r5py: Rapid Realistic Routing with R5 in Python

dc.contributor.affiliationUniversity of Helsinki - Fink, Christoph
dc.contributor.affiliationUniversity of Toronto - Klumpenhouwer, Willem
dc.contributor.affiliationInstituto de Pesquisa Econômica Aplicada - Saraiva, Marcus
dc.contributor.affiliationInstituto de Pesquisa Econômica Aplicada - Pereira, Rafael
dc.contributor.affiliationAalto University - Tenkanen, Henrikki
dc.contributor.authorFink, Christoph
dc.contributor.authorKlumpenhouwer, Willem
dc.contributor.authorSaraiva, Marcus
dc.contributor.authorPereira, Rafael
dc.contributor.authorTenkanen, Henrikki
dc.date.accessioned2025-03-24T15:21:16Z
dc.date.issued2022-09-09
dc.date.issued2022-09-09
dc.descriptionR5py 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.
dc.identifierhttps://doi.org/10.5281/zenodo.7060438
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/10810
dc.rightsOpen
dc.rights.licensemit-license
dc.subjectmobility
dc.subjectaccessibility
dc.subjectrouting
dc.subjectpython
dc.subjectR5
dc.subjectOpenTripPlanner
dc.subjecttravel time matrix
dc.subjectOpenStreetMap
dc.titler5py: Rapid Realistic Routing with R5 in Python
dc.typesoftware
dc.typesoftware
Zenodo


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