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Mapping global urban land for the 21st century with data-driven simulations and Shared Socioeconomic Pathways.

Jing GaoBrian C O'Neill
Published in: Nature communications (2020)
Urban land expansion is one of the most visible, irreversible, and rapid types of land cover/land use change in contemporary human history, and is a key driver for many environmental and societal changes across scales. Yet spatial projections of how much and where it may occur are often limited to short-term futures and small geographic areas. Here we produce a first empirically-grounded set of global, spatial urban land projections over the 21st century. We use a data-science approach exploiting 15 diverse datasets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations. We find the global total amount of urban land could increase by a factor of 1.8-5.9, and the per capita amount by a factor of 1.1-4.9, across different socioeconomic scenarios over the century. Though the fastest urban land expansion occurs in Africa and Asia, the developed world experiences a similarly large amount of new development.
Keyphrases
  • climate change
  • water quality
  • public health
  • endothelial cells
  • high resolution
  • mental health
  • machine learning
  • molecular dynamics
  • electronic health record
  • mass spectrometry
  • deep learning