CTnetwork

CTnetwork is a function-based Python package that enables you to:

• Download street network and POI data from OpenStreetMap per city or bounding box
• Calculate street network centrality metrics such as street betweenness, street sinuosity, and intersection closeness.
• Calculate average widths of space along streets dedicated to pedestrians or bicyclists (i.e., sidewalks or bike paths)

Status

Currently developing.

• [DONE] Download street network and POI data from OpenStreetMap per city or bounding box
• [DONE] Calculate street network centrality metrics such as street betweenness, street sinuosity, and intersection closeness.
• [PENDING] Calculate how accessible the POIs are from different origin locations based on the downloaded street network and different weights.
• [PENDING] Include different metrics of accessibility.

Installation

• Clone the repo
• Run the following command in the terminal:

pip install dist/ctnetwork-0.1.0-py3-none-any.whl

Get started

How to download a city's street network enriched by network centrality measures (intersection closeness, street betweenness, street sinuosity)

Now you can use the functions of the library. For example:

from ctnetwork import streets

streets.get_streets_per_cities(cities=['Delft'],buffer_dist=10, network_type='drive', intersection_clos=False,  street_betw=False, street_sin=False)

streets.get_streets_per_bbox(52.032492, 51.966120, 4.372967, 4.344471, network_type='drive', output_folder='.',intersection_clos=False, street_betw=True, street_sin=False, retain_all=True)

Or check out our Examples Notebook demonstration various functions of ctnetwork!