Murray St & West St

18dde30a-67b2-8f8b-aace-24e9f9fde33d · relocation

Accepted · confidence MediumModel: mr_8a9483

Distance moved

47 m

Capacity change

? → 61

Pre-window trips

71,825

Match confidence

91%

Pre 2021-05-31 20:00 EDT → 2022-05-30 20:00 EDT

Post 2022-12-31 20:00 EDT → 2023-12-30 20:00 EDT

Before (2021-06-01 – 2022-05-31)

After (2023-01-01 – 2023-12-31)

Neighbor redistribution

Net redistribution ≈ -605 trips

Neighbor	Distance	Observed post	Model pred.	Naive baseline	Residual (model)	Residual (naive)
West St & Chambers St pgk6pwcdtoi5	286 m	608.13	770.3	770.3	+162.2	+162.2
Park Pl & Church St wbto3iqlnqn2	358 m	0	99.1	99.1	+99.1	+99.1
Duane St & Greenwich St 3uv6addgxixd	353 m	0	88.5	88.5	+88.5	+88.5
Park Pl & Church St fc4n2h3zak67	358 m	132.57	44.7	44.7	-87.8	-87.8
Murray St & Greenwich St vbr556i65kod	151 m	214.36	301.5	301.5	+87.2	+87.2
Hudson St & Reade St 6dbau6kufluv	358 m	176.25	241.7	241.7	+65.4	+65.4
Murray St & West St 6t4wy7pnp7c4 · moved station	47 m	181.94	243.4	0.0	+61.5	-181.9
Vesey Pl & River Terrace f4atra3aqsla	304 m	383.03	438.4	438.4	+55.4	+55.4
Barclay St & Church St uittfbltwftj	330 m	93.32	133.8	133.8	+40.5	+40.5
Warren St & W Broadway vmemuz4vkwb2	330 m	161.84	181.9	181.9	+20.1	+20.1
Murray St\t& West St leguoe6hz5md	47 m	0	12.5	256.0	+12.5	+256.0

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 mr_8a9483)

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.