OpenTripPlanner for R

Morgan, Malcolm; Young, Marcus; Lovelace, Robin; Hama, Layik

doi:10.21105/joss.01926

Cited by 36 publications

(20 citation statements)

References 2 publications

(2 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Availability of source code with a visible open source license A secondary filter was used to focus attention on tools for analysis: projects whose primary purpose is to provide an interface to an existing software/services, such as the R package opentripplanner (e.g. Morgan et al 2019;Giraud 2019) and routing engines (Luxen and Vetter 2011;Padgham 2019) are omitted from Table 2 for brevity (routing engines are mentioned in the final section of the paper). Tools can be classified in a variety of ways from a developer's perspective including sometimes tribal 'ecosystems' such as R packages, Python packages and QGIS plugins.…”

Section: Methods To Identify Open Source Toolsmentioning

confidence: 99%

“…The package takes an explicitly geographic approach to transport planning and many of the functions use geographic operations such as buffers and spatial aggregation in workflows that start with origin-destination data and end with estimates of travel demand down to the route network level under different scenarios of change (Lovelace and Ellison 2018). Opentripplanner is an R package for multi-modal routing and accessibility analysis that provides an interface to the OpenTripPlanner Java library, enabling not only calculation of travel times and route geometries but also monetary costs and accessibility isochrone maps where GTFS data allow (Morgan et al 2019).…”

Section: Command-line Interface (Cli) Toolsmentioning

confidence: 99%

See 1 more Smart Citation

Open source tools for geographic analysis in transport planning

Lovelace

2021

J Geogr Syst

Self Cite

View full text Add to dashboard Cite

Geographic analysis has long supported transport plans that are appropriate to local contexts. Many incumbent ‘tools of the trade’ are proprietary and were developed to support growth in motor traffic, limiting their utility for transport planners who have been tasked with twenty-first century objectives such as enabling citizen participation, reducing pollution, and increasing levels of physical activity by getting more people walking and cycling. Geographic techniques—such as route analysis, network editing, localised impact assessment and interactive map visualisation—have great potential to support modern transport planning priorities. The aim of this paper is to explore emerging open source tools for geographic analysis in transport planning, with reference to the literature and a review of open source tools that are already being used. A key finding is that a growing number of options exist, challenging the current landscape of proprietary tools. These can be classified as command-line interface, graphical user interface or web-based user interface tools and by the framework in which they were implemented, with numerous tools released as R, Python and JavaScript packages, and QGIS plugins. The review found a diverse and rapidly evolving ‘ecosystem’ tools, with 25 tools that were designed for geographic analysis to support transport planning outlined in terms of their popularity and functionality based on online documentation. They ranged in size from single-purpose tools such as the QGIS plugin AwaP to sophisticated stand-alone multi-modal traffic simulation software such as MATSim, SUMO and Veins. Building on their ability to re-use the most effective components from other open source projects, developers of open source transport planning tools can avoid ‘reinventing the wheel’ and focus on innovation, the ‘gamified’ A/B Street https://github.com/dabreegster/abstreet/#abstreet simulation software, based on OpenStreetMap, a case in point. The paper, the source code of which can be found at https://github.com/robinlovelace/open-gat, concludes that, although many of the tools reviewed are still evolving and further research is needed to understand their relative strengths and barriers to uptake, open source tools for geographic analysis in transport planning already hold great potential to help generate the strategic visions of change and evidence that is needed by transport planners in the twenty-first century.

show abstract

Section: Methods To Identify Open Source Toolsmentioning

confidence: 99%

Section: Command-line Interface (Cli) Toolsmentioning

confidence: 99%

Open source tools for geographic analysis in transport planning

Lovelace

2021

J Geogr Syst

Self Cite

View full text Add to dashboard Cite

show abstract

“…While there are several open-source routing packages available for R, they either do not support public transport networks (Padgham 2019), or primarily focus on providing point-to-point routes rather than origin-destination travel time matrices (Morgan et al 2019;Lovelace and Ellison 2019). Most routing algorithms find paths to all points in the network while finding a single route.…”

Section: Questionsmentioning

confidence: 99%

r5r: Rapid Realistic Routing on Multimodal Transport Networks with R⁵ in R

et al. 2021

View full text Add to dashboard Cite

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 time matrices and generate detailed itineraries between sets of origins and destinations at no expense using seamless parallel computing.

show abstract

“…As of version 1, OTP uses an algorithm called A-star for routing walk and cycle trips while any trips that involve transit use a mix of A-star and the Tung-Chew heuristic (OTP, 2020). Interfacing with OTP is facilitated through the opentripplanner package for R (Morgan et al, 2019) and in Python through the use of a customized script based on Allen (2020) and Pereira et al (2019).…”

Section: Assessment Of Place-based Accessibility Toolsmentioning

confidence: 99%

Calculating place-based transit accessibility: Methods, tools and algorithmic dependence

Higgins

Palm

DeJohn

et al. 2022

JTLU

View full text Add to dashboard Cite

To capture the complex relationships between transportation and land use, researchers and practitioners are increasingly using place-based measures of transportation accessibility to support a broad range of planning goals. This research reviews the state-of-the-art in applied transportation accessibility measurement and performs a comparative evaluation of software tools for calculating accessibility by walking and public transit including ArcGIS Pro, Emme, R5R, and OpenTripPlanner using R and Python, among others. Using a case study of Toronto, we specify both origin-based and regional-scale analysis scenarios and find significant differences in computation time and calculated accessibilities. While the calculated travel time matrices are highly correlated across tools, each tool produces different results for the same origin-destination pair. Comparisons of the estimated accessibilities also reveal evidence of spatial clustering in the ways paths are calculated by some tools relative to others at different locations around the city. With the growing emphasis on accessibility-based planning, analysts should approach the calculation of accessibility with care and recognize the potential for algorithmic dependence in their calculated accessibility results.

show abstract

OpenTripPlanner for R

Cited by 36 publications

References 2 publications

Open source tools for geographic analysis in transport planning

Open source tools for geographic analysis in transport planning

r5r: Rapid Realistic Routing on Multimodal Transport Networks with R⁵ in R

Calculating place-based transit accessibility: Methods, tools and algorithmic dependence

Contact Info

Product

Resources

About

OpenTripPlanner for R

Cited by 36 publications

References 2 publications

Open source tools for geographic analysis in transport planning

Open source tools for geographic analysis in transport planning

r5r: Rapid Realistic Routing on Multimodal Transport Networks with R5 in R

Calculating place-based transit accessibility: Methods, tools and algorithmic dependence

Contact Info

Product

Resources

About

r5r: Rapid Realistic Routing on Multimodal Transport Networks with R⁵ in R