E 3 St & 1 Ave

97703ae2-f12d-8002-a855-1bcae5d725fd · temporary removal

Rejected · Other (see notes)Model: —

Distance moved

0 m

Capacity change

59 → 59

Pre-window trips

83,679

Match confidence

95%

Pre 2016-12-31 20:00 EDT → 2018-01-30 20:00 EDT

Post 2021-02-28 20:00 EDT → 2022-02-27 20:00 EDT

Rejection reason: Other (see notes)

zero-activity gap 1124d exceeds pre_post_gap_max_days=365; same-station identity across the gap is weak

Before (2017-01-01 – 2018-01-31)

After (2021-03-01 – 2022-02-28)

Neighbor redistribution

Net redistribution ≈ 0 trips

No neighbor predictions were recorded for this event under model —.

Sources

Pre & post trip data: Citi Bike tripdata S3 bucket
Station identity reconciliation: nyc.citibike_simulator_stations_master (canonical & legacy IDs)
Model prediction table: nyc.citibike_simulator_relocation_neighbor_predictions (model_run —)

Detected from ingest run: #94

Download event CSV How the model is evaluated

Methodology and known gaps

This tool is a Concourse research artifact. Not a permit or approval.

What this tool does

Estimates how relocating or resizing a Citi Bike station would affect ridership and rebalancing across a small neighborhood of stations, using public GBFS and S3 trip data.

What this tool does not do

This is not a NYC DOT approval, a Lyft operations tool, or a rebalancing dispatcher. It cannot see rebalancing truck routes, suppressed demand, or pricing history.

Four public-data gaps

Rebalancing truck logs are internal to Lyft.
The product infers rebalancing burden from inventory dynamics, not from observed truck routes. Rebalancing truck movements are not observed and would attenuate these effects in practice.
Suppressed demand (app searches without a trip) is internal to Lyft.
App searches that do not result in a completed trip are not in the public data. Suppressed demand is not observed here.
2019-05 to 2023-06 station-status archive gap.
No public station-status archive covers 2019-05 to 2023-06. Empty/full risk is trained on the OpenBus 2015-2019 window and live GBFS polling from ingest go-live forward. No continuity claim is made across the gap.
Pricing and promotions history is unobserved.
Pricing and promotions history is not observed. It is a confounder that may explain some observed demand shifts.