Surveys
Enquête mobilité des personnes 2019 (EMP)
Code: emp2019
Tested version: November 2024
Notes:
- Many variables from the original survey data are not read because they are not part of any other survey type.
- The survey does not guarantee any representativeness at the regional level.
- Only one person per household is surveyed for their trips and additional characteristics.
- The car type is not specified. Cars can include passenger cars, utilitary cars and recreational cars.
- The survey includes data on 58 “voiturettes”, 59 “quads”, and 1 “tricycle” as a special vehicle category, which is not read by MobiSurvStd.
- Walking legs are not specified in the survey data for trips combining walking with other modes.
Enquêtes mobilité certifiés Cerema (EMC²)
Code: emc2
Download link (for researchers): https://data.progedo.fr/series/adisp/enquetes-menages-deplacements-emd-enquetes-mobilite-certifiee-cerema-emc
Tested surveys:
- Alençon 2018
- Angers 2022
- Besançon 2018
- Bordeaux 2021
- Bouzonville 2019
- Brest 2018
- Chambéry 2022
- Évreux 2018
- Gap 2018
- Grenoble 2020
- Lannion 2022
- Le Havre 2018
- Marseille 2020
- Pointe-à-Pitre 2021
- Poitiers 2018
- Reims 2021
- Rennes 2018
- Sables d’Olonne 2021
- Saint-Étienne 2021
- Tours 2019
- Valenciennes 2019
- Vendée 2020
Notes:
- The survey detailed zones correspond to the “zones fines” (“ZF”), which are usually the size of IRIS zones or smaller.
- For most surveys, there are special locations corresponding to “Générateurs de trafic” (“GT”), which represent e.g., train stations or hospitals.
- Draw zones correspond to the survey’s “zones de tirage”.
- For each trips, the non-walking legs are recorded. MobiSurvStd reconstruct the walking legs using the access / egress walking time variables. This means that the leg travel time is known only for the walking legs (as it is not a recorded variable for the other legs).
Enquête Globale Transport 2018-2020
Code: egt2020
Link: https://data.progedo.fr/studies/doi/10.13144/lil-1581
Notes:
- There is no draw zones because the survey was interrupted before the end due to Covid-19.
- There is no detailed zone but the coordinates of the origins / destinations are known (rounded to 100 meters).
- The car types are not specified but utilitary cars and recreational cars ar excluded.
- Motorcycles’ parking data is not read because the survey’s documentation is incorrect.
- Variable
main_mode_group
can differ from the originalMODP_H7
variable because MobiSurvStd uses a different definition of mode groups and a different methodology to identify the main mode. - The
start_insee
andend_insee
values are derived from the leg’s coordinates, using INSEE data from 2025. - The
work_insee
andstudy_insee
values are derived from the given coordinates, using INSEE data from 2025. There can be some errors because of the 100m rounding.
Enquêtes Déplacements Grands Territoires (EDGT)
Code: edgt
Download link (for researchers): https://data.progedo.fr/studies?q=edgt
Tested surveys:
- Amiens 2010
- Angers 2012
- Annecy 2017
- Annemasse 2016
- Bayonne 2010
- Clermont-Ferrand 2012
- Dijon 2016
- Dunkerque 2015
- Lyon 2015
- Marseille 2009
- Metz 2017
- Montpellier 2014
- Nancy 2013
- Nantes 2015
- Nice 2009
- Saint-Denis-de-la-Réunion 2016
- Saint-Quentin-en-Yvelines 2010
- Valence 2014
Notes:
- The survey detailed zones correspond to the “zones fines” (“ZF”), which are usually the size of IRIS zones or smaller.
- For most surveys, there are special locations corresponding to “Générateurs de trafic” (“GT”), which represent e.g., train stations or hospitals.
- Draw zones correspond to the survey’s “zones de tirage”.
- For each trips, the non-walking legs are recorded. MobiSurvStd reconstruct the walking legs using the access / egress walking time variables. This means that the leg travel time is known only for the walking legs (as it is not a recorded variable for the other legs).
Enquêtes Déplacements Villes Moyennes (EDVM)
Code: edvm
Download link (for researchers): https://data.progedo.fr/studies?q=edvm
Tested surveys:
- Ajaccio 2017
- Albi 2011
- Angoulême 2012
- Arras 2014
- Beauvais 2010
- Béziers 2014
- Bourg-en-Bresse 2017
- Carcassonne 2015
- Châlon-sur-Saône 2014
- Cherbourg 2016
- Créil 2017
- Dinan 2010
- La Rochelle 2011
- La-Roche-sur-Yon 2013
- Laval 2011
- Le Creusot 2012
- Les Sables d’Olonne 2011
- Longwy 2014
- Niort 2016
- Puisaye-Forterre et Aillantais 2012
- Quimper 2013
- Roanne 2012
- Saint-Brieuc 2012
- Saintes 2016
- Saint-Louis 2011
- Thionville 2012
- Var 2012
Notes:
- The survey detailed zones correspond to the “zones fines” (“ZF”), which are usually the size of IRIS zones or smaller.
- For most surveys, there are special locations corresponding to “Générateurs de trafic” (“GT”), which represent e.g., train stations or hospitals.
- Draw zones correspond to the survey’s “zones de tirage”.
- For each trips, the non-walking legs are recorded. MobiSurvStd reconstruct the walking legs using the access / egress walking time variables. This means that the leg travel time is known only for the walking legs (as it is not a recorded variable for the other legs).
Enquêtes Ménages Déplacements (EMD)
Code: emd
Download link (for researchers): https://data.progedo.fr/studies?q=emd
Tested surveys:
- Douai 2012
- Fort-de-France 2014
- Grenoble 2010
- Lille 2016
- Nîmes 2015
- Rouen 2017
- Saint-Étienne 2010
- Strasbourg 2009
- Toulouse 2013
- Valenciennes 2011
Notes:
- The survey detailed zones correspond to the “zones fines” (“ZF”), which are usually the size of IRIS zones or smaller.
- For most surveys, there are special locations corresponding to “Générateurs de trafic” (“GT”), which represent e.g., train stations or hospitals.
- Draw zones correspond to the survey’s “zones de tirage”.
- For each trips, the non-walking legs are recorded. MobiSurvStd reconstruct the walking legs using the access / egress walking time variables. This means that the leg travel time is known only for the walking legs (as it is not a recorded variable for the other legs).
Enquête Globale Transport 2010
Code: egt2010
Link: https://data.progedo.fr/studies/doi/10.13144/lil-0883
Notes:
- The detailed zones correspond to the 100m by 100m cells.
- For now, only the weekday trips are standardized.