Which unserved areas are most robot-ready?
The whitespace is real. Five areas score well on the same operability factors DEPLOY uses for active corridors, yet none carries a robot delivery fleet. Pasadena leads at 92 of 100, above several corridors that operators already work. The scores are composites derived from national open data, connectivity from Ookla, grade from USGS, weather from NOAA, extended with city data where it reaches beyond a corridor boundary. Each area's row states which datasets its score rests on, so a high number from national data only is never confused with one backed by full city coverage. The pattern is that operator footprints track existing relationships and permits, not measured readiness, which is exactly where a measured whitespace map earns its keep.
Scores are composites derived from Ookla, USGS, and NOAA open data. How we verify.
Operability score, ranked
Bars show a composite operability score (0 to 100) derived from national open datasets: Ookla connectivity, USGS grade, and NOAA weather, extended with city data where it reaches beyond a corridor boundary. Every area shown carries no robot fleet. Bar length is a share of a 100-point scale.
Source: Ookla Speedtest Open Data, USGS 3DEP, and NOAA climate normals. Score is a composite derived from those datasets, not an operator figure.
The full comparison
All five areas, ranked by derived operability score. Connectivity, grade, and operating days are the measured inputs; the fleet column is the whitespace. The method column states which datasets each score rests on, so a national-data-only score is never read as a full-coverage one.
| Area | Score | Connectivity | Max grade | Operating days | Fleet | Method |
|---|---|---|---|---|---|---|
| Pasadena, CA | 92/100 | 340 Mbps | 2.1% | 330 | Derivedno fleet | National datasets + LA city data extension |
| Culver City, CA | 91/100 | 340 Mbps | 1.5% | 330 | Derivedno fleet | National datasets + LA city data extension |
| Long Beach, CA | 90/100 | 320 Mbps | 1% | 320 | Derivedno fleet | National datasets only |
| Glendale, CA | 88/100 | 340 Mbps | 3.2% | 330 | Derivedno fleet | National datasets + LA city data extension |
| Santa Clara, CA | 86/100 | 237 Mbps | 2.8% | 300 | Derivedno fleet | National datasets only |
Source: Ookla Speedtest Open Data, with USGS 3DEP and NOAA climate normals. The score is a composite derived from these datasets.
Why the whitespace matters
A measured whitespace map is an argument aimed at operators and cities alike. When an area scores above corridors that already have fleets, yet no robot works it, the reason is rarely the streets. It is that deployment follows existing permits, partnerships, and adjacency to current operations. Naming the measured-ready places that no one serves is how a neutral registry turns open data into a decision, without ever claiming a corridor is served when it is not.
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Scores are composites derived from national open data (Ookla connectivity, USGS grade, NOAA weather), extended with city data where it reaches beyond a corridor boundary. Each row states which datasets its score rests on. The fleet column reflects that none of these areas carries a robot delivery fleet. These are open-data facts, not reviewed DEPLOY registry records, so they carry the Derived basis rather than the registry verified chip. How we verify
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