LTS-OSM - Calculating Level of Traffic Stress using Open Street Map Data

This code calculates cycling Level of Traffic Stress for all road and path segments in a region using data from Open Street Map.

Background

This code is adapted from Bike Ottawa's LTS code, modified to include Level of Traffic Stress for intersections by Madeleine Bonsma-Fisher.

Usage

1. From main you can change the city you want to perform the analysis on.
   • To get the right query details, inspect openstreetmap.org for a relation of the region you want
   • Fill in this info in the city info
2. pip install requirements.txt, ideally in a virtual environment (venv)

TBD:

Plot an isochrone map for different LTS thresholds with isochrone.py. This requires both the saved graph object and the dataframe with LTS levels calculated.

Mapbox

To get started with Mapbox, run the following command to create a geojson plot:

 python main.py plot --format=json

You can run the mapbox webpage with the following command

 python web.py

Vist http://localhost:8000 to view the rendered LTS.

Please note that the geojson file for Boston is 40mb and may render slowly with artifacts