Analyze isochrone data for public transport

[florianschwanz]

Analyze random points in terms of level of connectivity.

• [x] Generate a list of random point evenly spread over Berlin
• [x] Calculate for each point how far one could get
  • [x] by foot + bus
  • [x] by foot + tram
  • [x] by foot + train (S and U-Bahn)
  • [x] by foot + all means of public transport
• [x] Save results as geoJSON file containing feature that look like that

{
    "geometry": {
        "coordinates": [13.1709124, 52.4067595],
        "type": "Point"
    },
    "properties": {
        "mean_spatial_distance_15min": 1993.8677667551392
    },
    "type": "Feature"
}

[florianschwanz]

TODO

• [x] distribute random point more evenly
• [x] use bus+walk to make sure to account for actual points and not only bus stops

[florianschwanz]

Detailed information about public transport layers https://wiki.openstreetmap.org/wiki/Public_transport#Introduction