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Uncovering substitution patterns in new car sales using a cross nested logit model

Related publications (45)

Sampling of alternatives in migration aspiration models

The use of discrete choice models (DCMs) is a regular approach to investigating migration aspirations concerning destination choices. However, given the complex substitution patterns between destinations, more advanced model specifications than the multino ...

2023

Robust discrete choice models with t-distributed kernel errors

Michel Bierlaire, Thomas Gasos, Prateek Bansal

Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling assumptions (e.g. random utility maximisation). In the presence of outliers, ...

2023

Ride-sourcing fleet rebalancing with proactive and targeted pricing

Nikolaos Geroliminis, Min Ru Wang

This work studies the role of proactive and targeted ride-splitting incentives on the service level and total revenue of a ride-sourcing platform, which is built as a discrete event simulator that incorporates simulated taxi data within a congestible road ...

2022

Enhancing discrete choice models with representation learning

Alexandre Massoud Alahi, Virginie Janine Camille Lurkin

In discrete choice modeling (DCM), model misspecifications may lead to limited predictability and biased parameter estimates. In this paper, we propose a new approach for estimating choice models in which we divide the systematic part of the utility specif ...

2020

A general framework for the integration of complex choice models into mixed integer optimization

Meritxell Pacheco Paneque

The objective of this thesis is to develop a general methodology to incorporate a disaggregate demand representation in supply-oriented optimization problems that allows to capture the interplay between the behavior of individuals and the decisions to be o ...

EPFL2020

Demand Estimation for an eVTOL Commuting Service

Urban Air Mobility offers today interesting characteristics to disrupt the transportation industry and to become one its driving forces. In this report, we examine and compare the potential market size of a commuting service operated by electric vertical t ...

2020

Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation

Robert West, Eda Bayram, Alberto Garcia Duran

The existing literature on knowledge graph completion mostly focuses on the link prediction task. However, knowledge graphs have an additional incompleteness problem: their nodes possess numerical attributes, whose values are often missing. Our approach, d ...

2020

Accounting for Price Endogeneity in Airline Itinerary Choice Models: An Application to Continental U.S. Markets

Virginie Janine Camille Lurkin, Jeffrey Newman

Network planning models, which forecast the profitability of airline schedules, support many critical decisions, including equipment purchase decisions. Network planning models include an itinerary choice model that is used to allocate air total demand in ...

Pergamon-Elsevier Science Ltd2017

Correcting for endogeneity using the multiple indicator solution

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

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

2016

Train Timetable Design Under Elastic Passenger Demand

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

We integrate a probabilistic demand model in the train timetabling problem. We use a logit model that we calibrate to reflect the known demand elasticities. We further include a competing operator as an opt-out option for the passengers. Subsequently, we i ...

2016

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