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Updating global urbanization projections under the Shared Socioeconomic Pathways
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 Path...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971473/ https://www.ncbi.nlm.nih.gov/pubmed/35361772 http://dx.doi.org/10.1038/s41597-022-01209-5 |
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author | Chen, Shiyin Huang, Qingxu Muttarak, Raya Fang, Jiayi Liu, Tao He, Chunyang Liu, Ziwen Zhu, Lei |
author_facet | Chen, Shiyin Huang, Qingxu Muttarak, Raya Fang, Jiayi Liu, Tao He, Chunyang Liu, Ziwen Zhu, Lei |
author_sort | Chen, Shiyin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8971473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89714732022-04-20 Updating global urbanization projections under the Shared Socioeconomic Pathways Chen, Shiyin Huang, Qingxu Muttarak, Raya Fang, Jiayi Liu, Tao He, Chunyang Liu, Ziwen Zhu, Lei Sci Data Data Descriptor 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. Nature Publishing Group UK 2022-03-31 /pmc/articles/PMC8971473/ /pubmed/35361772 http://dx.doi.org/10.1038/s41597-022-01209-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Chen, Shiyin Huang, Qingxu Muttarak, Raya Fang, Jiayi Liu, Tao He, Chunyang Liu, Ziwen Zhu, Lei Updating global urbanization projections under the Shared Socioeconomic Pathways |
title | Updating global urbanization projections under the Shared Socioeconomic Pathways |
title_full | Updating global urbanization projections under the Shared Socioeconomic Pathways |
title_fullStr | Updating global urbanization projections under the Shared Socioeconomic Pathways |
title_full_unstemmed | Updating global urbanization projections under the Shared Socioeconomic Pathways |
title_short | Updating global urbanization projections under the Shared Socioeconomic Pathways |
title_sort | updating global urbanization projections under the shared socioeconomic pathways |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971473/ https://www.ncbi.nlm.nih.gov/pubmed/35361772 http://dx.doi.org/10.1038/s41597-022-01209-5 |
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