| --- |
| license: other |
| license_name: mixed-open-data |
| license_link: https://github.com/MaxHalford/bike-sharing-history |
| pretty_name: DisPatch70 |
| tags: |
| - bike-sharing |
| - urban-computing |
| - spatio-temporal |
| - time-series |
| --- |
| |
| # DisPatch70 |
|
|
| Aligned bike-share **station status** and **trip records** for 90+ cities, built for research on |
| urban dispatch / rebalancing simulation. Status snapshots and trips share one directory layout, |
| one file naming scheme, and explicit join keys. |
|
|
| ## Layout |
|
|
| ``` |
| gbfs/ <city>/<provider>/<YYYY>/<Mon>.parquet station status, one row per station x ~15-min snapshot |
| tripdata/ <city>/<provider>/<YYYY>/<Mon>.parquet trip records, one row per ride |
| station_dim/crosswalk.parquet station identity table |
| station_dim/snapshots/<city>/<provider>.parquet sampled raw GBFS station_information over time |
| ``` |
|
|
| `gbfs/.../2025/Mar.parquet` and `tripdata/.../2025/Mar.parquet` cover the same city, provider and |
| calendar month (**UTC**; trips are partitioned by `started_at` UTC to match the status feed's |
| `commit_at`). |
|
|
| ## Coverage |
|
|
| - `gbfs/`: 93 city/provider pairs in 24 countries, 2023-08 (older cities) or 2024-04 (cities added |
| later) through 2026-07, ~15-minute resolution, 349M rows. Source: the public Parquet export of |
| [MaxHalford/bike-sharing-history](https://github.com/MaxHalford/bike-sharing-history) |
| (git-scraped GBFS feeds), re-encoded with alignment keys added. |
| - `tripdata/`: the 12 cities whose operators publish trip records overlapping the status window: |
| New York, Washington DC, Chicago, San Francisco Bay Area, Philadelphia, Montréal, Vancouver, |
| Oslo, Bergen, Mexico City, Guadalajara, Buenos Aires (2023-01 → 2026-07/08 where published). |
| Toronto publishes data but blocks non-North-American downloads; it will be added when fetched. |
| All other systems (JCDecaux, Nextbike, Bird, Beryl, Tembici, Donkey Republic, and most |
| municipal systems outside North America) do not publish trip-level records at all. |
|
|
| ## Alignment keys |
|
|
| | key | gbfs/ | tripdata/ | note | |
| |---|---|---|---| |
| | station name | `station` | `start_gbfs_name` / `end_gbfs_name` | exact string match | |
| | GBFS station id | `station_id` | `start_station_id` / `end_station_id` | from `station_dim/crosswalk.parquet`; null for JCDecaux feeds (they publish no ids) | |
| | time | `commit_at` (UTC) | `started_at` / `ended_at` (UTC) | local wall time in `started_local`/`ended_local` + `tz` | |
|
|
| `start_match`/`end_match` records how each trip endpoint was resolved: `id` (operator id ↔ |
| crosswalk), `name`, `coord` (nearest station ≤ 60 m), or `none`. Trips with `none` and a null |
| `start_station_raw` are dockless e-bike rides that genuinely have no station (~29% of DC and ~22% |
| of Chicago rides); among station-referencing rides, resolution is ≥ 99.7% in every city. |
|
|
| ## gbfs/ schema |
|
|
| `city, provider, station (name), longitude, latitude, commit_at (UTC), skipped_updates |
| (consecutive unchanged frames before this row), bikes (available bikes), stands (available docks), |
| station_id, capacity_ref (capacity from the crosswalk, last sampled value)` |
|
|
| ## tripdata/ schema |
|
|
| Unified columns: `city, provider, ride_id, started_at, ended_at (UTC), started_local, ended_local, |
| tz, duration_s, start_station_raw / end_station_raw (operator's id, verbatim), |
| start_station_name / end_station_name (as published), start_lat/lon, end_lat/lon, |
| start_station_id / end_station_id, start_gbfs_name / end_gbfs_name, start_match / end_match, |
| rideable_type, member_type, source_file`, plus every unmapped source column verbatim as |
| `src_<original name>` (string). Nothing from the original files is dropped. |
|
|
| Per-city id resolution: Lyft cities (NYC/DC/Chicago/SF) match `start_station_raw` to GBFS |
| `short_name`; Oslo/Bergen/Philadelphia/Buenos Aires by digits of `station_id` |
| (`YOS:Station:1009` ↔ `1009`, `bcycle_indego_3213` ↔ `3213`, `277BAEcobici` ↔ `277`); |
| Guadalajara by `station_id`; Mexico City by digits of `short_name`; Montréal by name; |
| Vancouver by the leading `0001`-style code. |
|
|
| ## events/ and event_briefings/ |
| |
| ``` |
| events/ <city>/<source>/<YYYY>.parquet one row per public event (1,020,642 rows) |
| event_briefings/ <city>/<source>/<YYYY>.parquet one LLM-written briefing per event row |
| ``` |
| |
| `events/` unifies public-event records overlapping the status window (2023-01 → 2026-08): |
| city permit/calendar datasets (NYC permitted events incl. street closures, Chicago park |
| permits, SF street closures, Montréal public events, Buenos Aires mass-event permits), |
| ESPN scoreboards for ten leagues matched to venues in the twelve cities, and national |
| public holidays. Columns: `city, source, source_id, category (sports / concert / festival / |
| parade / street_closure / civic / holiday / other), title, description, venue_name, lat, |
| lon, start_utc, end_utc, start_local, end_local, tz, expected_attendance, status` plus every |
| source column verbatim as `src_<name>`. Time precision differs by source (games to the |
| minute, permits as start/end spans, holidays all-day). Coverage is uneven by design: five |
| cities have municipal permit data, all twelve have sports and holidays. |
| |
| `event_briefings/` turns each event row into a 1–3 sentence operational briefing for a |
| dispatcher (where, when, how large, what it means for bike traffic), generated offline with |
| Qwen3-14B from the prompt in the code repository (`prompts/event_briefing.md`). Columns: |
| `city, source, source_id, start_local, description, model, prompt_version`; join back to |
| `events/` on `(city, source, source_id, start_local)`. Descriptions use only the fields of |
| the record; records the model failed to describe are absent rather than filled. |
| |
| ## station_dim/ |
| |
| `crosswalk.parquet`: one row per (city, provider, station): `station_id, first_seen, last_seen, |
| n_snapshots, name_last, names_seen (JSON list of every name observed), short_name, legacy_id, |
| external_id, lat, lon, capacity, region_id, station_type`. Built by sampling the source repo's git |
| history on the 1st and 15th of each month (52 snapshots, 3,003 blobs). |
| |
| ## Caveats |
| |
| - The source git history is nearly empty 2024-02 → 2024-12 and 2025-07 (the archive author |
| squashed it); station identities in those windows come from neighbouring snapshots. |
| - JCDecaux feeds publish no station ids; join those 22 cities by name, or by the numeric prefix |
| many names carry ("1001 - TERREAUX"). |
| - Vancouver trip times are rounded to the hour by the operator (privacy). 2024-02 was published |
| as XLSX and converted to CSV before parsing. |
| - Trips whose local timestamp is ambiguous/nonexistent at DST transitions have `started_at = NaT` |
| and were dropped (≲ 0.1%; counts in the processing logs). |
| - Buenos Aires 2023 has a stray index column preserved as `src_` field; formats drift across |
| years in several cities — `source_file` tells you which raw file each row came from. |
| - `gbfs/` timestamps are commit times of the scraper (~every 15 min), not `last_reported`. |
| |
| ## Provenance & licenses |
| |
| Status: MaxHalford/bike-sharing-history (git scraping of public GBFS/JCDecaux feeds; cite the |
| repo). Trips: the operators' open-data programs (Lyft system-data terms for NYC/DC/Chicago/SF; |
| city open-data licenses for the rest). This dataset redistributes and re-encodes those public |
| files; original values are preserved verbatim in `*_raw`, `*_name` and `src_*` columns. |
| |
