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The Innovation Majority Institute  ·  Policy Sandbox

Mobility Mayor.

The D.C. robotaxi policy sandbox

In this sandbox, you’re an all-powerful mayor. You decide how many AVs are allowed on the streets, what fees riders pay on every ride, and whether every ward gets equal service. Choose an archetype or move the sliders to watch how service, equity, fares, and city revenue move across all eight wards. New to these policy levers? Start with the explainer.

Tier 1 prototype · v3
Illustrative model — see methodology
Compare
Mayor archetype
Avg wait40.4 min
Typical fare$17.20
Trips/day5,904
About the Allen Bill (B26-0684)
Councilmember Charles Allen has proposed a law that would eventually allow autonomous vehicles (AVs) to serve D.C. — pairing a rigorous permitting program with a wait-time-parity requirement that holds wait times in every ward close to the citywide average, and an initial cap of 200 vehicles per operator.
What this means

Most riders face long waits — 40.4 minutes on average — so AVs aren't a realistic option across much of the city.

The equity scores read modestly because everyone is served thinly, not because of unfairness. The binding constraint is fleet size.

Where service is offered

W1W2W3W4W5W6W7W8AnacostiaPotomac
Service quality:
None
Minimal
Limited
Partial
Good
Excellent
Per-ward detail· directional estimates
WardNeighborhoodsVehiclesWaitMarginService
W1Columbia Heights · Adams Morgan · Mt. Pleasant5638.1 min$7.7910%
W2Downtown · Georgetown · Dupont · Foggy Bottom9634.1 min$8.5114%
W3Tenleytown · AU Park · Cleveland Park4044.1 min$6.715%
W4Petworth · Brightwood · Takoma3244.1 min$6.715%
W5Brookland · Trinidad · Eckington3642.1 min$7.076%
W6Capitol Hill · Navy Yard · SW Waterfront8036.1 min$8.1512%
W7Deanwood · Benning · Hillcrest3252.1 min$5.265%
W8Anacostia · Congress Heights · Bellevue2854.1 min$4.905%
About this model

Operators allocate vehicles across wards proportional to (demand × margin), or — with wait-time parity on — to demand share alone. Per-ward wait time is a function of local vehicle density vs local demand, modulated by a density / spread factor. Service level is derived from wait time. Baseline parameters (addressable demand, per-vehicle daily cost, fare elasticity, ward demand shares, density factors) are calibrated from public data and industry benchmarks but are not production-grade forecasts. The model expresses directional logic of policy tradeoffs, not precise outcomes. The full methodology documents every parameter and its source.

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© The Innovation Majority InstituteEducational tool. Map is schematic, not cartographic.