Publications related to Ride-sourcing fleet rebalancing with proactive and targeted pricing

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

Space allocation for multi-modal urban networks with ridesplitting services and public transport

Nikolaos Geroliminis, Lynn Fayed

The surge of Mobility on Demand (MoD) is largely attributed to advancements in mobile internet and technology. Ridesourcing platforms, among other solution services, offer convenience and flexibility when it comes to pick-up/drop-off time and location, all ...

The National Academies of Sciences, Engineering, and Medicine2022

Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity

Michel Bierlaire, Prateek Bansal

Mixed logit models with unobserved inter-and intra-individual heterogeneity hierarchically extend standard mixed logit models by allowing tastes to vary randomly both across individuals and across choice situations encountered by the same individual. Recen ...

ELSEVIER SCI LTD2021

A Simulation-Based Heuristic to Find Approximate Equilibria with Disaggregate Demand Models

Michel Bierlaire, Virginie Janine Camille Lurkin, Stefano Bortolomiol

Oligopolistic competition occurs in various transportation markets. In this paper, we introduce a framework to find approximate equilibrium solutions of oligopolistic markets in which demand is modeled at the disaggregate level using discrete choice models ...

INFORMS2021

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

On the usefulness of mixed logit models with unobserved inter-and intra-individual heterogeneity

Michel Bierlaire, Prateek Bansal

Mixed logit models with unobserved inter- and intra-individual heterogeneity hierarchically extend standard mixed logit models by allowing tastes to vary randomly both across individuals as well as across choice tasks encountered by the same individual. Re ...

EPFL2020

Robust discrete choice models with t-distributed kernel errors

Michel Bierlaire, Thomas Gasos, Prateek Bansal

Models that are robust to aberrant choice behaviour have received limited attention in discrete choice analysis. In this paper, we analyse two robust alternatives to the multinomial probit (MNP) model. Both alternative models belong to the family of robit ...

EPFL2020

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

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Ride-sourcing fleet rebalancing with proactive and targeted pricing

Sampling of alternatives in migration aspiration models

Space allocation for multi-modal urban networks with ridesplitting services and public transport

The role of ride-split revenue optimization on service level and traffic operation

Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity

A Simulation-Based Heuristic to Find Approximate Equilibria with Disaggregate Demand Models

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

Enhancing discrete choice models with representation learning

On the usefulness of mixed logit models with unobserved inter-and intra-individual heterogeneity

Robust discrete choice models with t-distributed kernel errors

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

Graph Chatbot

Chat with Graph Search

Space allocation for multi-modal urban networks with ridesplitting services and public transport

The role of ride-split revenue optimization on service level and traffic operation

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

Enhancing discrete choice models with representation learning

Robust discrete choice models with t-distributed kernel errors

A Simulation-Based Heuristic to Find Approximate Equilibria with Disaggregate Demand Models

Evaluating the predictive abilities of mixed logit models with unobserved inter- and intra-individual heterogeneity

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

Sampling of alternatives in migration aspiration models

On the usefulness of mixed logit models with unobserved inter-and intra-individual heterogeneity