#r5py — Public Fediverse posts

Pythonで爆速ルート検索！R5pyの構築とR5Rとの違いを紹介！
https://qiita.com/ko_wa/items/48bfb58db9e52d72ee93?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #経路検索 #公共交通 #R5py #R5R

Hello world! 👋 We're excited to launch social channels for #r5py, the Python package for super-fast multimodal #traveltime and #accessibility calculations using #OSM & #GTFS data. Follow us for tips, updates, and examples! #r5py #GeoSpatial #Python #UrbanPlanning #GIS #Mapstodon

Hello world! 👋 We're excited to launch social channels for #r5py, the Python package for super-fast multimodal #traveltime and #accessibility calculations using #OSM & #GTFS data. Follow us for tips, updates, and examples! #r5py #GeoSpatial #Python #UrbanPlanning #GIS #Mapstodon

Hello world! 👋 We're excited to launch social channels for #r5py, the Python package for super-fast multimodal #traveltime and #accessibility calculations using #OSM & #GTFS data. Follow us for tips, updates, and examples! #r5py #GeoSpatial #Python #UrbanPlanning #GIS #Mapstodon

Hello world! 👋 We're excited to launch social channels for #r5py, the Python package for super-fast multimodal #traveltime and #accessibility calculations using #OSM & #GTFS data. Follow us for tips, updates, and examples! #r5py #GeoSpatial #Python #UrbanPlanning #GIS #Mapstodon

Hello world! 👋 We're excited to launch social channels for #r5py, the Python package for super-fast multimodal #traveltime and #accessibility calculations using #OSM & #GTFS data. Follow us for tips, updates, and examples! #r5py #GeoSpatial #Python #UrbanPlanning #GIS #Mapstodon

Some days are just better.

It is rewarding to see an analysis go brrrrrrrr after spending a lot of time trying to solve some problems in my pipeline, automating many steps, figuring out how #r5r and #r5py work, and circumventing some hard-coded problems of R5.

I am wondering if the generation of an #isochrone is slower or faster compared to generating a grid-based travel-time matrix with #R5R or #R5py.

Both would get me the result I want in slightly different ways. I need to calculate the travel times to all somewhat major border crossing points in Europe. Calculating 30, 60 and 90 minute isochrones (private car) for Finland's 12 over-land points is taking over an hour in R5R, which is not optimal given that there are 1800+ points across Europe.

"R⁵py is a #Python library for rapid realistic routing on multimodal transport networks (walk, bike, public transport, and car). It provides a simple and friendly interface to R⁵, the Rapid Realistic Routing on Real-world and Reimagined networks, a routing engine developed by Conveyal. #r5py is inspired by r5r, a wrapper for R, and it is designed to interact with #GeoPandas #GeoDataFrames."

https://r5py.readthedocs.io/stable/

EDIT: updating the URL...

via @waeiski

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