field has been dominated by theory-driven modelling approaches. Machine learning offers an alternative data-driven approach for modelling…
Population synthesis for urban resident modeling using deep generative models
Martin Johnsen, Oliver Brandt, Sergio Garrido +1
The impacts of new real estate developments are strongly associated to its population distribution (types and compositions of households, incomes, social demographics) conditioned…
On the Quality Requirements of Demand Prediction for Dynamic Public Transport
Inon Peled, Kelvin Lee, Yu Jiang +2
As Public Transport (PT) becomes more dynamic and demand-responsive, it increasingly depends on predictions of transport demand. But how accurate need such predictions be for effec…
Estimating Causal Effects with the Neural Autoregressive Density Estimator
Sergio Garrido, Stanislav S. Borysov, Jeppe Rich +1
Estimation of causal effects is fundamental in situations were the underlying system will be subject to active interventions. Part of building a causal inference engine is defining…
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach
Georges Sfeir, Maya Abou-Zeid, Filipe Rodrigues +2
This study presents a semi-nonparametric Latent Class Choice Model (LCCM) with a flexible class membership component. The proposed model formulates the latent classes using mixture…