The robot delivery corridor guide
A route can look perfect on a map and be nearly impossible for a delivery robot. Busy intersections, broken sidewalks, steep hills, bad weather, crowded transit stops, and weak signal can turn a short trip into a hard one. And density decides whether there are even enough nearby orders to make the route worth running at all. DEPLOY measures these conditions block by block, so you can see where robot delivery works today, where it struggles, and where the biggest openings still are.
Every figure comes from open data (OpenStreetMap, GTFS, Ookla, NOAA), comparable across cities and honest about what the numbers can and can’t tell you. See how we measure it.
DEPLOY doesn’t sell robots or promote manufacturers. We measure the conditions, show every source, and let the streets speak for themselves.
Where robots have the most to deliver
Demand density and data coverage: how much a corridor gives a fleet to do per block.
The physical route
The terrain a wheeled robot has to survive: how built-up, how steep, how many crossings.
Transit and connectivity
The shared street: transit intensity and the network coverage a fleet leans on.
Weather and safety
What a corridor throws at a robot: climate exposure, dangerous streets, and where fleets keep out.
Which robot delivery corridors have the worst weather?
Which robot delivery corridors have the worst weather?
Do robot corridors overlap high-injury streets?
Do robot corridors overlap high-injury streets?
How many schools and hospitals sit in each robot corridor?
How many schools and hospitals sit in each robot corridor?
Fit and comparison
Putting it together: whether the robots match their streets, side by side, and where nobody runs yet.
City deep-dives
The full operability read for the two most-tracked metros.
Why corridors, not cities
A city average hides the street a robot actually runs on. Two corridors in the same metro can differ more than two metros: one dense and flat with light transit, the next steep and crossing-heavy on a high-injury street. Measuring per corridor, from open data, is what makes these questions answerable and comparable at all. For the full ranked read across every condition at once, start with how the corridors compare, then open the two city deep-dives.
Browse every tracked corridor →
Related verified answers
Browse the registryAll verified answers
Every corridor question on this hub is answered from open data measured per corridor (OpenStreetMap business and street tags, GTFS transit feeds, Ookla connectivity, NOAA climate), and carries the Measured basis. These are measured-from-open-data facts, not reviewed DEPLOY registry records, so none carries the registry verified chip. How we verify
Start here
How do robot delivery corridors compare?
The ranked read across every condition at once.
Read article →
Do delivery robots match their corridor conditions?
Whether the fleets running each corridor fit its streets.
Read article →
Which robot delivery corridors are densest?
The delivery-target universe, measured from OpenStreetMap.
Read article →
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