The Sustainable Transportation Planner for Python is a library focused on active transportation and transit. It was inspired by the stplanr library for R
Project description
Welcome to stplanpy
Welcom to the Sustainable Transportation Planner for Python. This package is inspired by stplanr, a package for sustainable transport planning with R [1] and can be used to analyze American community survey (ACS) origin-destination (OD) data. This data is provided by the American Association of State Highway and Transportation Officials (AASHTO) through their Census Transportation Planning Products Program (CTPP).
Documentation for this package can be found on github.io and an example of how to use the various functions in this package can be found in a Jupyter Notebook.
This library is also hosted on PyPi and can be installed using pip:
pip install stplanpy
An online interactive version of this code for the San Francisco Bay Area can be found on heroku.
References
[1] Robin Lovelace, Anna Goodman, Rachel Aldred, et al., "The Propensity to Cycle Tool: An open source online system for sustainable transport planning", Journal of transport and land use, vol 10, no 1, pp 505-528, 2017, url: https://www.jstor.org/stable/26211742
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