FIELD / 01
SEATTLE ALS
LIVE SIMULATION
47.61° N / 122.33° W
FIELD / 01  —  SEATTLE ADVANCED LIFE SUPPORT

Where should Seattle park
its ambulances?

A simulator that replays a year of real Seattle ambulance calls against two fleets. The left fleet uses the city's actual posts. You set up the right one, press run, and compare response times.

01THE SIMULATION  ·  RUNNING LIVE, CALL BY CALL
SEATTLE MEDIC ONE  ·  2025 HOLDOUT  ·  DISPATCHES
A · SEATTLE'S ACTUAL POSTS8 units · never moves
B · CHALLENGER
CLOCK— PROGRESS0.0% SELF-TEST PENDING
under 4 min 4–8 8–12 over 12 ◆ staffed post → relocatingtract fill = live mean response there

Both panes get the same calls at the same clock. Service durations come from the same hash-seeded draws the Python study used, exported per incident, so the two engines cannot quietly drift apart. When the page loads it re-runs the full year for every policy and compares its answers against the Python ones. The badge above shows the biggest disagreement it found.

02PREMISE

Relocation does show a gain.
I wanted to know how big it really is.

Dynamic relocation means moving idle ambulances between posts during the day to follow where the calls are coming from. It is a well studied idea in operations research and there are companies selling it. What I wanted to check was whether the gain survives once you charge every move the time it actually takes to drive, and whether just parking the same units in better spots would have done more.

03RESULT

Once a move costs what it really costs,
staying put wins.

FULL-YEAR RESULT, EVERY POLICY, AT YOUR CURRENT SETTINGS
MEAN RESPONSE VS COST OF A MOVE

Recomputed live. Drag the relocation-cost slider and this redraws; the flat line is the policy that never moves.

04METHOD & LIMITS

What is real

What is modelled

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