Transport Accessibility Measures
Overview
A set of fast and convenient functions to help conducting accessibility analyses. Given a pre-computed travel cost matrix and a land use dataset (containing for example the location of jobs, healthcare and population), the package allows one to calculate accessibility levels, and accessibility poverty and inequality. The package covers the majority of the most commonly used accessibility measures (such as cumulative opportunities, gravity-based and floating catchment areas methods), some cutting edge measures proposed in the literature (e.g. balancing cost and constrained accessibility) as well as the most frequently used inequality and poverty metrics (such as the Palma ratio, the concentration and Theil indices and the FGT family of measures).
New features
- New function
constrained_accessibility(), which implements the family of
constrained accessibility measures proposed in \url{https://doi.org/10.1371/journal.pone.0335951}
Minor changes
- The function
fgt_poverty()has a new argumentpoor_below_threshold. when
set to TRUE (default,) the observations below the poverty line are considered
to be poor. This is the correct approach for primal accessibility measures (e.g.
cumulative accessibility). If FALSE, then observations above the poverty line
are considered to be poor. This is the correct approach for dual accessibility
measures (e.g. travel time to the closest facility). When set to FALSE, FGT 1
and 2 do not have an upper bound. Closes #63
From NEWS.md in the release
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 23 (4 internal)includes a package overview page
- Examples that run
- 100%22 run in a plain check (18 of them under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 95%
- Help pages citing references
- 35% with a bibliography file
Downloads
Repository
Moved from ipeagit/accessibility.
- PRs merged (all time)
- 83%
- Median days to close, 50 most recently updated closed issues
- 14
- Median days to close, 50 most recently updated closed PRs
- 9
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14 development-tooling and community-health practices detected across 9 families in the upstream repository
Checks run against github.com/ipeagit/accessibility on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-10-21 · The repository has a site deploy workflow
pkgdown site last built 2026-08-23
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This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-10-20Seen in the repository: .claude, CLAUDE.mdNamed in .Rbuildignore: CLAUDE.mdNamed in .gitignore: .claude
Dependencies
Installing accessibility adds 53 packages (27 with compiled code, 53 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Previously maintained by Rafael H. M. Pereira (0.1.0).
Pick two releases to compare their code metrics.
- 1.5.0Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.4.0
- 1.3.02023-10-20 · diff ↗
- 1.2.0
- 1.1.02023-06-22 · diff ↗ ·
added 5 exports
balancing_cost, fgt_poverty, gini_index, palma_ratio, spatial_availability - RR 4.3.0 released · 2023-04-21
- 1.0.12022-10-06 · diff ↗
- 1.0.02022-07-23 · diff ↗ ·
removed 4 exports
cumulative_time_cutoff, cumulative_time_interval, gravity_access, time_to_closestadded 5 exports
cost_to_closest, cumulative_cutoff, cumulative_interval, decay_stepped, gravity - 0.1.02022-06-30
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-06-30
- Total releases
- 8 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 2.6 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("accessibility")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.