Predictive London taxi and private-hire demand model

Predictive London taxi and private-hire demand model: forward-looking demand-surge forecasts that fuse London event schedules (concerts, sporting fixtures, West End performances, with event end-times) against live airport arrival-delay data and rail and Underground disruption feeds, producing hotspot predictions, a seven-day demand forecast calendar, and end-time alerts for a single defined urban area. The consumer product is an iPhone app sold on subscription; the underlying asset is the fused multi-source demand-forecast series and, as the app acquires users, the realised-outcome data that scores each forecast.

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Coverage

Universe, instruments and categories.

Industry: Application SoftwarePassenger Ground Transportation
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Structured forecast data (event records with venue, type and end-time; flight-scheduled versus revised-arrival deltas; disruption events with line and segment) fused into spatial-temporal demand scores by London zone and hour, rendered as map heatmaps and a calendar in a mobile app. No public file export or API is documented.
Volume: Small and young, but structurally interesting: London's full event calendar (venue, type, capacity proxy, start and end time) across concerts, sport and West End, plus continuous arrival-delay deltas for London's airports and live rail and Underground disruption events, fused into hourly zone-level demand scores and a rolling seven-day forecast. Volume is in the tens of thousands of forecast records per year for one city rather than in raw observations — the record count grows with retained forecast history, not with driver traffic.
Users: N/A at present — newly launched consumer app with a seven-day free trial and no published download, registration or subscriber count. Expect a small early base consistent with a recent iOS-only launch; request the figure directly, as it determines whether the forecast-outcome archive has any analytical weight.
History: not stated
Update frequency: not stated
Growth: Active at launch stage — a current product announcement, a live App Store listing, an active vendor site with premium subscription tiers, and no Android release yet. Early-venture trajectory with unproven retention; no funding or customer milestone is disclosed.
Launched: 2026 — a launch announcement dated to this period for an iPhone app requiring a current iOS major version, with a recent App Store listing identifier block; no earlier mention of the product exists in coverage.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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