Headway & span audit
Routes exceeding your peak headway target, short weekday spans, and weekend gaps — surfaced against your own service-standard targets.
Auditable transit analysis
Marga runs deterministic checks across GTFS, ridership, Census, and NTD data. Review service standards, investigate gaps and outliers, and prepare source-backed evidence for project reviews, staff reports, and board materials.
Five routes finish their last weekday trip before 21:00 — worth staff review where evening coverage is a priority.
One of twelve findings Marga surfaces from a typical week's GTFS — source-backed, reviewable, and ready for staff follow-up.
The answers are often already in GTFS, Census, NTD, and agency ridership files. Marga helps planning and data teams connect those sources into clear, defensible findings.
Ask a planning question, inspect the result, and trace it back to the underlying data.
How it works
Send us a link. We load and validate your routes, stops, trips, and schedules.
A Service Snapshot surfaces the headways, gaps, equity coverage issues, and feed-health items worth your attention.
Click any finding to open it in chat — same numbers, same sources, room to ask the follow-up that matters.
What you get
Rerunnable as the data changes. Each finding names its sources, assumptions, and caveats, so staff can verify it before using it in a report or a presentation.
Routes exceeding your peak headway target, short weekday spans, and weekend gaps — surfaced against your own service-standard targets.
ACS block-group overlays for low-income, zero-vehicle, senior, and youth populations. Walkshed checks against your stops. Equity gaps mapped, not just listed.
Missing shapes, calendar exception density, wheelchair flags, expiring feeds — data-quality checks that are easy to miss before a public feed or analysis goes live.
Who it's for
Analyze headways, flag frequency gaps, and evaluate service changes in plain English — every result traceable to the source.
Get clear answers for board presentations and public meetings. Ask a question, cite the data, move on.
Build source-backed cases for equity, coverage gaps, and underserved communities — with outputs staff can review and share.
Live Demo
See how Marga handles real transit queries using the current San Diego MTS GTFS feed. Try asking about routes, schedules, service patterns, and more.
Try it now — no sign-up needed8 routes have inconsistent midday service — the gap between the longest and shortest scheduled headway exceeds 15 minutes. Route 955 is the worst at 23-minute spread, followed by 874 (19 min) and 833 (17 min).
Data sources:
Frequency & gapsSchedule dataEvery figure comes from repeatable analysis of your source data — routes, stops, trips, calendars, and stop times. Estimates, proxies, and limits are labeled, so your team decides how far a result should be pushed.
The language model translates your question into data queries and explains the results in plain English. Every claim cites the underlying data.
Multi-tenant by design. Each agency sees only their own data. No cross-contamination, no shared models, no data brokering.
Get Started
Try the live demo with San Diego MTS data — no sign-up needed. Want to load your agency's GTFS feed? Get in touch and we'll have you up and running in a day.