Matthieu de Lapparent

Journal publications [12]

2024

Ortelli N., de Lapparent M., Bierlaire M. (2024). Resampling Estimation of Discrete Choice Models. Journal of Choice Modelling 50 (100467)

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 is specifically designed to preserve the richness of observations originally present in a dataset, while reducing the computational complexity of the estimation process. Our approach, called LSH-DR, leverages locality-sensitive hashing to create homogeneous clusters, from which representative observations are then sampled and weighted. We demonstrate the efficacy of our approach by applying it on a real-world mode choice dataset: the obtained results show that the samples generated by LSH-DR allow for substantial savings in estimation time while preserving estimation efficiency at little cost.
```
@Article{OrteLappBier2024,
  author = {Nicola Ortelli and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Resampling Estimation of Discrete Choice Models},
  journal = {Journal of Choice Modelling},
  year = {2024},
  volume = {50},
  number = {100467},
  DOI = {10.1016/j.jocm.2023.100467},
  note = {Accepted on Dec 20, 2023}}}
```

2021

Ortelli N., Hillel T., Pereira F., de Lapparent M., Bierlaire M. (2021). Assisted Specification of Discrete Choice Models. Journal of Choice Modelling 39 (100285)

Determining appropriate utility specifications for discrete choice models is time-consuming and prone to errors. As the number of possible functions exponentially grows with the vari- ables under consideration, analysts need to spend increasing amounts of time on searching for good specifications through trial-and-error and expert knowledge. This paper proposes a data-driven algorithm that aims at assisting modelers in their search. Our approach trans- lates the task into a multi-objective combinatorial optimization problem and makes use of a variant of the variable neighborhood search algorithm to generate solutions. We apply the algorithm to a real mode choice dataset as a proof of concept. The results demonstrate its ability to generate high-quality specifications in reasonable amounts of time.
```
@Article{OrteHillCamadeLaBier21,
  author = {Nicola Ortelli and Tim Hillel and Francisco Pereira and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Assisted Specification of Discrete Choice Models},
  journal = {Journal of Choice Modelling},
  year = {2021},
  volume = {39},
  number = {100285},
  DOI = {10.1016/j.jocm.2021.100285},
  note = {Accepted on Mar 16, 2021}}}
```

2018

Robenek T., Sharif Azadeh S., Maknoon Y., de Lapparent M., Bierlaire M. (2018). Train Timetable Design Under Elastic Passenger Demand. Transportation Research Part B: Methodological 111 :19-38


@Article{RoShMaDeBi18,
  author = {Tom\'a\v{s} Robenek and Shadi {Sharif Azadeh} and Yousef Maknoon and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Train Timetable Design Under Elastic Passenger Demand},
  journal = {Transportation Research Part B: Methodological},
  year = {2018},
  volume = {111},
  pages = {19-38},
  DOI = {10.1016/j.trb.2018.03.002},
  note = {Accepted on Mar 01, 2018}}}

Fernandez-Antolin A., de Lapparent M., Bierlaire M. (2018). Modeling purchases of new cars: an analysis of the 2014 French market. Theory and Decision 84 (2):277-303


@Article{FerAntDeLapBier17,
  author = {Anna Fernandez-Antolin and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Modeling purchases of new cars: an analysis of the 2014 French market},
  journal = {Theory and Decision},
  year = {2018},
  volume = {84},
  number = {2},
  pages = {277-303},
  DOI = {10.1007/s11238-017-9631-y},
  note = {Accepted on Sep 23, 2017}}}

2016

Fernandez-Antolin A., Guevara-Cue A., de Lapparent M., Bierlaire M. (2016). Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data. Journal of Choice Modelling 20 :1-15


@Article{FernGuevDeLaBier16,
  author = {Anna Fernandez-Antolin and Angelo Guevara-Cue and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data},
  journal = {Journal of Choice Modelling},
  year = {2016},
  volume = {20},
  pages = {1-15},
  DOI = {10.1016/j.jocm.2016.09.001},
  note = {Accepted on Sep 01, 2016}}}

de Lapparent M., Koning M. (2016). Analyzing time sensitivity in the Paris subway: an interval data model approach. Transportation 43 (5):913-933

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 density and time multipliers. Several formulations of a generalized travel cost function are tested. Accounting for heterogeneity in preferences, the econometric models all take the form of an ordered probit with known bounds. We derive several estimates that could be used for fine-tuning of traffic simulation systems and more general transportation policy analysis.
```
@Article{lapkon2015,
  author = {Matthieu {de Lapparent} and Martin Koning},
  title = {Analyzing time sensitivity in the Paris subway: an interval data model approach},
  journal = {Transportation},
  year = {2016},
  volume = {43},
  number = {5},
  pages = {913-933},
  DOI = {10.1007/s11116-015-9629-7},
  note = {Accepted on Aug 01, 2016}}}
```
Danalet A., Tinguely L., de Lapparent M., Bierlaire M. (2016). Location choice with longitudinal WiFi data. Journal of Choice Modelling 18 :1-17

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 choice of catering locations on a campus using WiFi traces. We use the [Wooldridge, J. M. (2005). Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity, Journal of Applied Econometrics 20(1): 39-54.] correction method that deals with the initial values problem and related endogeneity bias in estimation. Cross-validation, price elasticity and simulation of a scenario predicting the opening of a new catering location are presented. Predicted market shares of the new catering location correspond to point-of-sale data of the first week of opening.
```
@Article{DaTideLaBi15_JCM,
  author = {Antonin Danalet and Lo{\"\i}c Tinguely and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Location choice with longitudinal WiFi data},
  journal = {Journal of Choice Modelling},
  year = {2016},
  volume = {18},
  pages = {1-17},
  DOI = {10.1016/j.jocm.2016.04.003},
  note = {Accepted on Apr 12, 2016}}}
```

Nikolic M., Bierlaire M., Farooq B., de Lapparent M. (2016). Probabilistic speed-density relationship for pedestrian traffic. Transportation Research Part B: Methodological 89 :58-81


@Article{NikBieFarLap_ProbabilisticSpeedDensity,
  author = {Marija Nikolic and Michel Bierlaire and Bilal Farooq and Matthieu {de Lapparent}},
  title = {Probabilistic speed-density relationship for pedestrian traffic},
  journal = {Transportation Research Part B: Methodological},
  year = {2016},
  volume = {89},
  pages = {58-81},
  DOI = {10.1016/j.trb.2016.04.002},
  note = {Accepted on Apr 02, 2016}}}

Saujot M., de Lapparent M., Arnaud E., Prados E. (2016). Making land use � Transport models operational tools for planning: From a top-down to an end-user approach. Transport Policy 49 :20-29

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 expectations of practitioners (planners) and to the operational use of such models. The gap between lab application and operational use for planning practice is still to be filled. We shed light on what would make them definitely accepted and more used by planners to evaluate a range of urban and transport policies. In addition to literature review and our own experience dealing with urban planning agencies, we have interviewed different types of end users in France to identify their motivations and barriers to use LUTI models. The results show demand for a far more bottom-up oriented approach: the models should consider objectives and general needs of end users to live up to their expectations. Only a closer collaboration between modelers and end users, and more efforts to integrate modeling into urban planning, will make LUTIs considered as relevant approaches.
```
@Article{saujotetal2016,
  author = {Mathieu Saujot and Matthieu {de Lapparent} and Elise Arnaud and Emmanuel Prados},
  title = {Making land use {\textendash} Transport models operational tools for planning: From a top-down to an end-user approach},
  journal = {Transport  Policy},
  year = {2016},
  volume = {49},
  pages = {20-29},
  DOI = {10.1016/j.tranpol.2016.03.005},
  note = {Accepted on Mar 09, 2016}}}
```

2015

Cernicchiaro G., de Lapparent M. (2015). A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles. Computational Economics 46 :15-34

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) approach using revealed choices to address these dynamics. We develop a dynamic discrete/continuous choice model of car holding duration for forward-looking agents. We estimate this model using French panel survey data. Our findings indicate that a household’s time preference is a crucial element in car use and holding decisions.
```
@Article{CERNILAP2015,
  author = {Giulia Cernicchiaro and Matthieu {de Lapparent}},
  title = {A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles},
  journal = {Computational Economics},
  year = {2015},
  volume = {46},
  pages = {15-34},
  DOI = {10.1007/s10614-014-9449-4}}}
```

Collet R., de Lapparent M., Hivert L. (2015). Are French Households Car-Use Addicts? A microeconomic perspective. Journal of Behavioral and Experimental Economics 54 :86-94


@Article{colletetal2015,
  author = {Roger Collet and Matthieu {de Lapparent} and Laurent Hivert},
  title = {Are French Households Car-Use Addicts? A microeconomic perspective},
  journal = {Journal of Behavioral and Experimental Economics},
  year = {2015},
  volume = {54},
  pages = {86-94},
  DOI = {10.1016/j.socec.2014.12.002}}}

de Palma A., Picard N., de Lapparent M. (2015). Risk and Uncertainty in Urban and Transport Economics. Mathematical Population Studies 22 (1):1-3


@Article{depalmaetal2015,
  author = {Andr\'e {de Palma} and Nathalie Picard and Matthieu {de Lapparent}},
  title = {Risk and Uncertainty in Urban and Transport Economics},
  journal = {Mathematical Population Studies},
  year = {2015},
  volume = {22},
  number = {1},
  pages = {1-3},
  DOI = {10.1080/08898480.2013.836424}}}

Book chapters [1]

2015

de Palma A., de Lapparent M., Picard N. (2015) Modeling real estate investment decisions in households. In Bierlaire, de Palma, Hurtubia and Waddell (ed) Integrated transport and land use modeling for sustainable cities, EPFL Press , Lausanne, Switzerland [ISBN 978-2-940222-72-8]


@InProceedings{dePadeLapPic2015,
  author = {Andr\'e {de Palma} and Matthieu {de Lapparent} and Nathalie Picard},
  title = {Modeling real estate investment decisions in households},
  year = {2015},
  booktile = {Integrated transport and land use modeling for sustainable cities},
  editor = {Bierlaire and  de Palma and  Hurtubia and Waddell},
  publisher = {EPFL Press},
  address = {Lausanne, Switzerland},
  pages = {137-159}}}

Technical reports [13]

2024

Ortelli N., de Lapparent M., Varotto S., Bierlaire M. (2024). An integrated ordered logit and latent variable model for accident injury severity and risk-taking behavior. Report TRANSP-OR 240101


@TechReport{OrteLappVaroBier2024,
  author = {Nicola Ortelli and Matthieu {de Lapparent} and Silvia Varotto and Michel Bierlaire},
  title = {An integrated ordered logit and latent variable model for accident injury severity and risk-taking behavior},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2024},
  type = {Technical Report},
  number = {TRANSP-OR 240101},
  address = {Lausanne, Switzerland}}}

2023

Ortelli N., de Lapparent M., Bierlaire M. (2023). Resampling estimation of discrete choice models. Report TRANSP-OR 230330


@TechReport{OrteLappBier2023,
  author = {Nicola Ortelli and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Resampling estimation of discrete choice models},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2023},
  type = {Technical Report},
  number = {TRANSP-OR 230330},
  address = {Lausanne, Switzerland}}}

2017

Kazagli E., Bierlaire M., de Lapparent M. (2017). Operational route choice methodologies for practical applications. Report TRANSP-OR 170526


@TechReport{KazBierDeLap2017,
  author = {Evanthia Kazagli and Michel Bierlaire and Matthieu {de Lapparent}},
  title = {Operational route choice methodologies for practical applications},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2017},
  type = {Technical Report},
  number = {TRANSP-OR 170526},
  address = {Lausanne, Switzerland}}}

Nikolic M., Bierlaire M., de Lapparent M., Scarinci R. (2017). Multi-class speed-density relationship for pedestrian traffic. Report TRANSP-OR 170115


@TechReport{NikBieLapSca_MCVK_2017,
  author = {Marija Nikolic and Michel Bierlaire and Matthieu {de Lapparent} and Riccardo Scarinci},
  title = {Multi-class speed-density relationship for pedestrian traffic},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2017},
  type = {Technical Report},
  number = {TRANSP-OR 170115},
  address = {Lausanne, Switzerland}}}

2016

Fernandez-Antolin A., de Lapparent M., Bierlaire M. (2016). Modeling purchases of new cars: an analysis of the 2014 French market. Report TRANSP-OR 161130


@TechReport{FerLapBie16,
  author = {Anna Fernandez-Antolin and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Modeling purchases of new cars: an analysis of the 2014 French market},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2016},
  type = {Technical Report},
  number = {TRANSP-OR 161130},
  address = {Lausanne, Switzerland}}}

Robenek T., Sharif Azadeh S., Maknoon Y., de Lapparent M., Bierlaire M. (2016). Train Timetable Design Under Elastic Passenger Demand. Report TRANSP-OR 160923


@TechReport{RobAzaMakLapBier16,
  author = {Tom\'a\v{s} Robenek and Shadi {Sharif Azadeh} and Yousef Maknoon and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Train Timetable Design Under Elastic Passenger Demand},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2016},
  type = {Technical Report},
  number = {TRANSP-OR 160923},
  address = {Lausanne, Switzerland}}}

Fernandez-Antolin A., Guevara-Cue A., de Lapparent M., Bierlaire M. (2016). Correcting for endogeneity using the multiple indicator solution. Report TRANSP-OR 160405


@TechReport{FerGueLapBie16,
  author = {Anna Fernandez-Antolin and Angelo Guevara-Cue and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Correcting for endogeneity using the multiple indicator solution},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2016},
  type = {Technical Report},
  number = {TRANSP-OR 160405},
  address = {Lausanne, Switzerland}}}

2015

Danalet A., Tinguely L., de Lapparent M., Bierlaire M. (2015). Location choice with longitudinal WiFi data. Report TRANSP-OR 151110


@TechReport{DaTideLaBi15,
  author = {Antonin Danalet and Lo{\"\i}c Tinguely and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Location choice with longitudinal WiFi data},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2015},
  type = {Technical Report},
  number = {TRANSP-OR 151110},
  address = {Lausanne, Switzerland}}}

Saujot M., de Lapparent M., Arnaud E., Prados E. (2015). To make LUTI models operational tools for planning. Report TRANSP-OR 150310


@TechReport{cities_cupum_2015,
  author = {Mathieu Saujot and Matthieu {de Lapparent} and Elise Arnaud and Emmanuel Prados},
  title = {To make LUTI models operational tools for planning},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2015},
  type = {Technical Report},
  number = {TRANSP-OR 150310},
  address = {Lausanne, Switzerland}}}

Peiravian F., de Lapparent M., Derrible S. (2015). Exploration of the Complex Similarity of Urban System Components. Report TRANSP-OR 150121


@TechReport{Peiravi_et_al_EPFL_format2015,
  author = {Farideddin Peiravian and Matthieu {de Lapparent} and Sybil Derrible},
  title = {Exploration of the Complex Similarity of Urban System Components},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2015},
  type = {Technical Report},
  number = {TRANSP-OR 150121},
  address = {Lausanne, Switzerland}}}

Gaudry M., de Lapparent M. (2015). Attitudes to Distance, Time and Cost in Logit Transport Choice Models. Report TRANSP-OR 150113


@TechReport{gaudry_lapparent_150113,
  author = {Marc Gaudry and Matthieu {de Lapparent}},
  title = {Attitudes to Distance, Time and Cost in Logit Transport Choice Models},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2015},
  type = {Technical Report},
  number = {TRANSP-OR 150113},
  address = {Lausanne, Switzerland}}}

de Lapparent M., Koning M. (2015). Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models. Report TRANSP-OR 150112


@TechReport{LapKon_2015,
  author = {Matthieu {de Lapparent} and Martin Koning},
  title = {Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2015},
  type = {Technical Report},
  number = {TRANSP-OR 150112},
  address = {Lausanne, Switzerland}}}

2014

Buczkowska S., Coulombel N., de Lapparent M. (2014). Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models. Report TRANSP-OR 141031


@TechReport{BucCouLap_2014,
  author = {Sabina Buczkowska and Nicolas Coulombel and Matthieu {de Lapparent}},
  title = {Euclidean distance versus travel time in business location: A probabilistic mixture of hurdle-Poisson models},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2014},
  type = {Technical Report},
  number = {TRANSP-OR 141031},
  address = {Lausanne, Switzerland}}}

Articles in conference proceedings [11]

2023

Ortelli N., de Lapparent M., Bierlaire M. (2023) Faster estimation of discrete choice models via weighted dataset reduction. Proceedings of the 11th Symposium of the European Association for Research in Transportation (HEART), 6-8 September 2023, Zurich, Switzerland


@InProceedings{OrtHilPerLapBie_HEART2023,
  author = {Nicola Ortelli and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Faster estimation of discrete choice models via

weighted dataset reduction},
  booktime = {Proceedings of the 11th Symposium of the European Association for Research in Transportation (HEART), 6-8 September 2023},
  year = {2023},
  address = {Zurich, Switzerland}}}

Ortelli N., de Lapparent M., Bierlaire M. (2023) Stochastic adaptive resampling for the estimation of discrete choice models. Proceedings of the 23rd Swiss Transport Research Conference (STRC), 10-12 May, Ascona, Switzerland


@InProceedings{OrtLapBie_STRC2023,
  author = {Nicola Ortelli and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Stochastic adaptive resampling for the estimation of discrete choice models},
  booktime = {Proceedings of the 23rd Swiss Transport Research Conference (STRC), 10-12 May},
  year = {2023},
  address = {Ascona, Switzerland}}}

2022

Ortelli N., de Lapparent M., Bierlaire M. (2022) Faster estimation of discrete choice models via dataset reduction. Proceedings of the 22nd Swiss Transport Research Conference (STRC), 18-20 May, Ascona, Switzerland


@InProceedings{OrtLapBie_STRC2022,
  author = {Nicola Ortelli and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Faster estimation of discrete choice models via dataset reduction},
  booktime = {Proceedings of the 22nd Swiss Transport Research Conference (STRC), 18-20 May},
  year = {2022},
  address = {Ascona, Switzerland}}}

2021

Ortelli N., Bierlaire M., de Lapparent M. (2021) Can we infer on behavioral impacts of public policy on accident severity outcomes? A Swiss case study using historical disaggregate accident reports. Proceedings of the 21st Swiss Transport Research Conference (STRC), 12-14 September, Ascona, Switzerland


@InProceedings{OrtBieLap_STRC2021,
  author = {Nicola Ortelli and Michel Bierlaire and Matthieu {de Lapparent}},
  title = {Can we infer on behavioral impacts of public policy on accident severity outcomes? A Swiss case study using historical disaggregate accident reports},
  booktime = {Proceedings of the 21st Swiss Transport Research Conference (STRC), 12-14 September},
  year = {2021},
  address = {Ascona, Switzerland}}}

2017

Fernandez-Antolin A., Lurkin V., de Lapparent M., Bierlaire M. (2017) Discrete-continuous maximum likelihood for the estimation of nested logit models. Proceedings of the 16th Swiss Transport Research Conference (STRC), 17-19 May, Ascona, Switzerland


@InProceedings{FerLurLapBie_STRC2017,
  author = {Anna Fernandez-Antolin and Virginie Lurkin and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Discrete-continuous maximum likelihood for the estimation of nested logit models},
  booktime = {Proceedings of the 16th Swiss Transport Research Conference (STRC), 17-19 May},
  year = {2017},
  address = {Ascona, Switzerland}}}

2016

Fernandez-Antolin A., de Lapparent M., Bierlaire M. (2016) Uncovering substitution patterns in new car sales using a cross nested logit model. Proceedings of the 16th Swiss Transport Research Conference (STRC), 18-20 May, Ascona, Switzerland


@InProceedings{FerLapBie_STRC2016,
  author = {Anna Fernandez-Antolin and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Uncovering substitution patterns in new car sales using a cross nested logit model},
  booktime = {Proceedings of the 16th Swiss Transport Research Conference (STRC), 18-20 May},
  year = {2016},
  address = {Ascona, Switzerland}}}

2015

Saujot M., de Lapparent M., Arnaud E., Prados E. (2015) To make LUTI models operational tools for planning. Proceedings of the 14th International Conference on Computers in Urban Planning and Urban Management (CUPUM), July 7-10, Cambridge, MA , USA


@InProceedings{luti_cupum,
  author = {Mathieu Saujot and Matthieu {de Lapparent} and Elise Arnaud and Emmanuel Prados},
  title = {To make LUTI models operational tools for planning},
  booktime = {Proceedings of the 14th International Conference on Computers in Urban Planning and Urban Management (CUPUM), July 7-10},
  year = {2015},
  address = {Cambridge, MA , USA}}}

Baillif M., de Lapparent M., Fernandez-Antolin A., Bierlaire M. (2015) Modeling consideration for electric vehicles and plug-in electric vehicles in car renewal. Proceedings of the 15th Swiss Transportation Research Conference (STRC), April 15-17, Monte Verit�, Ascona, Switzerland


@InProceedings{Baillif_STRC_2015,
  author = {Maurin Baillif and Matthieu {de Lapparent} and Anna Fernandez-Antolin and Michel Bierlaire},
  title = {Modeling consideration for electric vehicles and plug-in electric vehicles in car renewal},
  booktime = {Proceedings of the 15th Swiss Transportation Research Conference (STRC), April 15-17},
  year = {2015},
  address = {Monte Verit\`a, Ascona, Switzerland}}}

Markov I., de Lapparent M., Bierlaire M., Varone S. (2015) Modeling a waste disposal process via a discrete mixture of count data models. Proceedings of the 15th Swiss Transport Research Conference (STRC), April 15-17, Ascona, Switzerland


@InProceedings{MarLappBierVar_STRC2015,
  author = {Iliya Markov and Matthieu {de Lapparent} and Michel Bierlaire and Sacha Varone},
  title = {Modeling a waste disposal process via a discrete mixture of count data models},
  booktime = {Proceedings of the 15th Swiss Transport Research Conference (STRC), April 15-17},
  year = {2015},
  address = {Ascona, Switzerland}}}

Tinguely L., Danalet A., de Lapparent M., Bierlaire M. (2015) Destination Choice Model including a panel effect using WiFi localization in a pedestrian facility. Proceedings of the 15th Swiss Transport Research Conference (STRC), April 15-17, Monte Verit�, Ascona, Switzerland


@InProceedings{TDdLB15,
  author = {Lo{\"\i}c Tinguely and Antonin Danalet and Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Destination Choice Model including a panel effect using WiFi localization in a pedestrian facility},
  booktime = {Proceedings of the 15th Swiss Transport Research Conference (STRC), April 15-17},
  year = {2015},
  address = {Monte Verit\`a, Ascona, Switzerland}}}

Peiravian F., de Lapparent M., Derrible S. (2015) Transportation Networks, People, and Buildings: Characterization of Urban System Components. Proceedings of the Transportation Research Board 94th Annual Meeting (TRB), January 11-15, Washington DC, USA


@InProceedings{peiravian_lapparent_derrible_TRB2015,
  author = {Farideddin Peiravian and Matthieu {de Lapparent} and Sybil Derrible},
  title = {Transportation Networks, People, and Buildings: Characterization of Urban System Components},
  booktime = {Proceedings of the Transportation Research Board 94th Annual Meeting (TRB), January 11-15},
  year = {2015},
  address = {Washington DC, USA}}}

Talks [10]

2017

de Lapparent M. Travel discomfort-time tradeoffs in Paris subway March 09, 2017. Seminar, Department of Civil and Environmental Engineering, University of Yamanashi, Kofu, Japan.


@Misc{Japan20174,
  author = {Matthieu {de Lapparent}},
  title = {Travel discomfort-time tradeoffs in Paris subway},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Japan20174.pdf}},
  year = {2017},
  note = {Presented at Seminar, Department of Civil and Environmental Engineering, University of Yamanashi, Kofu, Japan}}}

de Lapparent M. Structural modelling of sales and prices in the 2015 new car market in France March 09, 2017. Seminar, Department of Civil and Environmental Engineering, University of Yamanashi, Kofu, Japan.


@Misc{Japan20175,
  author = {Matthieu {de Lapparent}},
  title = {Structural modelling of sales and prices in the 2015 new car market in France},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Japan20175.pdf}},
  year = {2017},
  note = {Presented at Seminar, Department of Civil and Environmental Engineering, University of Yamanashi, Kofu, Japan}}}

de Lapparent M. On modeling optimal use and ownership duration of a car: a dynamic discrete choice approach March 07, 2017. Seminar, Department of Civil Engineering, Nagoya University, Nagoya, Japan.


@Misc{Japan20173,
  author = {Matthieu {de Lapparent}},
  title = {On modeling optimal use and ownership duration of a car: a dynamic discrete choice approach},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Japan20173.pdf}},
  year = {2017},
  note = {Presented at Seminar, Department of Civil Engineering, Nagoya University, Nagoya, Japan}}}

de Lapparent M. Structural modelling of sales and prices in the 2015 new car market in France March 06, 2017. Small International Workshop on Advanced Choice Modelling, Tokyo Institute of Technology, Tokyo, Japan.


@Misc{Japan20172,
  author = {Matthieu {de Lapparent}},
  title = {Structural modelling of sales and prices in the 2015 new car market in France},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Japan20172.pdf}},
  year = {2017},
  note = {Presented at Small International Workshop on Advanced Choice Modelling, Tokyo Institute of Technology, Tokyo, Japan}}}

de Lapparent M. Modeling Interactions under Imperfect Information March 05, 2017. International Workshop on Dynamic Risk Management of Transport Network: Social Interaction, Monitoring and Simulation, Tokyo Institute of Technology, Tokyo, Japan.


@Misc{Japan20171,
  author = {Matthieu {de Lapparent}},
  title = {Modeling Interactions under Imperfect Information},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Japan20171.pdf}},
  year = {2017},
  note = {Presented at International Workshop on Dynamic Risk Management of Transport Network: Social Interaction, Monitoring and Simulation, Tokyo Institute of Technology, Tokyo, Japan}}}

2016

de Lapparent M. Structural modeling of sales and prices in the 2015 new car market in France October 20, 2016. EI seminar, Erasmus University, Department of Econometrics, Econometric Institute, Rotterdam, The Netherlands.


@Misc{Lapparent_EUR_2016,
  author = {Matthieu {de Lapparent}},
  title = {Structural modeling of sales and prices in the 2015 new car market in France},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Lapparent_EUR_2016.pdf}},
  year = {2016},
  note = {Presented at EI seminar, Erasmus University, Department of Econometrics, Econometric Institute, Rotterdam, The Netherlands}}}

de Lapparent M., Bierlaire M. Modeling demand for new cars in Germany: a Bayesian approach June 16, 2016. 9th Triennial Symposium on Transportation Analysis , Oranjestad, Aruba.


@Misc{TRISTAN_2016_MDL,
  author = {Matthieu {de Lapparent} and Michel Bierlaire},
  title = {Modeling demand for new cars in Germany: a Bayesian approach},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/TRISTAN_2016_MDL.pdf}},
  year = {2016},
  note = {Presented at 9th Triennial Symposium on Transportation Analysis , Oranjestad, Aruba}}}

de Lapparent M. Statistiques, Econom�trie, et Big Data January 12, 2016. Journée assurance et big data, Ecole des Ponts Paris-Tech, Paris, France.


@Misc{Lapparent_ENPC_2016,
  author = {Matthieu {de Lapparent}},
  title = {Statistiques, Econom\'etrie, et Big Data},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Lapparent_ENPC_2016.pdf}},
  year = {2016},
  note = {Presented at Journ\ée assurance et big data, Ecole des Ponts Paris-Tech, Paris, France}}}

2015

de Lapparent M. Les mod�les LUTI : �tat de l�art, exemples internationaux et effets d�agglom�ration October 22, 2015. La prise en compte des effets d’agglomération dans le calcul socioéconomique, CGI, CGEDD, France-Stratégie, Paris, France.


@Misc{Lapparent_CGI_2015,
  author = {Matthieu {de Lapparent}},
  title = {Les mod\`eles LUTI : \'etat de l{\textquoteright}art, exemples internationaux et effets d{\textquoteright}agglom\'eration},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Lapparent_CGI_2015.pdf}},
  year = {2015},
  note = {Presented at La prise en compte des effets d\’agglom\ération dans le calcul socio\économique, CGI, CGEDD, France-Strat\égie, Paris, France}}}

de Lapparent M., Koning M. Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models July 23, 2015. 14th International Conference on Travel Behaviour Research, Beaumont Estate, Windsor.


@Misc{Lapparent_IATBR15,
  author = {Matthieu {de Lapparent} and Martin Koning},
  title = {Travel discomfort-time tradeoffs in Paris subway: an empirical analysis using interval regression models},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Lapparent_IATBR15.pdf}},
  year = {2015},
  note = {Presented at 14th International Conference on Travel Behaviour Research, Beaumont Estate, Windsor}}}

Reviewing [9]

Research projects [3]

2014

Electric vehicle adoption dynamics: exploring market potentials

This project proposes innovative methods to identify the determinants of acceptance of alternative vehicles and their impact on everyday mobility. The greatest challenge faced by the promoters of the transition towards this low carbon engine technology lies in understanding how consumers accept the financial and lifestyle investments associated with the leap from traditional to electric powertrains. This project proposes innovative methods to identify the determinants of acceptance of alternative vehicles and their impact on everyday mobility. A deeper understanding of adoption dynamics is critical to predict who will opt for EVs when and under which conditions. This project will focus on innovative data-collection and modelling methodologies to uncover the acceptance of EVs at different stages of market-penetration (considering inexperienced/experienced users, early pioneers/late-adopters). A thorough analysis of the consumer decision-making process will lead to uncovering the barriers and success factors related to EV uptake and to forecast buying and usage behaviours related to new vehicle classes.
- Apr 01, 2014 - Mar 31, 2017
- Sponsor: Nissan
- Principal investigator: Michel Bierlaire
- Project manager: Matthieu de Lapparent
- Collaborator: Anna Fernandez Antolin

2013

Revisiting the Route Choice Problem: A Multi-Level Modeling Framework for Route Choice Analysis Based On Latent Constructs

This project aims at developing behavioral models integrating the latent constructs that drive travel behavior. The objective of the project is to set the foundations of an innovative framework that facilitates the analysis and prediction of route choice behavior. Motivated by the complexity of the route choice models, we build on solid ground of the current state of the art and add on it by proposing a new approach that reduces model complexity and brings great flexibility to the analysis. The approach is inspired by the fact that people break down the complexity of the environment by forming representations of their surrounding space. Following this reasoning, we replace the conventional representation of routes which is based on paths, i.e. link-by-link sequences on the network model, with more aggregate elements that we denote as mental representation items. This key feature of the framework allows us to reduce the complexity of the model and at the same time is more behaviorally realistic.
- Oct 01, 2013 - Sep 30, 2016
- Sponsor: Swiss National Science Foundation
- Principal investigator: Michel Bierlaire
- Project manager: Matthieu de Lapparent
- Collaborator: Evanthia Kazagli

2011

ACTUM

The ACTUM research collaboration project involves development of an activity-based modelling framework for Copenhagen that is aimed at handling the future requirements for transport policy evaluations in Denmark.
- Mar 01, 2011 - Mar 01, 2016
- Sponsor: The Danish Council for Strategic Research
- Principal investigator: Michel Bierlaire
- Project manager: Matthieu de Lapparent

EPFL courses [6]

Fall 2016

Mod�lisation des syst�mes de transports.
- Level: Master
- Section: Civil Engineering
- Lecturers: Anne Curchod, Matthieu de Lapparent
Villes et Transports.
- Level: Master
- Section: Civil Engineering
- Lecturer: Matthieu de Lapparent

Spring 2016

Decision-aid methodologies in transportation.
- Level: Master
- Section: Civil Engineering
- Lecturers: Matthieu de Lapparent, Shadi Sharif Azadeh
- Teaching assistants: Anna Fernandez Antolin, Tom�s Robenek, Yousef Maknoon, Evanthia Kazagli
- Webpage: http://transp-or.epfl.ch/courses/decisionAid2016/index.php

Fall 2015

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturers: Michel Bierlaire, Matthieu de Lapparent
- Teaching assistants: Evanthia Kazagli, Anna Fernandez Antolin
- Webpage: http://transp-or.epfl.ch/courses/dca2015/

Spring 2015

Decision-aid methodologies in transportation.
- Level: Master
- Section: Civil Engineering
- Lecturers: Matthieu de Lapparent, Shadi Sharif Azadeh
- Teaching assistants: Evanthia Kazagli, Anna Fernandez Antolin, Iliya Markov, Yousef Maknoon
- Webpage: http://transp-or.epfl.ch/courses/decisionAid2015/index.php

Fall 2014

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturers: Michel Bierlaire, Matthieu de Lapparent
- Teaching assistants: Anna Fernandez Antolin, Evanthia Kazagli
- Webpage: http://transp-or.epfl.ch/courses/dca2014/

Lectures [8]

2017

Hybrid Choice Models (ctd).
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 16, 2017 - Feb 16, 2017
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
Logit Mixture; Hybrid Choice Models.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 15, 2017 - Feb 15, 2017
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
Forecasting; Combining RP and SP.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 14, 2017 - Feb 14, 2017
- Lecturer: Meritxell Pacheco
- Assistants: Evanthia Kazagli, Matthieu de Lapparent, Anna Fernandez Antolin
Nested logit; Specification testing.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 13, 2017 - Feb 13, 2017
- Lecturer: Evanthia Kazagli
- Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin
Introduction; Logit estimation.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 12, 2017 - Feb 12, 2017
- Lecturer: Evanthia Kazagli
- Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin

2016

Logit Mixture; Combining SP and RP.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Mar 23, 2016 - Mar 23, 2016
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Anna Fernandez Antolin
Forecasting; Nested Logit.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Mar 22, 2016 - Mar 22, 2016
- Lecturer: Anna Fernandez Antolin
- Assistants: Evanthia Kazagli, Matthieu de Lapparent
Logit Models; Specification testing.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Mar 21, 2016 - Mar 21, 2016
- Lecturer: Anna Fernandez Antolin
- Assistants: Evanthia Kazagli, Matthieu de Lapparent

PhD supervision [1]

Anna Fernandez Antolin, Dealing with correlations in discrete choice models.

MSc theses [10]

2017-2018

Modelling High Mobility Practices in Santiago de Chile, Pauline Hansotte (Civil Engineering)
- Supervision: Matthieu de Lapparent
- External expert: Prof. Ricardo Hurtubia

2017

Dynamiques de la grande mobilité, Alexis Gumy (Civil Engineering)
- Supervision: Matthieu de Lapparent, Michel Bierlaire
- External expert: V. Kaufmann, E. Ravalet, Sebastien Munafo
Concurrence sur les marchés automobiles européens: une approche par la modélisation de la demande, Christophe Paillard (Mathematics)
- Supervision: Matthieu de Lapparent, Michel Bierlaire
- External expert: Antonin Danalet
Modeling Heterogeneity of Drivers Route Choice Behavior in Quebec, Mathieu Plourde (Civil Engineering)
- Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
- External expert: Charisma Choudhury
Integrating Bicycle Travel Demand to a Land-Use and Transport Model, Marc-Edouard Schultheiss (Civil Engineering)
- Supervision: Matthieu de Lapparent, Marija Nikolic, Michel Bierlaire
- External expert: Christopher Zegras
Passenger's Connection Time Preferences in Airline Itinerary Choice, Elisabeth Zbinden (Civil Engineering)
- Supervision: Virginie Lurkin, Matthieu de Lapparent, Michel Bierlaire
- External expert: Laurie Garrow

2016

Discrete choice model for the automobile market: modeling willingness-to-pay for marginal and non marginal changes in car attributes, Anna-Katharina Clodong (Civil Engineering)
- Supervision: Matthieu de Lapparent, Anna Fernandez Antolin, Michel Bierlaire
- External expert:

2015-2016

Disaggregate modeling of vehicle-miles traveled: what about users of alternative-fuel vehicles?, Takao Dantsuji (Civil Engineering)
- Supervision: Matthieu de Lapparent, Anna Fernandez Antolin, Michel Bierlaire
- External expert:

2015

Modeling consideration and willingness-to-pay for electric and plug-in hybrid electric vehicles in car renewal, Baillif Maurin (Civil Engineering)
- Supervision: Matthieu de Lapparent, Anna Fernandez Antolin, Michel Bierlaire
- External expert: Yves Delacrétaz
Exploiting pedestrian WiFi traces for destination choice modeling, Loïc Tinguely (Civil Engineering)
- Supervision: Antonin Danalet, Matthieu de Lapparent, Michel Bierlaire
- External expert: Andres Sevtsuk

Semester projects [12]

2017

Emotions and risky discrete choices, Le Sueur Cécile Christianne Anny Déborah Suzanne (SMA)

Supervision: Matthieu de Lapparent, Michel Bierlaire
This CSE project aims at understanding, analyzing and quantitative modeling of the roles of emotions in risky choice making

2016

Une modélisation de la grande mobilité, Pauline Hosotte

Supervision: Matthieu de Lapparent, Michel Bierlaire

Grandes mobilités réversibles. Approche par la modélisation dynamique de choix discrets., Alexis Gumy

Supervision: Matthieu de Lapparent, Michel Bierlaire

4. Modeling Route Choice in Quebec City Using Mental Representations, Mathieu Plourde

Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
In this project, we build upon previous work proposed by Kazagli et al., 2016 to model route choice for a big network and dataset concerning the city of Quebec. We aim first to define the mental representation items (MRIs) for the case study and then to derive operational route choice models based on them. A GPS dataset from the city of Quebec is available and will be used for this purpose. The focus of the project is methodological.

Passengers' connection time preferences in airline itinerary choice, Elisabeth Zbinden (Civil Engineering)

Supervision: Virginie Lurkin, Matthieu de Lapparent, Michel Bierlaire
As noted by Theis et al. (2006), "Network airlines traditionally attempt to minimize passenger connecting times at hub airports, assuming that passengers prefer minimum scheduled elapsed time for their trips. However, minimizing connecting times creates schedule peaks at hub airports. These peaks are extremely cost-intensive in terms of additional personnel, resources, runway capacity, and schedule recovery. Consequently, passenger connecting times should be minimized only if the anticipated revenue gain of minimizing passenger connection times is larger than the increase." Prior work has used (small) stated preference surveys to estimate customers' connection time preferences, and explicitly whether this function is nonlinear with connection time (i.e., customers avoid very short connections and very long connections). However, little is known as to how these connection time preferences vary as a function of other characteristics, including flight frequency (or schedule delay), length of haul, whether the flight is the last flight of the day, prior on-time performance of flight legs. As part of this project, the student will estimate airline itinerary choice models using a large ticketing database provided by the Airlines Reporting Corporation (ARC). The student will build off of prior MNL models that have been estimated which have corrected for price endogeneity and focus explicitly on refining the utility function related to connection time preferences.

Accounting for dynamics in pedestrian multi-class speed-density relationship, Marc-Edouard Schultheiss (Civil Engineering)

Supervision: Marija Nikolic, Matthieu de Lapparent, Michel Bierlaire
The relationship between speed and density plays an important role in modeling of pedestrian traffic. It is useful for planning and design of pedestrian facilities, and it is also a required input or calibration criterion for models of pedestrian dynamics. The relationship is specified under the assumption that the traffic system is at equilibrium (stationary and homogenous). The analysis we have performed, based on the data collected in the Lausanne train station, rules out the use of a unique equilibrium relationship due to a high scatter in the data. This scatter may be explained by the violation of the equilibrium assumptions, as documented in the literature. To characterize the observed scatter we have developed a multi-class model of the speed-density relationship based on the latent class modeling approach. The model is derived by relaxing the homogeneity assumption of equilibrium relationships. It is assumed that pedestrian population is heterogeneous (e.g. different trip purpose, different time to departure, etc.) and that this heterogeneity leads to the existence of multiple pedestrian classes that are characterized by different behavior. There are two specification issues related to the panel data set (data collected over multiple time periods for the same sample of individuals) that we use in our analysis. The first is serial correlation across the observations of the same individual due to unobserved individual factors that persist over time. The second is related to dynamics, meaning that the speed in one period may depend on the speed values in the past. We have addressed the first issue by introducing an agent effect in the model that captures individual related unobserved factors. We term this model the static model with agent effect. The aim of this project will be to deal with the second issue, or dynamics. We will start with the simplified assumption that the speed at time t is influenced by the speed at time t - 1 only. We term such a model a dynamic model with agent effect. The performance of the approach will be tested using real data.

Modeling evolution of sales of alternative fuel vehicles in Europe, Christophe Paillard (Mathematics)

Supervision: Matthieu de Lapparent, Michel Bierlaire

Modeling route choice in Québec using mental representations, Mathieu Plourde

Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
In this project, we aim at simplifying the route choice problem by modeling the strategic decisions of people --represented by the mental representations of their itineraries-- instead of the operational ones --represented by paths. We define an abstracted graph based on what we denote mental representation item (MRI) and we derive operational route choice models based on it. A GPS dataset from the city of Quebec is available and will be used for this purpose. Hence, the project is divided in two main parts; the first and technical part which involves data processing, and the second methodological part which involves the development of a model for the MRI network.

2015-2016

Hedonic pricing of car attributes: a comparison across European countries, Anna-Katharina Clodong (Civil Engineering)

Supervision: Matthieu de Lapparent, Anna Fernandez Antolin, Michel Bierlaire
Hedonic pricing is a revealed preference approach that is used for valuation of constituent characteristics of a good or a service. This project aims at pricing car attributes using disaggregate data on car purchases in 5 European countries from 2010 to 2014. Attention will be paid on estimation of market price gradients and willingness-to-pay for engine types, fuel consumption, weight to power ratio, etc., while accounting for heterogenous preferences of consumers and controlling for market segments, changes in quality, and brand effects. The candidate will take a strong interest in nonlinear regression methods, issues in econometric modeling, analysis and preparation of large datasets, and programming.

2015

Development of an aggregate route choice model for a big network, Arriagada Diego Alexandre

Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
The use of random utility models for route choice analysis involves challenges stemming from the high requirements in data and data processing, the physical overlap of paths, and the large size of the choice set. These factors increase the complexity of the models significantly. In order to simplify the problem, a novel approach based on an aggregate representation of route choices has been proposed. The conventional representation and modeling approach is based on path alternatives constructed as link-by-link sequences on the network. This approach entails a very large number of possible paths connecting a given origin and destination (OD), and high correlation among the alternative paths. In this work, we claim that a path is solely the manifestation of the route choice, i.e. the way the traveler implements her decision to take a specific route, and we replace the paths with aggregate elements that we denote as Mental Representation Items (MRIs). This key feature allows us to reduce the complexity of the model and at the same time is more behaviorally realistic. The aim of this project is to extend this approach and apply it in a big network for which information about congestion is available. A GPS dataset from the city of Quebec is available and will be used for this purpose. Knowledge of statistical mathematics and familiarity with MATLAB and SQL are required. Geographic Information Systems (GIS) software will be used for completing this project.

2014

A destination choice model for EPFL Campus, Loïc Tinguely (Civil Engineering)

Supervision: Antonin Danalet, Matthieu de Lapparent
Based on WiFi traces from access points, the goal of this semester project consists in developing binary discrete choice models for the choice of attending classes.

Accounting for attitudes in modeling demand for electric vehicles, Maurin Baillif (Civil Engineering)

Supervision: Matthieu de Lapparent, Anna Fernandez Antolin, Michel Bierlaire
The purpose is to characterize and to model determinants of electric vehicle acceptance and adoption by individuals. Special attention will be paid to additional integration of attitudinal drivers and barriers to adherence to such technology. It aims at understanding how consumers accept the financial and lifestyle investments associated with the leap from traditional to electric powertrains, focusing on battery electric (BEV) and plug-in hybrid electric (PHEV) vehicles. To this extent, the 2012 Renault-Nissan Alliance survey on electric vehicles will be used. Data are collected over 5 European countries: France, Italy, Germany, Spain, UK. It focuses on current owners of a car bought new between 6 months and 5 years ago and who intend to buy a new car in the next 5 years. State-of-the-art and extended discrete choice models will be developed to account for formation of latent processes and existence of endogeneity issues.