Municipality based analysis of public transport coverage (A use case)

This use case is set up to demonstrate how to use OpenTripPlanner to analyse how well the addresses within a municipality are connected to different services. The steps covered are:

• Downloading all Addresses for a Danish municipality
• Downloading OpenStreetMap data for Denmark
• Clipping the OpenStreetMap data using osmium-tool to the Bounding Box of the municipality.
• Downloading the GTFS data for Denmark
• Downloading the NeTEx data for Denmark
• Starting OpenTripPlanner
• Loading the GTFS and clipped OpenStreetMap data into OpenTripPlanner
• Loading the NeTEx and clipped OpenStreetMap data into OpenTripPlanner
• Query a single journey
• Programmatic Query all addressed in a pandas data frame against a data frame fo destinations

Tools used

• Docker
• JupyterLab
• Python
• Pandas
• osmium-tool

Data used

• Addresses
• GTFS
• NeTEx
• OpenStreetMap

Code and configuration for the project can be accessed as a GitHub representative https://github.com/Esbern/transportation-analysis