Michel Bierlaire
Biographic Data
| ID | 6582344 |
|---|---|
| NAME | Michel Bierlaire |
| GIVEN NAMES | Michel |
| FAMILY NAME | Bierlaire |
| SIGNATURE | BIERLAIRE M |
| AFFILIATIONS | Ecole polytechnique fédérale de Lausanne |
| ORCID | 0000-0002-5275-7692 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Modeling disease spread: Integrating mobility, awareness, and behavior
The COVID-19 pandemic has underscored the vital link between epidemiology and transportation, particularly in the context of activity-travel behavior. While much research has explored the role of mobility in disease spread, there is a notable gap in understanding how individual behavioral choices, especially regarding testing, influence these dynamics. This paper introduces the mobility-aware behavioral epidemiological model (MABEM), an innovativ…
A new flexible multiple discrete–continuous extreme value (MDCEV) choice model: Exploring non-monotonic preference in time use decisions
New York, Abu Dhabi, London, or stay at home? Using a cross-nested logit model to identify complex substitution patterns in migration
We propose a cross-nested logit (CNL) approach to investigate how individuals adjust their migration decisions in response to changes in the global landscape. In contrast to the widely used logit model, the CNL enables more intricate substitution patterns among destinations. Leveraging migration aspiration data from India, we demonstrate that the CNL approach outperforms competing approaches in terms of model fit and predictive accuracy. It revea…
Estimating flexibility preferences to resolve temporal scheduling conflicts in activity-based modelling
This paper presents a novel activity-based demand model that combines an optimisation framework for continuous temporal scheduling decisions (i.e. activity timings and durations) with traditional discrete choice models for non-temporal choice dimensions (i.e. activity participation, number and type of tours, and destinations). The central idea of our approach is that individuals resolve temporal scheduling conflicts that arise from overlapping ac…
Price-based regulation of oligopolistic markets under discrete choice models of demand
We propose a framework to find optimal price-based policies to regulate markets characterized by oligopolistic competition and in which consumers make a discrete choice among a finite set of alternatives. The framework accommodates general discrete choice models available in the literature in order to capture heterogeneous consumer behavior. In our work, consumers are utility maximizers and are modeled according to random utility theory. Supplier…
Design and analysis of control strategies for pedestrian flows
Operational route choice methodologies for practical applications
A quasi-equilibrium approach for market clearing in land use microsimulations
A method for market clearing in land use models with a microsimulation approach for location choice of agents is proposed. The method, based on the Bid-auction theory and random utility models, assumes that agents individually adjust their perceived expected utility by observing market prices before entering auctions for a real estate good, hence modifying their overall willingness to pay for locations. The adjustment translates into a correction…
Mitigating the impact of errors in travel time reporting on mode choice modelling
An empirical comparison of travel choice models that capture preferences for compromise alternatives
Hybrid Choice Models: Progress and Challenges
Hybrid Choice Models: Progress and Challenges
An empirical comparison of travel choice models that capture preferences for compromise alternatives
Mitigating the impact of errors in travel time reporting on mode choice modelling
A quasi-equilibrium approach for market clearing in land use microsimulations
A method for market clearing in land use models with a microsimulation approach for location choice of agents is proposed. The method, based on the Bid-auction theory and random utility models, assumes that agents individually adjust their perceived expected utility by observing market prices before entering auctions for a real estate good, hence modifying their overall willingness to pay for locations. The adjustment translates into a correction…
Operational route choice methodologies for practical applications
Design and analysis of control strategies for pedestrian flows
Price-based regulation of oligopolistic markets under discrete choice models of demand
We propose a framework to find optimal price-based policies to regulate markets characterized by oligopolistic competition and in which consumers make a discrete choice among a finite set of alternatives. The framework accommodates general discrete choice models available in the literature in order to capture heterogeneous consumer behavior. In our work, consumers are utility maximizers and are modeled according to random utility theory. Supplier…
Estimating flexibility preferences to resolve temporal scheduling conflicts in activity-based modelling
This paper presents a novel activity-based demand model that combines an optimisation framework for continuous temporal scheduling decisions (i.e. activity timings and durations) with traditional discrete choice models for non-temporal choice dimensions (i.e. activity participation, number and type of tours, and destinations). The central idea of our approach is that individuals resolve temporal scheduling conflicts that arise from overlapping ac…
Modeling disease spread: Integrating mobility, awareness, and behavior
The COVID-19 pandemic has underscored the vital link between epidemiology and transportation, particularly in the context of activity-travel behavior. While much research has explored the role of mobility in disease spread, there is a notable gap in understanding how individual behavioral choices, especially regarding testing, influence these dynamics. This paper introduces the mobility-aware behavioral epidemiological model (MABEM), an innovativ…
A new flexible multiple discrete–continuous extreme value (MDCEV) choice model: Exploring non-monotonic preference in time use decisions
New York, Abu Dhabi, London, or stay at home? Using a cross-nested logit model to identify complex substitution patterns in migration
We propose a cross-nested logit (CNL) approach to investigate how individuals adjust their migration decisions in response to changes in the global landscape. In contrast to the widely used logit model, the CNL enables more intricate substitution patterns among destinations. Leveraging migration aspiration data from India, we demonstrate that the CNL approach outperforms competing approaches in terms of model fit and predictive accuracy. It revea…
Computer Science (10 works) · Econometrics (8 works) · Economics (8 works) · Economic and Environmental Valuation (6 works) · Engineering (6 works) · Mathematics (6 works) · Operations research (6 works) · Machine learning (5 works) · Transportation Planning and Optimization (5 works) · Discrete choice (4 works)