Publications de Nicola Marco Ortelli

Public transport and (shared) bikes: intermodal transfer penalties from a stated-preference survey in Geneva

Vincent Kaufmann, Emmanuel Pierre Jean Ravalet, Yann Francis Eric Dubois, Nicola Marco Ortelli, Eloi Antoine Maël Bernier

In recent years, the emergence of shared mobility services has created new opportunities for more flexible intermodal travel, but the behavioral barriers to their adoption remain poorly understood. Using stated-preference data collected in 2024 in Geneva, ...

STRC2025

A conditional trust-region algorithm for the estimation of discrete choice models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

2024

Resampling estimation of discrete choice models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

In the context of discrete choice modeling, the extraction of potential behavioral insights from large datasets is often limited by the poor scalability of maximum likelihood estimation. This paper proposes a simple and fast dataset-reduction method that i ...

2024

Discrete choice modeling in the era of big data

Nicola Marco Ortelli

The technological advancements of the past decades have allowed transforming an increasing part of our daily actions and decisions into storable data, leading to a radical change in the scale and scope of available data in relation to virtually any object ...

EPFL2024

An integrated accident injury severity and risk-taking behavior model for the evaluation of Via Sicura

Michel Bierlaire, Silvia Francesca Varotto, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

2024

Stochastic adaptive resampling for the estimation of discrete choice models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

In the field of choice modeling, the availability of ever-larger datasets has the potential to significantly expand our understanding of human behavior, but this prospect is limited by the poor scalability of discrete choice models (DCMs): as sample sizes ...

2023

Faster estimation of discrete choice models via weighted dataset reduction

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

2023

Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models

Michel Bierlaire, Nicola Marco Ortelli

Specifying utility functions is a key step towards applying the discrete choice framework for understanding the behaviour processes that govern user choices. However, identifying the utility function specifications that best model and explain the observed ...

IEEE Institute of Electrical and Electronics Engineers2022

Assisted specification of discrete choice models

Michel Bierlaire, Nicola Marco Ortelli, Timothy Michael Hillel

Determining appropriate utility specifications for discrete choice models is time-consuming and prone to errors. With the availability of larger and larger datasets, as the number of possible specifications exponentially grows with the number of variables ...

ELSEVIER SCI LTD2021

Variable Neighborhood Search for Assisted Utility Specification in Discrete Choice Models

Michel Bierlaire, Nicola Marco Ortelli, Matthieu Marie Cochon de Lapparent

CCSD2020