Denmark transport data

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT

Topographic maps of Denmark describe the terrain with landscape forms, land use, buildings and roads, and provide an overview of the landscape and the various geographical elements of an area. The map 1:1.000.000 shows the main cities, roads, railways, airports and ferry routes.

This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name Denmark **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 0.2232 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.1015 million km (45.4732%) - Unpaved roads: 0.0388 million km (17.3833%) About 0.0829 million km (37.1435%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0003 million km (0.3113%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org

GeoDanmark data, hvor du kan filtrere på relevante objekttyper, som beskriver transportveje til lands for tog. Data kan anvendes alene eller i kombination med andre data fra Danmark og Europa til planlægning og analyser.

The Road Reference Database (VRD) is an IT solution that generates and maintains data in the form of a link between a generalized, national, topological road centre theme and relevant objects in GeoDanmark's basic data, which is published by KDS via GeoDanmark's exhibition environment. GeoDanmark objects are maintained in an independent production environment. GeoDanmark is a collaboration between the state and municipalities on the establishment and maintenance of a uniform digital mapping of Denmark that is common to the state and municipalities.

Administration Greenland provides a common digital management basis for use in governmental work and for communicating governmental decisions to citizens and businesses. The web service Management Greenland consists of vector data from various sources.

Open Land Greenland is a topographic map consisting of vector data and curves, with colours and signatures that illustrate the actual physical conditions as far as possible. Open Land Greenland can be used for safe planning of traffic in the open land.

GeoDanmark data, hvor du kan filtrere på relevante objekttyper, som beskriver transportveje og landingsbaner for fly (TransportNetwork). Data kan anvendes alene eller i kombination med andre data fra Danmark og Europa til planlægning og analyser.

GeoDanmark data, hvor du kan filtrere på relevante objekttyper, som beskriver transportveje til lands for biler. Data kan anvendes alene eller i kombination med andre data fra Danmark og Europa til planlægning og analyser.