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| pretty_name: "Transit Stop Positions (OSM) - 30,000-record Geospatial Sample" | |
| license: odbl | |
| size_categories: ["10K<n<100K"] | |
| task_categories: ["tabular-classification", "other"] | |
| language: ["en"] | |
| tags: ["geospatial", "open-data", "tabular", "parquet", "geojson", "csv", "public-transport", "transit", "stops", "openstreetmap", "mobility", "accessibility"] | |
| # Transit Stop Positions (OSM) - 30,000-record Geospatial Sample | |
| A free, ready-to-use sample of **30,000 geolocated public transport stop positions** (current openstreetmap snapshot), published by **[Outerview](https://www.outerview.ai)**. | |
| Public-transport stop positions (where vehicles actually halt) mapped by OpenStreetMap contributors, with coordinates and the original OSM tags preserved. | |
| > **This is a 30,000-record sample** of a much larger collection (about 1,549,000 source records). Need the full dataset, other places or years, or live search? See the [Outerview atlas](https://www.outerview.ai/atlas). | |
| ## At a glance | |
| | | | | |
| | --- | --- | | |
| | Records | 30,000 | | |
| | Period | Current OpenStreetMap snapshot | | |
| | Geometry | Point, WGS 84 (EPSG:4326) | | |
| | Formats | Parquet, GeoJSON, CSV | | |
| | Publisher | [Outerview](https://www.outerview.ai) | | |
| ## Quick start | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("parquet", data_files="hf://datasets/Outerview/stop-position/data.parquet", split="train") | |
| print(ds) | |
| print(ds[0]) | |
| ``` | |
| ```python | |
| import pandas as pd | |
| import json | |
| df = pd.read_parquet("hf://datasets/Outerview/stop-position/data.parquet") | |
| df["properties"] = df["properties"].apply(json.loads) | |
| df[["latitude", "longitude"]].describe() | |
| ``` | |
| ## Search millions more geographic features | |
| Outerview provides developers and AI systems access to **millions of geographic features and geolocated imagery** spanning infrastructure, places, roads, buildings, nature and community issues. | |
| <!-- outerview-tools:start --> | |
| ## Build with Outerview | |
| - [Geographic Feature List](https://www.outerview.ai/atlas) — browse geographic features available through Outerview | |
| - [Outerview](https://www.outerview.ai/) — programmable infrastructure for Earth | |
| - [Developer Documentation](https://www.outerview.ai/docs) — APIs, tools, guides, and examples | |
| - [SDK](https://www.outerview.ai/docs/sdk) — build geographic capabilities directly into applications | |
| - [CLI](https://www.outerview.ai/docs/cli) — work with geographic search and spatial data from the terminal | |
| - [MCP](https://www.outerview.ai/docs/mcp) — connect geographic search and spatial tools to AI agents | |
| <!-- outerview-tools:end --> | |
| ## Use cases | |
| - Transit accessibility and coverage analysis | |
| - Building multimodal routing and journey-planning features | |
| - Walkability and 15-minute-city studies | |
| - Joining with schedules (GTFS) and demographics | |
| ## Schema | |
| | Column | Type | Description | | |
| | --- | --- | --- | | |
| | `id` | string | Stable identifier for the record in the source table. | | |
| | `sample` | boolean | Reserved flag for optional image samples; false for source-table exports. | | |
| | `latitude` | float64 | Latitude in decimal degrees (WGS 84). | | |
| | `longitude` | float64 | Longitude in decimal degrees (WGS 84). | | |
| | `geometry_wkb` | binary | Record geometry encoded as Well-Known Binary for spatial workflows. | | |
| | `media_url` | string | URL of associated imagery when available; usually empty for this dataset. | | |
| | `attribution` | string | Attribution text for the contributing source. | | |
| | `source` | string | Source or provider label. | | |
| | `properties` | string | JSON-encoded object with the source-specific fields (see Properties). | | |
| ## Properties | |
| The `properties` column is a JSON string holding the original source attributes. The most common keys in this sample: | |
| | Key | Example value | | |
| | --- | --- | | |
| | `osm_id` | `215620219` | | |
| | `tag_name` | `amenity` | | |
| | `label_name` | `bank` | | |
| | `public_transport` | `stop_position` | | |
| | `name` | `Monticello Ave & Kidsburg Park` | | |
| | `bus` | `yes` | | |
| | `operator` | `Williamsburg Area Transit Authority` | | |
| | `network` | `Sonoma County Transit` | | |
| | `bicycle` | `yes` | | |
| | `highway` | `bus_stop` | | |
| | `wheelchair` | `yes` | | |
| | `railway` | `tram_stop` | | |
| Keys vary by record and source; not every field is populated for every row. | |
| ## Files | |
| - [Parquet](https://huggingface.co/datasets/Outerview/stop-position/resolve/main/data.parquet) | |
| - [GeoJSON](https://huggingface.co/datasets/Outerview/stop-position/resolve/main/data.geojson) | |
| - [CSV](https://huggingface.co/datasets/Outerview/stop-position/resolve/main/data.csv) | |
| ## Methodology | |
| Records are exported directly from the Outerview geographic index, ordered by identifier and capped at 30,000 rows. Coordinates are WGS 84. Source fields are preserved in `properties` without reinterpretation. Inclusion means a record appeared in the contributing public dataset; it was not independently verified. | |
| ## Sources and attribution | |
| - [OpenStreetMap contributors](https://www.openstreetmap.org/copyright) (ODbL 1.0) | |
| - Prepared and distributed by [Outerview](https://www.outerview.ai) | |
| ## License | |
| Contains information from OpenStreetMap, made available under the [Open Database License (ODbL) 1.0](https://opendatacommons.org/licenses/odbl/1-0/). Attribute **OpenStreetMap contributors** and keep derived databases under ODbL. | |