ACTON, which stands for active transport options for new developments, is a research project that provides provide evidence for local authorities, housing developers and civil society groups to support planning and investment that enables the walking and cycling revolution that is needed to tackle health and environmental issues. To make the results of the research more reproducible and accessible to others, it is also an R package.
In first place, ACTON is about evidence-based planning and that means it is about data. ACTON provides easy access to actionable data from 4 main sources, each of which is already in the public domain, which had never before been made available in a single place or analysed together to support planning, as illustrated in the schematic diagram below.
The four main data sources shown above are:
ACTON seeks to make these datasets more widely accessible and actionable by combining them and using them to assess walking and cycling provision in and around new developments, to inform policies and investment
To install the
acton package, run the following commands in an R console (see here for information on installing R):
To get routes from CycleStreets.net, you will need to set-up an API key called CYCLESTREETS with
usethis::edit_r_environ(), as documented here: https://docs.ropensci.org/stplanr/reference/route_cyclestreets.html#details
The package can be used to get data on new developments as follows:
library(acton) # data from specific postcode planning_data = get_planit_data(pcode = "LS2 9JT", limit = 2, app_size = "large") #> Getting data from https://dev.planit.org.uk/api/applics/geojson?limit=2&bbox=&end_date=2020-04-16&start_date=2000-02-01&pg_sz=2&pcode=LS2%209JT&app_size=large planning_data #> Simple feature collection with 2 features and 26 fields #> geometry type: POINT #> dimension: XY #> bbox: xmin: -1.553865 ymin: 53.80698 xmax: -1.552019 ymax: 53.80897 #> geographic CRS: WGS 84 #> # A tibble: 2 x 27 #> address altid app_size app_state app_type associated_id authority_id #> <chr> <chr> <chr> <chr> <chr> <chr> <int> #> 1 Old Mi… <NA> Large Permitted Full <NA> 292 #> 2 Univer… <NA> Large Permitted Full <NA> 292 #> # … with 20 more variables: authority_name <chr>, consulted_date <chr>, #> # decided_date <date>, description <chr>, distance <dbl>, docs <chr>, #> # lat <dbl>, link <chr>, lng <dbl>, name <chr>, other_fields <chr>, #> # postcode <chr>, rec_type <chr>, reference <chr>, source_url <chr>, #> # start_date <date>, uid <chr>, url <chr>, when_updated <dttm>, #> # geometry <POINT [°]> planning_data$name #>  "Leeds/17/03618/FU" "Leeds/12/04663/FU" planning_data$description #>  "6 storey new build research and teaching building; alterations to listed building; new landscaped public realm and alterations to the Clarendon Road/Cemetery Road junction" #>  "Demolition of existing buildings and erection of a 6 storey library with ancillary landscaping"
For a more detailed overview explaining how to use the package see the
For results of research into active travel opportunities in and around new developments in case study regions, see the
For documentation on each of the package’s functions, see the Reference page.