transnet

transport network resilience

Documentation

OSM Data

The output of the following steps is already included in /data.

1. Acquire OSM street network for Oxfordshire as shapefile using OSMnx

   In project root, run:

   import osmnx as ox
   place = 'Oxfordshire, UK'
   G = ox.graph_from_place(place, network_type='drive', truncate_by_edge=True)
   ox.save_graph_shapefile(G, filename='oxfordshire-osm-shapefile')

2. Package the contents of /data/oxfordshire-osm-shapefile/edges into a .zip file (oxfordshire-osm-shapefile.zip)

   zip ./data/oxfordshire-osm-shapefile.zip ./data/oxfordshire-osm-shapefile/edges/*
   rm -rf ./data/oxfordshire-osm-shapefile/
   

3. Go to mapshaper.org and import the .zip file. Export the file as GeoJSON (oxfordshire-osm.json)

Matching OSM geometry Google placeIDs

The output of the following steps is already included in /preprocess/output.

0. cd to /preprocess. Install packages for the preprocess scripts. Requires node and npm

1. Run placeIdToData which reads the OSM GeoJSON, assigns a Google placeID to each segment, and outputs a json dictionary keyed by placeID to /preprocess/output/placeIdToData.json. (Note that at this point there could be many OSM segments per placeID and/or many placeIDs per OSM segment.)

   node placeIdToData.js
   

2. Run dataToGeometry which reads the output of the previous script and consolidates the data so that each placeID is associated with one segment, writing the output as GeoJSON to /preprocess/output/dataToGeometry.json