knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

walkcyclecalcs

The goal of walkcyclecalcs is to provide functions which can be used to estimate the physical capability of populations of individuals to make journeys by walking or cycling. This is useful of you want to know things like who could get to work if there was a shock reduction in fuel availability for motor vehicles. It is also useful if you want to understand whether it's reasonable to assume everyone in a community has the physical capability to make use of new cycle infrastructure or could walk to the nearest bus-stop.

The following paper provides an explanation and rationale for the functions.
Philips, I., Watling, D., Timms, P., 2018. Estimating Individual Physical Capability (IPC) to make journeys by bicycle. International Journal of Sustainable Transportation 12. http://dx.doi.org/10.1080/15568318.2017.1368748

This paper explains how one might generate a synthetic population of individuals so that you can estimate the variety physical fitness attributes that people within a community posess.
Philips, I., Clarke, G.P., Watling, D., 2017. A Fine Grained Hybrid Spatial Microsimulation Technique for Generating Detailed Synthetic Individuals from Multiple Data Sources: An Application To Walking And Cycling . International Journal of Microsimulation 10, 167–200. https://microsimulation.org/IJM/V10_1/IJM_2017_10_1_6.pdf

The work in the papers began as a PhD Thesis:
Philips, I., 2014. The potential role of walking and cycling to increase resilience of transport systems to future external shocks. (Creating an indicator of who could get to work by walking and cycling if there was no fuel for motorised transport) (phd). University of Leeds. http://etheses.whiterose.ac.uk/7349/

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("DrIanPhilips/walkcyclecalcs")

Example (Under construction)

This will have a basic example which shows you how to solve a common problem:

library(walkcyclecalcs)
## basic example code

What is special about using README.Rmd instead of just README.md? You can include R chunks like so:

summary(cars)

You'll still need to render README.Rmd regularly, to keep README.md up-to-date.

You can also embed plots, for example:

plot(pressure)

In that case, don't forget to commit and push the resulting figure files, so they display on GitHub!



DrIanPhilips/walkcyclecalcs documentation built on June 28, 2019, 9:06 p.m.