4.7 Article Data Paper

Updating global urbanization projections under the Shared Socioeconomic Pathways

Journal

SCIENTIFIC DATA
Volume 9, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01209-5

Keywords

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Funding

  1. National Key R&D Program of China [2019YFA0607203]
  2. National Natural Science Foundation of China [41971225, 41971270]
  3. Beijing Normal University Tang Scholar

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This paper updates the projections of global urbanization using a logistic fitting model and iteratively identifying reference countries. The projections provide urbanization levels and uncertainties for 204 countries and areas every five years, as well as year-by-year projections for 188 countries and areas based on historical data. The updated dataset is relevant for understanding future socioeconomic development and policy planning, as well as its implications for climate change.
Urbanization level is an important indicator of socioeconomic development, and projecting its dynamics is fundamental for studies related to global socioeconomic and climate change. This paper aims to update the projections of global urbanization from 2015 to 2100 under the Shared Socioeconomic Pathways by using the logistic fitting model and iteratively identifying reference countries. Based on historical urbanization level database from the World Urbanization Prospects, projected urbanization levels and uncertainties are provided for 204 countries and areas every five years. The 2010-2100 year-by-year projected urbanization levels and uncertainties based on the annual historical data from the World Bank (WB) for 188 of countries and areas are also provided. The projections based on the two datasets were compared and the latter were validated using the historical values of the WB for the years 2010-2018. The updated dataset of urbanization level is relevant for understanding future socioeconomic development, its implications for climate change and policy planning.

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