Related publications (74)

Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations

Michel Bierlaire, Evanthia Kazagli

We present a new approach for modeling and analyzing route choice behavior. It is motivated by the need to reduce the complexity of the state-of-the-art choice models. It is inspired by the simplifications done by the travelers, using representations of th ...
2015

Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations

Michel Bierlaire, Gunnar Flötteröd, Evanthia Kazagli

We present a new approach for modeling and analyzing route choice behavior. It is motivated by the need to reduce the complexity of the state-of-the-art choice models. It is inspired by the simplifications done by the travelers, using representations of th ...
2015

Forecasting the demand for electric vehicles: accounting for attitudes and perceptions

Michel Bierlaire, Michaël Clément Louis Ghislain Thémans, Aurélie Glerum, Lidija Stankovikj

In the context of the arrival of electric vehicles on the car market, new mathematical models are needed to understand and predict the impact on the market shares. This research provides a comprehensive methodology to forecast the demand of a technology wh ...
Informs2014

Integrating psychometric indicators in latent class choice models

Michel Bierlaire, Ricardo Daniel Hurtubia González, Aurélie Glerum, My Hang Nguyen

Latent class models are a convenient and intuitive way to introduce taste heterogeneity in discrete choice models by relating attributes of the decision makers with unobserved behavioral classes, hence allowing for a more accurate market segmentation. Esti ...
Pergamon-Elsevier Science Ltd2014

A multi criteria group decision making approach for collaborative software selection problem

Naoufel Cheikhrouhou

Today, operational managers are experiencing difficulties in selecting the software that best suits their increasing number of requirements. These decision makers need to clarify what their needs are, what these packages offer and which software packages b ...
Ios Press2014

Revealed preference data from WiFi traces for pedestrian activity scheduling

Michel Bierlaire, Bilal Farooq, Antonin Danalet

We use communication network infrastructure, in particular WiFi traces, to detect activity-episodes sequences in a pedestrian facility. Due to the poor quality of WiFi localization, a probabilistic method is proposed that infers activity-episodes locations ...
2013

Essays on asset pricing with preference heterogeneity

Giuliano Antonio Curatola

Investors' inheterogeneity is one of the prevailing features on financial markets. Thus, the recent asset pricing literature has produced a number of general equilibrium models where agents have different preferences. This thesis analyzes the effect of pre ...
EPFL2013

Within Individual Variation in Preferences: Equity Effects of Congestion Charges

Michel Bierlaire

The purpose of this research was to explore how the values of travel time (VTT) and preferences for different modes vary within individuals compared with the variation between observed trips. With 6-week revealed preference panel data and stated preference ...
National Academy of Sciences2013

Early Decision Support for Net Zero Energy Buildings Design using Performance Simulation

Shady Galal Mohamed Attia

This paper aims to investigate the use of building performance simulation tools as a method of informing the design decision of NZEBs. The aim of this study is to evaluate the effect of a simulation-based decision aid, ZEBO, on informed decision-making usi ...
2013

Integrating psychometric indicators in latent class choice models

Michel Bierlaire, Ricardo Daniel Hurtubia González, Aurélie Glerum, My Hang Nguyen

Latent class models are a convenient and intuitive way to introduce taste heterogeneity in discrete choice models by relating attributes of the decision makers with unobserved behavioral classes, hence allowing for a more accurate market segmentation. Esti ...
2013

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