OSMnx — The Complete Guide: Download and Analyse OpenStreetMap Street Networks in Python
OSMnx is an open-source (MIT) Python package that downloads, models and analyses street networks and geospatial data from OpenStreetMap. In a few lines of code you get the walking, driving or cycling network of a whole city and can start calculating.
OSMnx
Geoff Boeing
Download and analyse street networks from OpenStreetMap in Python — routing, connectivity, accessibility and network metrics.
Get it from the vendorWhat you get
- Network download — walking, driving or cycling, by place name or area.
- Routes and times — shortest paths and travel times.
- Network metrics — connectivity and centrality of nodes and streets.
- Street orientation and elevation — analysis of network form and topography.
- Urban data — buildings, stops and amenities for accessibility studies.
Who it suits
Transport planners, researchers and urban planning students who want to analyse accessibility or compare networks. Basic Python knowledge is required. Keep in mind that the quality of results depends on how complete OpenStreetMap mapping is in the area, so check the network before drawing conclusions.
Related tools
For a transport model with traffic assignment — AequilibraE. For a fast routing server on OSM data — OSRM. To display the results on a map — QGIS.
AequilibraE
AequilibraE
A Python package for transport modelling — equilibrium traffic assignment, demand matrices and GTFS, with a QGIS plugin.
Get it from the vendor
OSRM — Open Source Routing Machine
OSRM Project
A very fast road network routing engine — routes, distance matrices and service areas.
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JOSM
OpenStreetMap community
Advanced OpenStreetMap editor — roads, buildings and infrastructure, with GPS and aerial imagery import.
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QGIS
QGIS.org
Open-source GIS for spatial analysis, layer work and map production.
Get it from the vendorThe bottom line
The shortest path from a real street network to quantitative analysis — free, open and flexible.