Matthieu de Lapparent papers in international journals

This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Matthieu de Lapparent.

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Published

Total: 12

Ortelli et al., 2024
Ortelli, N., de Lapparent, M., and Bierlaire, M. (2024). Resampling Estimation of Discrete Choice Models, Journal of Choice Modelling 50(100467):. doi:10.1016/j.jocm.2023.100467
[Bibtex]

Ortelli et al., 2021
Ortelli, N., Hillel, T., Pereira, F. C., de Lapparent, M., and Bierlaire, M. (2021). Assisted Specification of Discrete Choice Models, Journal of Choice Modelling 39(100285):. doi:10.1016/j.jocm.2021.100285
[Bibtex]

Robenek et al., 2018
Robenek, T., Sharif Azadeh, S., Maknoon, Y., de Lapparent, M., and Bierlaire, M. (2018). Train Timetable Design Under Elastic Passenger Demand, Transportation Research Part B: Methodological 111:19-38. doi:10.1016/j.trb.2018.03.002
ISI: Impact factor: 2.856, cited half-life: 9.1
[Bibtex]

Fernandez-Antolin et al., 2018
Fernandez-Antolin, A., de Lapparent, M., and Bierlaire, M. (2018). Modeling purchases of new cars: an analysis of the 2014 French market, Theory and Decision 84(2):277-303. doi:10.1007/s11238-017-9631-y
ISI: Impact factor: 0.606, cited half-life: 0
[Bibtex]

Fernandez-Antolin et al., 2016
Fernandez-Antolin, A., Guevara-Cue, A., de Lapparent, M., and 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. doi:10.1016/j.jocm.2016.09.001
[Bibtex]

Lapparent and Koning, 2016
de Lapparent, M., and Koning, M. (2016). Analyzing time sensitivity in the Paris subway: an interval data model approach, Transportation 43(5):913-933. doi:10.1007/s11116-015-9629-7
ISI: Impact factor: 1.023, cited half-life: 8.4
[Bibtex]

Danalet et al., 2016
Danalet, A., Tinguely, L., de Lapparent, M., and Bierlaire, M. (2016). Location choice with longitudinal WiFi data, Journal of Choice Modelling 18:1-17. doi:10.1016/j.jocm.2016.04.003
[Bibtex]
[Infoscience EPFL-ARTICLE-218334]

Nikolic et al., 2016
Nikolic, M., Bierlaire, M., Farooq, B., and de Lapparent, M. (2016). Probabilistic speed-density relationship for pedestrian traffic, Transportation Research Part B: Methodological 89:58-81. doi:10.1016/j.trb.2016.04.002
ISI: Impact factor: 2.856, cited half-life: 9.1
[Bibtex]

Saujot, M. et al.,2016
Saujot, M., de Lapparent, M., Arnaud, E., and 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. doi:10.1016/j.tranpol.2016.03.005
ISI: Impact factor: 1.719, cited half-life:
[Bibtex]

Cernicchiaro and Lapparent, 2015
Cernicchiaro, G., and de Lapparent, M. (2015). A dynamic discrete-continuous choice model for forward-looking agents owning one or more vehicles, Computational Economics 46:15-34. doi:10.1007/s10614-014-9449-4
ISI: Impact factor: 0.521, cited half-life:
[Bibtex]

Collet et al., 2015
Collet, R., de Lapparent, M., and Hivert, L. (2015). Are French Households Car-Use Addicts? A microeconomic perspective, Journal of Behavioral and Experimental Economics 54:86-94. doi:10.1016/j.socec.2014.12.002
ISI: Impact factor: 0.579, cited half-life:
[Bibtex]

de Palma et al., 2015
de Palma, A., Picard, N., and de Lapparent, M. (2015). Risk and Uncertainty in Urban and Transport Economics, Mathematical Population Studies 22(1):1-3. doi:10.1080/08898480.2013.836424
ISI: Impact factor: 0.292, cited half-life:
[Bibtex]
Matthieu de Lapparent