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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
```
# Cycling Potential Hackathon: Lisbon
<!-- badges: start -->
<!-- badges: end -->
Welcome to the Cycling Potential Hackathon, Lisbon (CPHL), on reproducible methods for estimating cycling potential, based on a case study of Lisbon, Portugal.
This [GitHub repo](https://github.com/U-Shift/cyclingpotential-hack) contains everything needed to get started with modelling cycling potential, including example data and reproducible code.
Interested in getting involved?
Here's some [key information](https://en.wikipedia.org/wiki/Five_Ws) that will help decide if this is for you and register to participate if so!
## Who?
**The hackathon is organised** by Rosa Felix of the [University of Lisbon](http://ushift.tecnico.ulisboa.pt/team-rosa-felix/) and Robin Lovelace of the [University of Leeds](https://environment.leeds.ac.uk/transport/staff/953/dr-robin-lovelace), who were awarded funding from the Portuguese Association of Researchers and Students in the United Kingdom's Bilateral Research Fund ([PARSUK BRF](https://en.parsuk.pt/brf)) to develop a '[PCT Portugal](http://ushift.tecnico.ulisboa.pt/pct-portugal/)' project building on methods used to develop the Propensity to Cycle Tool ([PCT](https://www.pct.bike/)), which is based on open source software.
**Attendees** are expected to have knowledge of transport planning interventions to enable cycling uptake and/or technical skills needed to analyse, interactively visualise and develop scenarios of cycling uptake.
Experience with the statistical programming language R will be particularly useful, although anyone with experience of front-end or back-end development with open source software will be very welcome.
**Working knowledge of GitHub is highly recommended for collaboration during the hackathon.** [Here is a tutorial example](https://www.youtube.com/watch?v=iv8rSLsi1xo) to get familiarized with GitHub.
## What?
A one day participatory code-focussed hackathon.
The morning will be dedicated to getting up-to-speed with the input data.
The afternoon will be dedicated to the hackathon!
## When?
Friday 25^th^ September, 2020, 10:00 to 16:00 (London/Lisbon time, UTC+1).
See Ical file [here](https://github.com/U-Shift/cyclingpotential-hack/releases/download/2.0.0/Cycling_Potential_Hackathon_Lisbon.ics).
## Where?
Online, we will send a conference link to participants.
## Why?
There is a great need for transparent and actionable evidence to support investment in sustainable transport futures, and cycling uptake in particular.
## Before signing-up
Please take a read of the information below and take a look at (and ideal test) the following resources:
- exercises in the [PCT Training course](https://itsleeds.github.io/pct/articles/pct_training.html)
- Geocomputation with R online [book](https://geocompr.robinlovelace.net/), especially Chapter [12](https://geocompr.robinlovelace.net/transport.html) on transport data
- Papers on the PCT: Lovelace et al. ([2017](https://doi.org/10.5198/jtlu.2016.862)) and Goodman et al. ([2019](https://doi.org/10.1016/j.jth.2019.01.008))
- Lisbon cycling potential and bike network analysis: Abad and Van der Meer ([2018](https://doi.org/10.3390/info9110287) - paper); Abad and Van der Meer ([2018](https://github.com/GeoTecINIT/OpenData4OpenCities/blob/master/Presentations/AGILE_2018_Presentation_Abad-vdMeer.pdf) - presentation)
- Test out the PCT at https://www.pct.bike/
If you plan to use R to develop solutions, please ensure you can reproduce the results of the code shown here: [reproducible-example.R](https://github.com/U-Shift/cyclingpotential-hack/blob/master/code/reproducible-example.R). If your output looks like [this](https://github.com/U-Shift/cyclingpotential-hack/blob/master/reproducible-example.md) congratualtions :tada:🎉 you have the necessary packages installed.
## Agenda
- Introduction to the hackathon: 10:00 - 10:40 (Rosa Felix and Robin Lovelace)
<!-- How we started the collaboration, why Lisbon, aims (importance of free, open and participatory solutions) -->
<!-- Robin on the methods and software underlying the PCT. -->
- Participant introductions: 10:40 - 10:45 (participants)
- Talks: methods for modelling cycling networks: 10:45 - 11:15 (Crispin Cooper and Lorena Abad)
- Check Lorena's presentation and data [here](https://github.com/loreabad6/bna-presentation)
<!-- Crispin to talk about approaches for modelling active transport -->
<!-- Lorena to talk about cycle network analysis in R -->
- Live, interactive demo of data and hack rules: 11:15 - 11:45 (Rosa and Robin)
- Topic pitches 11:45 - 12:00 (participants proposing topics)
Lunch break and finalising teams 12:00 to 13:00
- Hackathon 13:00 - 15:30
- Presentation of results 15:30 - 16:00
<!-- ? someone to assess / 'most creative', best technicallay? -->
## Input datasets
Initial datasets, `.geojson`
1. Desire lines between cities
2. Cycling routes from [cyclestreets.net](cyclestreets.net)
- Fastest
- Balanced
- Quietest
3. Bike counts data
4. Digital Elevation Model for Lisbon area (10m)
[Go to Releases](https://github.com/U-Shift/cyclingpotential-hack/releases/)
## Topics
We have developed ideas for a few hack topics:
* Cycling uptake functions
* Estimating flow between Origins and Destinations using spatial interaction models
* Routing algorithms and routing services - hilliness integration?
* Use of counting points data
* Minimum requirements for a PCT at any place
* How cycling responds locally to different intervention types, e.g. based on cycle counter data
Any further ideas very welcome, feel free to bring your own!
## How to sign up
To sign-up complete [this](https://ushift.tecnico.ulisboa.pt/~ushift.daemon/limesurvey/629464) application form.
## Any questions?
Feel free to ask any questions related to this hackathon on the [issue tracker](https://github.com/U-Shift/cyclingpotential-hack/issues).
## Code of Conduct
Please note that the cyclingpotential-hack project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.