Schedule

1 Day 1: Introduction to R/RStudio

Day 1 Slides

Time Session
10:00 - 11:00 Introduction to Data Science for Transport Planning
11:00 - 12:30 Finding, importing and cleaning transport datasets
- Origin-destination datasets
- OpenStreetMap (OSM) and Ordnance Survey (OS) OpenRoads datasets
- Stats19 road safety data
12:30 - 13:30 Lunch
13:30 - 15:00 Origin-destination data analysis
15:00 - 15:15 Break and refreshments
15:15 - 17:00 OD Transport data visualisation

2 Day 2

Day 2 Slides

Time Session
09:00 - 10:45 Spatio-temporal data
- Demonstration of open-access OD data with hourly resolution
- Demonstration with stats19 data for road safety analysis
10:45 - 11:15 Break and refreshments
11:15 - 12:30 Routing and route network analysis
- Setting up an interface to a routing engine and using it to calculate routes and distances using GTFS data
12:30 - 13:30 Lunch
13:30 - 15:00 Best practices for data science in transport planning
- Version control with Git and GitHub
- Reproducible research with Quarto
15:00 - 16:00 Advanced topics
- Visualising large datasets
- Route network integration (e.g., OSM networks)
- Deploying your work as web applications

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