Welcome to Green Paths 2’s documentation!

“In a galaxy of routes, the green path you must choose. Join the Greenside” - Yoda gpt-4, “The Green Paths 2.0: The Return of the Greenery.

Modern route planning platforms do not really give us information on environmental exposures such as noise, air pollution or greenery, during active travel, nor the possibility to choose healthier paths. They should!

Green Paths 2.0 (GP2) is a transferable multi-objective environmental exposure optimization path finding tool written in Python.

GP2 is meant to be used by experts, such as researchers, planners, and developers, and supports one-to-one, one-to-many, and many-to-many path finding.

Flexibility and transferability have been one of the main focus and thus the tools is designed to be usable in any city with some meaningfull exposure data and OSM pbf available.

It gets its efficient path finding using Conveyal’s R5: Rapid Realistic Routing on Real-world and Reimagined networks via python interface of r5py: Rapid Realistic Routing with R5 in Python.

A health index map created with environmental exposures to greenery, air pollution and noise using Green Paths 2.0