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r5py: Rapid Realistic Routing with R5 in Python

Authors: Fink, Christoph; Klumpenhouwer, Willem; Saraiva, Marcus; Pereira, Rafael; Tenkanen, Henrikki;

r5py: Rapid Realistic Routing with R5 in Python

Abstract

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, the routing engine developed by Conveyal. r5py is inspired by r5r, a wrapper for R, and the library is designed to interact with GeoPandas GeoDataFrames. R5py offers a simple way to run R5 locally with Python, allowing the users to calculate travel time matrices and accessibility by different travel modes. To get started, see a detailed demonstration of the r5py in action from the Usage -section. Over time, r5py will be expanded to incorporate other functionalities from R5.

This record refers to version 0.0.4 of r5py (up-to-date as of 2022-09-09). Up-to-date versions are available from PyPi, conda-forge and the project's web page https://r5py.readthedocs.io/

Keywords

python, routing, R5, travel time matrix, OpenStreetMap, OpenTripPlanner, mobility, accessibility

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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4
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158
5