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README.qmd
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---
format: gfm
title: "Transport network visualisation hackathon"
---
# Introduction
This will be an informal hackathon on generating, modelling and modifying geographic representations of transport networks.
The hackathon will be held on Thursday 3rd October at Institute for Transport Studies (34-40, University Road) room 1.11 from 11:00 to 17:00.
# Aim
The aim of the hackathon is to bring people working on and with an interest in visualising transport networks together to develop new and evolving ideas, techniques and tools.
# Agenda
The event will be split into 2 parts: demo of existing tools plus sharing of ideas and the hackathon itself.
The rough timings will be as follows (these can be adjusted on the day):
- 11:00 - 12:30: Demo of existing tools and sharing of ideas
- 11:00 - 11:15: Introduction and welcome (Robin Lovelace)
- 11:15 - 11:25: Demo of `parenx` package for network simplification and visualisation of networks with Python (Will Deakin)
- 11:25 - 11:35: Demo of reproducible traffic flow visualisation with R (Juan Pablo Fonseca Zamora)
- 11:35 - 11:45: Demonstration of 'core network' generation and visualisation in the Network Planning Tool (Zhao Wang)
- 11:45 - 11:55: Demonstration of visualisation with MapLibre, with reference to `od2net` and the Network Planning Tool for Scotland (Robin Lovelace)
- 11:55 - 12:00: Introduction to TGVE and the hackathon (Layik Hama)
- 12:00 - 12:15: Q&A of ideas for the hackathon
- 12:15 - 13:00: Lunch and networking
- 13:00 - 16:00: Hackathon
- At around 15:00 we will ask teams which teams want to present and take a break
- 16:00 - 17:00: Presentations and discussion
- 16:00 - 16:40: Presentations
- 16:40 - 17:00: Discussion and wrap-up
# Input datasets
We will use existing input datasets including:
- [OpenStreetMap](https://www.openstreetmap.org/)
- [Ordnance Survey Open Roads](https://www.ordnancesurvey.co.uk/products/os-open-roads)
- Data from network planning tools, PCT and Network Planning Tool for Scotland
Although these datasets are available nationally we will provide subsets of them for ease of use:
- Small area (e.g. covering LIDA and direct surroundings)
- Medium area (e.g. covering York)
- Large area (e.g. covering Yorkshire and the Humber)
# Links to tools and reproducible examples
## Parenx-related
- [parenx](https://github.com/anisotropi4/parenx)
- [Extract GB mainline rail data from OpenStreetMap](https://github.com/anisotropi4/magpie)
- [QGIS data visualisation tool](https://qgis.org)
- [GB rail centre-line track-model](https://github.com/openraildata/network-rail-gis) with example showing conversion from SHP to GPKG
- [Project worldpop and Global Human Settlement Layer population data](https://github.com/anisotropi4/puffin) onto a hierachical layers of hexagons
## R-related
- Code with reproducible code for visualising traffic flow data: https://github.com/juanfonsecaLS1/netvis-trafficflows
## Data
- [OpenStreetMap Leeds](https://github.com/anisotropi4/parenx/blob/main/data/osm_leeds.geojson)
- [OpenStreetMap Princes Street, Edinburgh](https://github.com/anisotropi4/parenx/blob/main/data/osm_leeds.geojson)
- [Rail network model Doncaster](https://github.com/anisotropi4/parenx/blob/main/data/rnet_doncaster_rail.geojson)
- [Rail Data Marketplace](https://raildata.org.uk) requires registration
- [World Population data](https://hub.worldpop.org/)
- [Global Human Settlement Layer data](https://publications.jrc.ec.europa.eu/repository/handle/JRC115586)
- Traffic flows (as points):
- [DfT Road traffic statistics](https://roadtraffic.dft.gov.uk/) (AADF)
- [webTRIS](https://webtris.highwaysengland.co.uk/) (Highways)
## Miscilaneous
- [cruse.bike](https://www.cruse.bike/) web application and associated open access [paper](https://doi.org/10.1186/s12544-024-00668-8)
- Illustration of network simplification (in-progress open source paper): <https://nptscot.github.io/networkmerge/>
# Hack ideas
- Comparing network simplification tools to support visualisation of networks
- For example `parenx` vs `spgeo`
- Visualising traffic volumes
- Visualising traffic speeds and other attributes
- Visualising population, urbanisation or pollution characteristics
- Testing out `od2net` and contributing upstream
- Contributing to docs on another open project
# Outcomes
The hackathon will be an opportunity to develop new tools and ideas for network generation and analysis.
It will also build skills and foster collaboration between researchers and practitioners in the field.
- Skills development: hackathons are a great way to learn new skills and share knowledge.
- New tools and better documentation and understanding
- Better documentation of existing projects (e.g. NPT)
- More use cases, identification of bugs and improvements to the tools
- Ideas for future work
- How the tools can be used in policy
- Research directions
## Pitches
Each team will be given the opportunity to present, we will aim to have a maximum of 10 presentations.
# Assessment criteria
The pitches will be judged based on the following criteria:
- Reproducibility
- Attractiveness
- Usefulness
The judges will be:
- Will Deakin (Network Rail, Data Digital and Technology IT Delivery)
- Robin Lovelace (University of Leeds, Institute for Transport Studies, Active Travel England)
- Layik Hama (University of Leeds, School of Computer Science)
# Prerequisites
We expect you to:
1. bring your own machines
2. have installed either "Python and Jupyter" or "R and Rmarkdown". For better results/success it would be great to have `sf` in R and `geopandas` in Python
## Recommended reading
We recommend the following resources for those interested in the topic:
- [`Geocomputation with R`](https://r.geocompx.org/), especially the chapter on [transport](https://r.geocompx.org/transport.html)
- [`Geocomputation with Python`](https://py.geocompx.org/)
# Acknowledgements
This event is organised by LIDA Visualisation Programme. Find out more [here](https://lida.leeds.ac.uk/visualisation/) and signup for the mailing list.
Thanks to LIDA and ITS but particularly to Prof [Roy Ruddle](https://eps.leeds.ac.uk/computing/staff/257/professor-roy-ruddle) for kicking off the LIDA Visualisation Programme.
To join the LIDA Visualization Mailing list, please fill in this [subscription](https://forms.office.com/Pages/ResponsePage.aspx?id=qO3qvR3IzkWGPlIypTW3y5jhSZqudeZJpwi5xjOFh_RURUMxT0QyVFZOQTg4UUJGT1hHQ0lTOTNEMy4u) form.