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Toulouse / Occitanie

The pipeline makes it easy to create synthetic populations and simulations for other regions than Île-de-France. In any case, we recommend to first follow instructions to set up a synthetic population for Île-de-France and (if desired) the respective simulation. The following describes the steps and additional data sets necessary to create a population and simulation for Toulouse.

Additional data

A) Buildings database (BD TOPO)

You need to download the region-specific buildings database.

  • Buildings database
  • In the sidebar on the right, under Téléchargement anciennes éditions, click on BD TOPO® 2022 GeoPackage Départements to go to the saved data publications from 2022.
  • The data is split by department and they are identified with a number. For the departments around Toulouse, download:
    • Ariège (09)
    • Aude (11)
    • Haute-Garonne (31)
    • Gers (32)
    • Tarn (81)
    • Var (82)
  • Copy the six 7z files into data/bdtopo_toulouse.
  • If you decide to add additional departments to the simulation (for instance, to simulate the whole Occitanie region) make sure to download the respective data sets.

B) OpenStreetMap data

Only if you plan to run a simulation (and not just generate a synthetic population), you need to obtain additional data from OpenStreetMap. Geofabrik does not provide a continuous cut-out for Occitanie. Instead, the former regions of Midi-Pyrennées and Languedoc-Roussilon are available: midi-pyrenees-220101.osm.pbf and languedoc-roussillon-220101.osm.pbf. Download both regions in .osm.pbf format and put the files into the folder data/osm_toulouse.

C) GTFS data

Again, only if you want to run simulations, the digital transit schedule is required. Unfortunately, there is no consolidated GTFS schedule avaiable for the Occitanie region. Hence, it is necessary to collect all relevant GTFS schedules one by one. Here, we provide a selection of links, which is not necessarily exhaustive:

Download all the zip'd GTFS schedules and put them into the folder data/gtfs_toulouse.

D) Adresses database (BAN)

You need to download the region-specific adresses database :

  • Adresses database
  • Click on the link adresses-xx.csv.gz where xx = departments codes (09, 11, 31, 32, 81, 82)
  • Copy the gz files into data/ban_toulouse.

Overview

Afterwards, you should have the following additional files in your directory structure:

  • data/bdtopo_toulouse/BDTOPO_3-0_TOUSTHEMES_GPKG_LAMB93_D009_2022-03-15.7z
  • data/bdtopo_toulouse/BDTOPO_3-0_TOUSTHEMES_GPKG_LAMB93_D011_2022-03-15.7z
  • data/bdtopo_toulouse/BDTOPO_3-0_TOUSTHEMES_GPKG_LAMB93_D031_2022-03-15.7z
  • data/bdtopo_toulouse/BDTOPO_3-0_TOUSTHEMES_GPKG_LAMB93_D032_2022-03-15.7z
  • data/bdtopo_toulouse/BDTOPO_3-0_TOUSTHEMES_GPKG_LAMB93_D081_2022-03-15.7z
  • data/bdtopo_toulouse/BDTOPO_3-0_TOUSTHEMES_GPKG_LAMB93_D082_2022-03-15.7z
  • data/ban_toulouse/adresses-09.csv.gz
  • data/ban_toulouse/adresses-11.csv.gz
  • data/ban_toulouse/adresses-31.csv.gz
  • data/ban_toulouse/adresses-32.csv.gz
  • data/ban_toulouse/adresses-81.csv.gz
  • data/ban_toulouse/adresses-82.csv.gz

Only for simulation:

  • data/osm_toulouse/midi-pyrenees-latest.osm.pbf
  • data/osm_toulouse/languedoc-roussillon-latest.osm.pbf
  • data/gtfs_toulouse/tisseo.zip
  • data/gtfs_toulouse/TAM_MMM_GTFS.zip
  • data/gtfs_toulouse/RESEAU_LR_GTFS_20200706.zip
  • data/gtfs_toulouse/export_gtfs_voyages.zip
  • data/gtfs_toulouse/export-intercites-gtfs-last.zip
  • data/gtfs_toulouse/export-ter-gtfs-last.zip

Note that the file names may change slightly over time as GTFS schedule are updated continuously.

Generating the population

To generate the synthetic population, the config.yml needs to be updated. By default the pipeline will filter all other data sets for the Île-de-France region. To make it use the Occitanie region, adjust the configuration as follows:

config:
  # ...
  regions: []
  departments: ["09", "82", "81", "11", "31", "32"] # 12 30 34 46 48 65 66
  # ...

This will make the pipeline filter all data sets for the departments noted in the list above, which is a set of the closest departments around Toulouse. If you want to generate the whole Occitanie region, add the commented out department identifiers to the list.

Finally, to not confuse output names, we can define a new prefix for the output files:

config:
  # ...
  output_prefix: toulouse_
  # ...

You can now enter your Anaconda environment and call the pipeline with the synthesis.output stage activated. This will generate a synthetic population for Toulouse and surroundings.

Running the simulation

To prepare the pipeline for a simulation of Toulouse, the paths to the OSM data sets and to the GTFS schedule must be adjusted explicitly:

config:
  # ...
  gtfs_path: gtfs_toulouse
  osm_path: osm_toulouse
  ban_path: ban_toulouse
  bdtopo_path: bdtopo_toulouse
  # ...

Note that the pipeline will automatically cut GTFS and OpenStreetMap data to the relevant area (defined by the filter above) if you run the simulation.

To test the simulation and generate the relevant MATSim files, run the pipeline with the matsim.output stage enabled.