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Expertises - Studies

Analysis of existing socio-economic data to help to set up the marketing of an innovative mobility offer


In the framework of the development of new forms of mobility in the Pays de la Loire, SNCF asked Ifsttar (became Gustave Eiffel University) to characterise daily journeys on an axis in the Nantes suburban area, using data made available by INSEE and the Ménage Déplacement survey.
We carried out a statistical evaluation of the data using Python.

Study of river trajectories for the métropole  Rouen Normandie


In the framework of studies on a project for the crossing of the Seine, Rouen métropole asked Ifsttar (became Gustave Eiffel University) to determine the ships trajectories zones on a part of the Seine. An assessment was therefore carried out by EASE using statistical analysis of the AIS data of vessels. The very large quantity of these data highlighted areas relevant to the specifications of the crossing structure. Data processing was done with the R software and some libraries that handle large data files, such as the data. table and dplyr libraries.


2014- 2015



2014- 2015