Analysing, visualising and modelling of the transport phenomena can greatly enhance understandings of transport systems. New methods, software and applications are empowering more people than ever to map past, current and future travel behaviour. The practical workshop will showcase the evolving power and accessibility of free and open source software for geospatial (FOSS4G) for transport applications – please bring your own laptop with QGIS, R and other tools installed to this workshop.

• Can be flexible depending on demand
• You learn by playing, so don't restrict yourself
• But as a rough indication of times:

1. An introduction to QGIS: 9:10 - 9:20
2. An introduction to R/RStudio: 9:20 - 9:30
3. Work/play on challenges: 9:30 - 10:30
4. Wrap-up + go around what people have been doing

All available online.

For links to all the materials - see https://github.com/Robinlovelace/GIS4TA

See the free, open source, online tutorial github.com/robinlovelace/Creating-maps-in-R.

Can be installed and loaded in 6 lines of code:

RStudio Desktop is highly recommended.

An R interface to the Leaflet JavaScript library, compatible with Shiny.

• Don't worry if you don't finish
• Prioritise either R or QGIS
• Interact with us and others
• Any questions

For links to all the materials - see https://github.com/Robinlovelace/GIS4TA

1. Work through the tutorial "Introduction to R and QGIS for transport applications" (Lovelace 2015) - available from https://github.com/Robinlovelace/GIS4TA/releases/download/0.1/intro-r-qgis-4ta.pdf
2. Likewise for "Route Analysis using R and Google Maps" (Bearman 2015): https://github.com/nickbearman/transport-workshop/raw/master/transport-workshop.pdf
3. Where should new cycle paths be build in Lancaster (or place of your choosing)?
4. Where are all the traffic lights in your local area? (Bonus: why are they there?)
5. How many people would be able to rollerblade to work in the UK?