Key facts
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
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.
