2021
DOI: 10.32866/001c.21262
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r5r: Rapid Realistic Routing on Multimodal Transport Networks with R5 in R

Abstract: Routing is a key step in transport planning and research. Nonetheless, researchers and practitioners often face challenges when performing this task due to long computation times and the cost of licensed software. R5 is a multimodal transport network router that offers multiple routing features, such as calculating travel times over a time window and returning multiple itineraries for origin/destination pairs. This paper describes r5r, an open-source R package that leverages R5 to efficiently compute travel ti… Show more

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Cited by 101 publications
(82 citation statements)
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References 9 publications
(8 reference statements)
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“…Using the GTFS dataset as a basis, we leveraged an open-source transport analysis tool -r5r R-package (Pereira et al 2021)-to estimate total transit travel times as well as out-of-vehicle walking/waiting times, which are important factors for measuring transit-based accessibility (Kim and Lee 2019;Lee and Miller 2020). We also used the r5r toolkit to measure variances in travel times from each neighborhood unit to City Hall within a two-hour time window (6-8 AM).…”
Section: Resultsmentioning
confidence: 99%
“…Using the GTFS dataset as a basis, we leveraged an open-source transport analysis tool -r5r R-package (Pereira et al 2021)-to estimate total transit travel times as well as out-of-vehicle walking/waiting times, which are important factors for measuring transit-based accessibility (Kim and Lee 2019;Lee and Miller 2020). We also used the r5r toolkit to measure variances in travel times from each neighborhood unit to City Hall within a two-hour time window (6-8 AM).…”
Section: Resultsmentioning
confidence: 99%
“…In the absence of travel behavior information during the pandemic we suggest this is an inevitable limitation of the analysis. Third, we use the r5r (Pereira, Saraiva, et al 2021) package to calculate the travel time from each parcel to all pharmacies by three modes using a cutoff value of 180 min and a maximum walking distance of 10,000 m. These thresholds are chosen to maximize the coverage of the travel time tables, but the analysis, as explained next, is based on travel to the nearest approved pharmacy.…”
Section: Resultsmentioning
confidence: 99%
“…Travel time tables for three modes (car, transit, walking) were computed using the parcels as the origins and the locations of the community and emergency food service locations as the destinations. For routing, the package r5r ( Pereira et al, 2021b ) was used with a network extract for the City of Hamilton from OpenStreetMaps and the General Transit Feed Specification (GTFS) files for the Hamilton Street Railway, the local transit operator, as well as for Burlington Transit, which operates some service in the city. For transit routing purposes we used maximum travel time values of 300 min and a 2000 m cap on walking distance: any destination that exceeded these thresholds was ignored.…”
Section: Methodsmentioning
confidence: 99%