DeepSData
Dataset guide · 地理遥感与城市

Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard ris

This dataset includes synthetically produced data from 10 cities (Istanbul, Nablus, etc.) for a future urban context, covering physical elements (buildings, roads, power networks) and social elements (households, individuals) for natural hazard risk modelling. Created with support from NERC.

← Back to dataset library · 中文版

地理遥感与城市Free to access

Key facts

InstitutionNERC (Natural Environment Research Council)
Coverage10 cities: Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti, Darussalam
Time spanFuture 50 years (future urban scenario)
Scale2 files (ZIP format)
LicenseLicense pending verification
AccessDirect download ZIP (https://data-package.ceh.ac.uk/sd/cdfea06f-d47c-4967-99d4-cc71bddea45d.zip)

Contents & fields

The dataset contains 9 data types, each as a file or layer, named as "CitynameFutureExposureDataset/Cityname_CommunityCode_DataType". Fields include:

  • landuse——Land use plan data with attributes: land use type, area (ha), max population density, existing population
  • building——Building footprint data with attributes: identifier, construction type, number of floors, footprint area, occupation type, construction code level
  • road nodes——Points where road segments connect, with node identifier
  • road edges——Road segments with start and end node IDs
  • power nodes——Points where power lines connect, with node identifier
  • power edges——Power segments with start and end node IDs
  • household——Social attributes: number of individuals, income level, commonly used facility ID
  • individual——Individual attributes: age, gender, school ID, workplace ID, education level
  • Distribution table——Future projections for each city over 50 years

Research uses

This dataset is suitable for natural hazard risk modelling, urban exposure assessment, future urban scenario analysis, and studies on socio-demographic and infrastructure interactions.

This card was drafted from the source page; institution, coverage, time span, scale, fields and license are subject to the official page (pending human review).

Keywords

synthetic datafuture urbanexposure datasetnatural hazard risk modellingsocio-demographicland use

Access & license

License: License pending verification | Free to access

Why this is hard to get on your own

When obtaining synthetic future urban exposure data, users often face unclear field definitions and ambiguous license conditions.

Related datasets

Same domain

Need this data retrieved and prepared?

Tell us your hard requirements. We first assess availability, then retrieve for real — and if it truly cannot be obtained, we say so plainly.