Publications by Matthieu Marie Cochon de Lapparent

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

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

Variable Neighborhood Search for Assisted Utility Specification in Discrete Choice Models

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

CCSD2020

Operational route choice methodologies for practical applications

Michel Bierlaire, Evanthia Kazagli, Matthieu Marie Cochon de Lapparent

This paper focuses on the application of tractable route choice models and presents a set of methods for deriving relevant disaggregate and aggregate route choice indicators, namely link and route flows. Tractability is achieved at the disaggregate level b ...

2020

Multiclass Speed-Density Relationship for Pedestrian Traffic

Michel Bierlaire, Marija Nikolic, Riccardo Scarinci, Matthieu Marie Cochon de Lapparent

We introduce a probabilistic modeling approach for pedestrian speed density relationship. It is motivated by a high scatter in real data that precludes the use of traditional equilibrium relationships. To characterize the observed pattern, we relax the hom ...

INFORMS2019

Train timetable design under elastic passenger demand

Michel Bierlaire, Tomas Robenek, Shadi Sharif Azadeh, Matthieu Marie Cochon de Lapparent, Mohammad Yousef Maknoon

2018

Modeling purchases of new cars: an analysis of the 2014 French market

Michel Bierlaire, Anna Fernández Antolín, Matthieu Marie Cochon de Lapparent

2018

Professional cyclic high mobility: modelling state transitions

Vincent Kaufmann, Michel Bierlaire, Alexis Gumy, Emmanuel Pierre Jean Ravalet, Matthieu Marie Cochon de Lapparent

This paper aims to investigate the combination of exogenous and dynamic endogenous variables in professional high mobility patterns. It is based on a panel dataset of the Job Mobilities and Family Lives in Europe research project conducted between 2007 and ...

2017

Making land use Transport models operational tools for planning: From a top-down to an end-user approach

Matthieu Marie Cochon de Lapparent

Land Use and Transport Integrated models (LUTIs) are promising approaches for urban planning. There is large literature describing their technical architectures or using them in various scientific contexts. Yet little attention has been paid to expectation ...

Elsevier Sci Ltd2016

Probabilistic speed-density relationship for pedestrian traffic

Michel Bierlaire, Bilal Farooq, Marija Nikolic, Matthieu Marie Cochon de Lapparent

We propose a probabilistic modeling approach to represent the speed-density relationship of pedestrian traffic. The approach is data-driven, and it is motivated by the presence of high scatter in the raw data that we have analyzed. We show the validity of ...

Pergamon-Elsevier Science Ltd2016

Location choice with longitudinal WiFi data

Michel Bierlaire, Antonin Danalet, Loïc Tinguely, Matthieu Marie Cochon de Lapparent

Location-aware data collection technologies provide new insights about location choices. Only a few dynamic models of location choice exist in scientific literature. To our knowledge, none of them correct for serial correlation. In this paper, we model cho ...

University of Leeds2016

Analyzing time sensitivity in the Paris subway: an interval data model approach

Matthieu Marie Cochon de Lapparent

We analyze individual travel discomfort-time tradeoffs in the Paris subway using stated choice experiments. The survey design allows to set up in a willingness-to-pay space to estimate the distributions of elasticities of values of travel time to crowd den ...

Springer2016

Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data

Michel Bierlaire, Anna Fernández Antolín, Matthieu Marie Cochon de Lapparent

In this paper we extend the Multiple Indicator Solution (MIS) so that it can also be used to account for endogeneity when there are interactions between observed and unobserved factors in the specification of the utility function. We develop the theoretica ...

Elsevier Sci Ltd2016

Location Choice With Longitudinal Wifi Data: Research Data

Michel Bierlaire, Antonin Danalet, Loïc Tinguely, Matthieu Marie Cochon de Lapparent

This document describes the softwares, data, models and raw results associated to: Danalet, A., Tinguely, L., Lapparent, M. d. and Bierlaire, M. (2016). Location choice with longitudinal WiFi data, Journal of Choice Modelling 18: 1–17. URL: https://dx.doi. ...

2015

Risk and Uncertainty in Urban and Transport Economics

Matthieu Marie Cochon de Lapparent, Nathalie Picard

2015

A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles

Matthieu Marie Cochon de Lapparent

During the last 40 years, a large number of studies have analyzed car holding and use behavior. Most of these ignore the dynamics of household and driver needs that very likely drive such decisions. Our work builds up on a disaggregate (compensatory) appro ...

2015

Are French Households Car-Use Addicts? A microeconomic perspective

Matthieu Marie Cochon de Lapparent

This article presents a microeconometric analysis of household car use in France. To characterize car use dependence, the myopic and rational addiction models are estimated using panel data drawn from the French "Car Fleet" survey. Significantly, the assum ...

2015