Content Type: Datasets (quantitative data on urban unit); Models (algorithm based tools for scenario findings).
Parameter: Social (demographic and economic indicators); Environment (GHG emissions, PM2.5 emissions, pollution, resource use); Infrastructure (seven key provisioning sectors: buildings, food, energy, transportation, water, waste, and public space); Urban Form (form, growth and morphology).
Outcome: Wellbeing (subjective measures of emotional and cognitive wellbeing); Health (objective measures of human health and morbidity); Environment (GHG, pollution, and resource use); Equity (spatial measures of deprivation); Livability (interacting features of place for habitability and desirability).
Spatial Scale: Intra-urban (fine spatial detail within a city); Whole City (aggregate data); National Urban (aligned cumulative data for all cities in a country).
Temporal Scale: Snapshot (moment in time); Time series (recurring data collection); Futures modeling (projected findings using historical or contemporary data inputs).
Global City Data hosts descriptions of open access urban systems data sets and models collected and vetted by a network of international researchers. To learn more about the data sets and models featured on this site, please use the contact link at the bottom of each detail page to be put in contact with the owners of individual data sets and models.
Interested in contributing to Global City Data? Learn more here.Datasets and Models
Chinese cities data set includes data from 637 Chinese cities in the year 2010 as the base-case. These cities are aggregated urban administrative districts in ...Dataset Detail
This dataset includes community-wide food demand (residents, businesses, industry) across individual food types, for the city of Delhi India. It also includes supply chains, and ...Dataset Detail