#OpenData @ TEC

As you may know, the TEC are opening up their data. Sadly, they are providing it here in a ESRI Shapefile format. To allow developpers and open data enthusiasts to play with it, I wrote a simple python script that read the files and generate json and GTFS files.

You need two dependencies in order to run the extract.py script (one to read shapefiles and the other to translate Lambert to WGS84).

You can install them with pip :

pip install pyshp
pip install pyproj

#JSON files

stops.json

Contains all the TEC stops in this format

[
{
"id" : 3724,
"name" : 'RECOGNE Big Mat'
"lat" : 3.173342,
"lon" : 51.282530
},
...
]

lines.json

Contains all the lines provided by the TEC in this format

[
	{
		"xid": "1", 
		"id": "BE.TEC.B1",
		"name": "Jodoigne - Louvain-la-Neuve - Ottignies"	
		"type" : "B",	
		"points" : [
			{"lat": 4.876579285263261, "lon": 50.72327969107735, "seq": 0},
			...
		]	
	},
	...
]

#GTFS feed

You can find information about GTFS here. The extract.py script create these files :

• agency.txt (information about the TEC)
• stops.txt (information about the stops)
• routes.txt (information about the lines)
• shapes.txt (shape containing all points related to a specific line)

#TODO

The stops names provided by the TEC contains the locality AND the street name. Could be nice to find the ultimate regex to separate these in two different attributes for enhanced filtering.

Feel free to comment or file an issue.