Skip to content
Reproducible analysis of UK 'Stats19' data in R
TeX R
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
cars-vs-bikes
figures
geodata
gpx-data
listener
nts
perception
stat19
video-routes
.gitignore
LICENSE
README.Rmd
README.md
Road-Accident-Safety-Data-Guide-1979-2004.xls
WYall.RData
bikeR.Rproj
cyclesafety.bib
leeds.qgs
perception-accidents.md
stat19.Rmd
wb.RData

README.md

bikeR - a repository for studying risk to people on bicycles, using R

Note

If you are looking to do reproducible road traffic safety research, please check out the stats19 package and accompanying paper (Lovelace et al. 2019).

Introduction

Welcome to bikeR, a store of code and example data underlying research into cycling and the associated risks.

The main branch of this work so far has been an analysis of STATS19, resulting in a paper published in the journal Transportation Research Part F: Traffic Psychology and Behaviour (Lovelace, Roberts, and Kellar 2016).

Of course, an open access version of the pdf is available online, here. The source code used to generate the paper can be found here.

The reasons for putting this research online are:

  • To allow others to perform the analysis conducted by me for West Yorkshire for other parts of Great Britain and perhaps the world, without reinventing the wheel.

  • To help people learn R in general, an open source language for empowering oneself with the tools to extract meaning from data and make visualisations, like this one - see (Lovelace, Nowosad, and Meunchow 2019):

To be specific, the code used to produce this map in R can be found here: github.com/Robinlovelace/bikeR/blob/master/stat19/whereWards.R

  • To encourage reproducibility, a conerstone of scientific research, in downloading road data (Padgham et al. 2017)

References

Lovelace, Robin, Malcolm Morgan, Layik Hama, and Mark Padgham. 2019. “Stats19: A Package for Working with Open Road Crash Data.” Journal of Open Source Software. https://doi.org/10.21105/joss.01181.

Lovelace, Robin, Jakub Nowosad, and Jannes Meunchow. 2019. Geocomputation with R. CRC Press. http://robinlovelace.net/geocompr.

Lovelace, Robin, Hannah Roberts, and Ian Kellar. 2016. “Who, Where, When: The Demographic and Geographic Distribution of Bicycle Crashes in West Yorkshire.” Transportation Research Part F: Traffic Psychology and Behaviour, Bicycling and bicycle safety, 41, Part B. https://doi.org/10.1016/j.trf.2015.02.010.

Padgham, Mark, Robin Lovelace, Maëlle Salmon, and Bob Rudis. 2017. “Osmdata.” The Journal of Open Source Software 2 (14). https://doi.org/10.21105/joss.00305.

You can’t perform that action at this time.