New blog post: Trip times before and after the #MadisonWI metro #transit network redesign. Using #r5r and #rstats. https://haraldkliems.netlify.app/posts/before-and-after-the-metro-network-redesign/

The weather is awful, and so I'm learning how to use the #R5R #rstats package for accessibility analysis. Our #transit system in #MadisonWI is about to implement a major network redesign in June, and R5R easily allows before/after comparisons. E.g. you can provide a list of origins/destinations and calculate total trips times for every minute of a certain time period and then average those trip times.

Last week @tenkahen and @dhersz delivered at @CASAUCL a bilingual workshop on accessibility modelling using both #r5py (#Python) & #r5r (#rstats)

r5r: https://ipeagit.github.io/r5r/
r5py: https://r5py.readthedocs.io/

Doing transport accessibility analysis has never been so easy :)
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RT @tenkahen
Thanks for the brilliant @CASAUCL students who were eager to learn accessibility modelling with #r5py & #r5r. My first workshop combining #Py…
https://twitter.com/tenkahen/status/1599689869130813440