Data · dataset · 2025
New_Normal_Casestudy
Listed in Teesside University Research Data Repository
This open-access GIS dataset supports spatial planning for emission-free, energy-independent, and space-efficient urban mobility systems in Dutch cities.
Description
The dataset comprises 34 harmonized geospatial layers describing environmental, land use, infrastructural, demographic, hazard, risk, and socioeconomic conditions at fine spatial resolution. Thematic categories include: 1.Zoning Constraints Map: landing sites, drone no-fly zones, restricted areas 2.Topographic: elevation, recreation corridors, terrain 3.Transportation: road and rail networks, transit stations, bus stops 4.Landuse: land cover, buildings, water bodies 5.Mobility Indicator: car ownership and mobility proxies 6.Environmental / Air Quality Indicator: NO₂, O₃, PM2.5, PM10, tree/vegetation cover 7.Hazard & Risk Map: flood, drought, groundwater vulnerability, flammable zones 8.Energy: power lines, wind/solar infrastructure, substations, heating networks 9.Amenities / POIs: fuel and charging stations, public facilities, parking 10.Demographic: high-resolution population, age, gender, household size 11.Urban Governance / Planning Region: urban/recreational areas, business centers 12.Socioeconomic Data: income, employment rates, business activity.
Format: Provided as geo-referenced rasters (.tif), ESRI shapefiles (.shp with associated files), and tabular (.csv, .xlsx) data with extensive metadata documentation. Sources: Data are derived from authoritative sources, including PDOK, CBS (Statistics Netherlands), BAG, Copernicus Land Monitoring, Eurostat, Risicokaart, h2inframap.eu, and relevant national/environmental platforms.
Links
Where it is published
- DOI doi.org/10.17632/hf6sxy3wy5.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Social Science
- Inferred from text
- Tabular 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/hf6sxy3wy5.1 | 9 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |