What is transport_performance?
The performance of transport networks are highly variable throughout and between countries. There is often a lack of consistent and comparable data which can make it difficult to understand these differences. This is typically because of computational complexity, transparency (closed-source and paid services), and data consistency (format and availability).
The transport_performance Python package helps to reduce barriers to transport analysis. It allows developers to:
- Define an urban centre boundary based on population density;
- Inspect, clean, and process public transit timetable data and OpenStreetMap data; and
- Conduct multimodal routing and calculate a range of transport metrics.
Check out the transport performance Docker image 🐳! This aims to simplify the dependency installation and end-to-end use of transport_performance.
Where do I go now?
These docs are structured in accordance with the Diátaxis framework:
Want to get up and running with transport_performance quickly?
Need more details on the methods/tools used within transport_performance?
Looking for guidance on how to get something done (e.g. find input data)?
Interested in learning how to use transport_performance by examples?
Requiring a technical reference covering the transport_performance API?
Want to contribute to the development of transport_performance?
We hope that the open source and public sector communities will collaborate and build on this package. This will help improve both the national and international comparability of transport statistics while enabling higher frequency and more timely comparisons. You can find the transport_performance source code on GitHub.