Sustainable Transportation Planner for Python¶
Welcome to stplanpy, the Sustainable Transportation Planner for Python. This package is inspired by stplanr, a package for sustainable transport planning with R [LGA+17]. This Jupyter Book shows an example of how to use this Python package. The focus is on origin-destination (flow) data for Stanford University, Palo Alto, and East Palo Alto. Only commutes in the San Francisco Bay Area are considered.
The source code for this package can be found on github.com and documentation is available on github.io.
This library is also hosted on PyPi and can be installed using pip:
pip install stplanpy
References¶
- LGA+17
Robin Lovelace, Anna Goodman, Rachel Aldred, Nikolai Berkoff, Ali Abbas, and James Woodcock. The propensity to cycle tool: an open source online system for sustainable transport planning. Journal of transport and land use, 10(1):505–528, 2017. URL: http://www.jstor.org/stable/26211742.