Coverage gaps
realWhere the region is under-covered — cells whose nearest stop is more than a 0.25-mile walk.
Widest gaps
Density / walk-distance heuristic over real stop geometry. Not demand-weighted — no ridership or population data in this demo.
LA Westside · analysis over normalized regional transit data
A few numbers pulled from Google Analytics into a hand-built spreadsheet. Slow, manual, shallow.
Analysis computed over the normalized feed, refreshing on its own — surfacing things a spreadsheet cannot produce by hand.
Where the region is under-covered — cells whose nearest stop is more than a 0.25-mile walk.
Density / walk-distance heuristic over real stop geometry. Not demand-weighted — no ridership or population data in this demo.
Carrier-published stops normalized to physical stops. This is the value RIITS owns.
– duplicates collapsed (–), – shared across both carriers.
Vehicles in service and on-time performance by carrier.
Stitched automatically from the cards above. Lines tagged [Simulated] use illustrative figures; the rest are computed from real feed data.