Cycling Potential Hackathon: Lisbon

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 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 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 and Robin Lovelace of the University of Leeds, who were awarded funding from the Portuguese Association of Researchers and Students in the United Kingdom’s Bilateral Research Fund (PARSUK BRF) to develop a ‘PCT Portugal’ project building on methods used to develop the Propensity to Cycle Tool (PCT), 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 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.

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
Geocomputation with R online book, especially Chapter 12 on transport data
Papers on the PCT: Lovelace et al. (2017) and Goodman et al. (2019)
Lisbon cycling potential and bike network analysis: Abad and Van der Meer (2018 - paper); Abad and Van der Meer (2018
- 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. If your output looks like this congratualtions 🎉🎉 you have the necessary packages installed.

Agenda

Introduction to the hackathon: 10:00 - 10:40 (Rosa Felix and Robin Lovelace)
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
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

Input datasets

Initial datasets, .geojson

Desire lines between cities
Cycling routes from cyclestreets.net
- Fastest
- Balanced
- Quietest
Bike counts data
Digital Elevation Model for Lisbon area (10m)

Go to 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 application form.

Any questions?

Feel free to ask any questions related to this hackathon on the issue tracker.

Code of Conduct

Please note that the cyclingpotential-hack project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

U-Shift / cyclingpotential-hack