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 Corsica.
Corsica is not included in the census data set that is used for Île-de-France
(Zone A). Instead, Zone E needs to be obtained from the same source. Download the dbase version of Zone E and put the
respective file (FD_INDCVIZE_2015.dbf) into the data/rp_2015
folder.
You need to download the region-specific address database.
- Address database
- Use a ftp client to download the Région Corse - R 94 . Most browsers will not be able to download the data.
- Open the downloaded archive and open/unpack it to to access the folder
BDTOPO_3-0_TOUSTHEMES_SHP_LAMB93_R94_2020-12-15
BDTOPO
1_DONNEES_LIVRAISON_2021-01-00120
BDT_3-0_SHP_LAMB93_R94-ED2020-12-15
ADRESSES
- Copy the files
ADRESSE.*
from the folderADDRESSES
in shape file format intodata/bdtopo
.
Only if you plan to run a simulation (and not just generate a synthetic population),
you need to obtain additional data from OpenStreetMap.
Geofabrik provides a cut-out for the Corsica region: corse-220101.osm.pbf. Download the region file in .osm.pbf format and put the file into the
folder data/osm
.
Again, only if you want to run simulations, the digital transit schedule is required. Unfortunately, there is no consolidated GTFS schedule avaiable for the region of interest. Hence, it is necessary to collect all relevant GTFS schedules one by one.
Download all the zip'd GTFS schedules and put them into the folder data/gtfs
.
Afterwards, you should have the following additional files in your directory structure:
data/rp_2015/FD_INDCVIZE_2015.dbf
Only for simulation:
osm/corse-220101.osm.pbf
gtfs/GTFS été 2021.zip
gtfs/cars2a-gtfs.zip
gtfs/cars2b-gtfs.zip
Note that the file names may change slightly over time as GTFS schedule are updated continuously.
To generate the synthetic population, the config.yml
needs to be updated. While
the relevant code points to the Île-de-France data sets by default, you can
adjust the paths inidividually. To let the pipeline use the Zone E census
data set, add the following to config.yml
in the config
section:
config:
# ...
census_path: rp_2015/FD_INDCVIZE_2015.dbf
# ...
Furthermore, by default the pipeline will filter all other data sets for the Île-de-France region. To make it use the selected region, adjust the configuration as follows:
config:
# ...
regions: [94]
# ...
This will make the pipeline filter all data sets for the Corsica region.
Finally, to not confuse output names, we can define a new prefix for the output files:
config:
# ...
output_prefix: corsica_
# ...
For the specific use case of Corsica, it makes sense to reduce the matching threshold between activity chains and persons as only little data for Corsica is available in the ENTD survey. This might be improved in the future by reusing data from other regions or using a more detailed HTS:
config:
# ...
matching_minimum_observations: 5
# ...
You can now enter your Anaconda environment and call the pipeline with the
synthesis.output
stage activated. This will generate a synthetic population
for Corsica.
To prepare the pipeline for a simulation of Lyon, the paths to the OSM data sets and to the GTFS schedule must be adjusted explicitly:
config:
# ...
gtfs_path: gtfs/cars2a-gtfs.zip;gtfs/cars2b-gtfs.zip;gtfs/GTFS été 2021.zip
osm_path: osm/corse-220101.osm.pbf
# ...
To test the simulation and generate the relevant MATSim files, run the pipeline
with the matsim.output
stage enabled.