Transportation
How transportation infrastructure is handled by Global Mining Dataset
Last updated 2026-08-23
Transportation infrastructure is a key consideration in the development and operation of mining assets. Mines require reliable access for equipment, materials and personnel, while many commodities depend on road, rail and port infrastructure to move products to customers and export markets.
Global Mining Dataset provides a consistent set of transportation indicators across the Asset Universe, allowing users to quickly understand the infrastructure context surrounding an asset and compare accessibility across projects.
The transportation layer currently covers three infrastructure types:
- Road
- Railways
- Ports
These metrics are designed for early-stage screening. They help identify assets where transportation infrastructure may represent an advantage or where logistics should be investigated in more detail.
Roads
Road infrastructure provides an indication of the basic accessibility of a mining asset and its connection to surrounding settlements and infrastructure networks.
Access to roads can be relevant throughout the mining lifecycle. During exploration and development, roads support the movement of personnel, drilling equipment and construction materials. During operations, they can support workforce access, supplies, and the movement of products to processing or export infrastructure.
Assets close to an established road network may benefit from stronger regional accessibility, while more remote assets may require additional access infrastructure or further investigation.
Global Mining Dataset calculates the distance between each asset and the nearest mapped road and highlights the estimated quality and capacity. Road proximity does not provide a judgement on the suitability of the road for a particular mining operation. Additionally private access roads, seasonal routes and recently constructed roads may not be represented consistently in the underlying data.
Road metrics
| Field | Description | Format | Example |
|---|---|---|---|
Nearest mapped road | Distance from the asset to the nearest mapped road feature. | Kilometres | 11.4 km |
Nearest regional road | Distance to the nearest mapped regional road where road class information is available. | Kilometres | 16.8 km |
Nearest major road | Distance to the nearest mapped major road or highway-class corridor. | Kilometres | 28.7 km |
Nearest usable road | Distance to the nearest mapped road that appears usable based on available road class and surface evidence. | Kilometres | 11.4 km |
Major roads within 25 km | Count of mapped major roads within the immediate surrounding area. | Whole number | 1 |
Major roads within 50 km | Count of mapped major roads in the broader local area. | Whole number | 3 |
Usable roads within 25 km | Count of mapped usable road candidates within the immediate surrounding area. | Whole number | 2 |
Usable roads within 50 km | Count of mapped usable road candidates in the broader local area. | Whole number | 4 |
Road access band | Plain-language category summarising mapped road accessibility. | Category label | Local mapped access |
Road access flags | Short warning or positive signals derived from road proximity and road metadata. | List of labels | Good road access |
Road records
| Field | Description | Format | Example |
|---|---|---|---|
Road name | Recorded name for the mapped road segment, where available. | Text | Great Northern Highway |
Route name | Route designation or corridor label, where available. | Text | N1 |
Road class | Broad road class or highway class used to describe the role of the road. | Category label | Primary road |
National class | Country-specific road classification, where available. | Text or category label | National highway |
Functional class | Hierarchy category used to distinguish highways, primary roads, secondary roads, local roads and trails. | Category label | Primary |
Road geometry | Mapped line segment used for road proximity and road overlay display. | Line geometry | Road segment on map |
Segment length | Length of the mapped road segment, where provided. | Kilometres | 12.4 km |
Carriageways | Indicates whether the road is represented as a single or dual carriageway. | Category label | Single carriageway |
Lane count | Number of lanes recorded for the road segment, where available. | Whole number | 2 lanes |
Lane width | Width of an individual lane, where available. | Metres | 3.5 m |
Road width | Total recorded road width, where available. | Metres | 7.0 m |
Load limits | Axle or total load values where capacity information is available. | Metric tonnes | Axle 10 MT |
Surface type | Material or surface category for the road segment. | Category label | Paved |
Surface condition | Running-surface condition where available. | Category label | Smooth running surface |
Practicability | Vehicle-access category, including current or weather-specific access where available. | Category label | Heavy truck access |
Seasonal access | Indicates whether the road is flagged as seasonal. | Yes / no | Yes |
Speed values | Speed limit, current speed or general speed values where available. | Kilometres per hour | 80 km/h |
Construction status | Indicates whether the segment is under construction and, where available, expected timing. | Status label or date text | Works in progress |
Road design indicators | Additional physical indicators such as shoulder, median, elevated segment or driving side. | List of labels | Shoulder, median |
Security category | Road security-risk category, where available. | Category label | Medium to high security risk |
Operational status | Recorded road operational status where available. | Status label | Open |
Railways
Rail infrastructure can be particularly important for commodities where large volumes of material need to be transported over significant distances to processing facilities or to ports for transport to export markets.
Bulk commodities such as iron ore and coal can be especially dependent on rail infrastructure, while access to existing rail corridors can also be relevant for concentrates and other mineral products.
Nearby rail infrastructure can indicate the presence of an established industrial or logistics corridor, but proximity alone does not confirm that the network is available or suitable for use by the asset. Rail proximity does not model route ownership, gauge, capacity, access rights, haulage cost, or whether a new spur connection is feasible.
Rail metrics
| Field | Description | Format | Example |
|---|---|---|---|
Nearest rail distance | Distance from the asset to the nearest mapped rail line. | Kilometres | 42.7 km |
Rail within 25 km | Indicates whether a mapped rail line is within 25 km of the asset. | Yes / no | No |
Rail within 50 km | Indicates whether a mapped rail line is within 50 km of the asset. | Yes / no | Yes |
Rail within 100 km | Indicates whether a mapped rail line is within 100 km of the asset. | Yes / no | Yes |
Rail line records
| Field | Description | Format | Example |
|---|---|---|---|
Rail line name | Recorded name for the mapped rail line, where available. | Text | Pilbara rail corridor |
Railway classification | Railway category used to distinguish rail features in the underlying linework. | Category label | Rail |
Rail line geometry | Mapped line geometry used for rail proximity and selected-asset rail context. | Line geometry | Rail segment on map |
Ports
Ports are an important part of the logistics chain for many export-oriented mining projects.
Proximity to maritime infrastructure can provide useful early-stage context when comparing projects, particularly where mineral products are expected to be transported to international markets.
Global Mining Dataset identifies the nearest mapped port and provides a corresponding proximity indicator for each asset.
This can help distinguish assets located close to established maritime infrastructure from those that may depend on longer or more complex inland transport corridors.
The nearest port should not necessarily be interpreted as the port that would ultimately serve a project. Port capabilities, commodity handling, capacity and transport connections may differ significantly between facilities.
Port metrics
| Field | Description | Format | Example |
|---|---|---|---|
Nearest port distance | Distance from the asset to the nearest mapped port. | Kilometres | 142.2 km |
Port records
| Field | Description | Format | Example |
|---|---|---|---|
Port name | Recorded name for the mapped port or harbour. | Text | Port Hedland |
Country | Country name or country code attached to the port record. | Text | Australia |
Harbour size | Recorded harbour size category, where available. | Category label | Large |
Port location | Point location used for map display and nearest-port distance calculations. | Latitude and longitude | -20.31, 118.58 |
Data Sources
Transportation indicators combine global infrastructure reference datasets with selected OpenStreetMap extracts where those extracts have been loaded.
| Source | What it contributes | Coverage | Used for |
|---|---|---|---|
| World Port Index | Global port and harbour point locations. | Global maritime infrastructure coverage | Nearest port distance and selected-asset port context |
| OpenStreetMap roads | Road linework and road-class attributes where country extracts are loaded. | Loaded country extracts | Nearest mapped road, road-class context and road overlay display where available |
| gROADS v1 | Global roads fallback coverage where local OpenStreetMap extracts are not available or are supplemented by broader road coverage. | Global road-network coverage | Road proximity, major-road context and road fallback coverage |
| OpenStreetMap rail | Cleaned railway linework from mapped rail features. | Loaded rail extracts | Nearest rail distance and 25 km, 50 km and 100 km rail screening flags |