How many street crossings do robot delivery corridors have?
Every driveway a sidewalk robot passes is a point where a car can pull across its path, and every marked crossing is a place it has to read traffic and wait. Measured from OpenStreetMap, the count of pedestrian crossings and driveway curb-cuts varies widely across the tracked corridors. A corridor with more crossings and driveways gives a robot more conflict points and stop-and-go per mile, even if the total distance is the same. These are OSM-tagged counts, so a lighter number can reflect community tagging coverage as much as a genuinely simpler street.
Every count is measured from OpenStreetMap. How we verify.
Crossings and driveways by corridor
| Corridor | Metric | Count | Detail | Basis |
|---|---|---|---|---|
| LA West Side | Pedestrian crossings | 26,294 | 26,294 OSM-tagged pedestrian crossing nodes in LA Westside bbox. Highest of any corridor — reflects large area + dense sidewalk network. | Measured |
| LA West Side | Driveways | 14,652 | 14,652 OSM-tagged service ways (driveways/alleys) in LA Westside bbox. Each is a robot driveway-crossing risk point. | Measured |
| SF Core | Pedestrian crossings | 4,182 | 4,182 OSM pedestrian crossing nodes in SF Core bbox. SF has fewer crossings but higher crossing-signal density (1,507 signals). | Measured |
| SF Core | Driveways | 1,995 | 1,995 OSM service ways (driveways/alleys) in SF Core. Low driveway density = fewer robot crossing risk points. | Measured |
| SF Core | cycleway count | 123 | 123 OSM cycleway ways in SF Core. SF has dedicated bike infrastructure — robots may share or conflict. | Measured |
| Austin | Pedestrian crossings | 4,753 | 4,753 OSM pedestrian crossing nodes in Austin corridor. | Measured |
| Austin | Driveways | 2,796 | 2,796 OSM service ways (driveways/alleys) in Austin corridor. | Measured |
| Chicago | Pedestrian crossings | 11,611 | 11,611 OSM pedestrian crossing nodes in Chicago corridor. Second highest after LA. | Measured |
| Chicago | Driveways | 5,838 | 5,838 OSM service ways (driveways/alleys) in Chicago corridor. Alley-heavy urban form means many robot crossing points. | Measured |
| Phoenix | Pedestrian crossings | 1,133 | 1,133 OSM pedestrian crossing nodes in Phoenix/Tempe corridor. Lowest of any corridor — reflects sprawl urban form with fewer marked crossings. | Measured |
| Phoenix | Driveways | 2,649 | 2,649 OSM service ways (driveways/alleys) in Phoenix/Tempe corridor. | Measured |
| Dallas-Fort Worth | Pedestrian crossings | 5,657 | 5,657 OSM pedestrian crossing nodes in DFW corridor. | Measured |
| Dallas-Fort Worth | Driveways | 5,570 | 5,570 OSM service ways (driveways/alleys) in DFW corridor. Car-dependent urban form = many driveways for robots to cross. | Measured |
| Miami | Pedestrian crossings | 4,192 | 4,192 OSM pedestrian crossing nodes in Miami corridor. | Measured |
| Miami | Driveways | 3,514 | 3,514 OSM service ways (driveways/alleys) in Miami corridor. | Measured |
| Atlanta | Pedestrian crossings | 2,880 | 2,880 OSM pedestrian crossing nodes in Atlanta corridor. | Measured |
| Atlanta | Driveways | 4,276 | 4,276 OSM service ways (driveways/alleys) in Atlanta corridor. | Measured |
| Alexandria, VA | Driveways | 1,508 | 1,508 OSM service ways (driveways/alleys) in Alexandria corridor. Pedestrian crossing query timed out — documented gap. | Measured |
Source: OpenStreetMap via Overpass API (pedestrian-crossing nodes and service-way / driveway tags per corridor bounding box). Counts reflect OSM tagging coverage.
Why crossings and driveways matter for sidewalk robots
A sidewalk delivery robot spends most of its route on the sidewalk, but the hard moments are the edges: a marked crossing means reading a signal and yielding to traffic, and a driveway means a car may reverse or pull out across the robot's path with little warning. More of both per mile means more places for a robot to stop, hesitate, or get blocked. Because these are OpenStreetMap counts, a lower number can partly reflect under-tagging as well as a genuinely calmer street.
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Every count is measured from OpenStreetMap tags via the Overpass API per corridor bounding box and carries the Measured basis. OSM is community-tagged, so a lighter count can reflect tagging coverage rather than a genuinely simpler street. These are measured-from-open-data facts, not reviewed DEPLOY registry records, so none carries the registry verified chip. How we verify
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