For a research project I’m doing, I’m looking for especially inspiring examples of a public transit authority using performance data to explain why they are deploying some services and not others, in the context of limited resources. I’m especially interested in examples of efforts that:
- Explain the goals that underlie the service decisions, and how these intersect with the data to produce decisions.
- Help the public see whole-of-network consequences of service decisions, rather than just talking about the performance of each line or route as though it were a separate product.
In this effort, I’m not thinking about service redesigns, so much as everyday decisions about how much to prioritize improvements to one area rather than another, given lots of needs and limited resources.
Welcome your thoughts in the comments. Thanks!