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DOI10.1029/2019EF001152
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways
Li, Xuecao1; Zhou, Yuyu1; Eom, Jiyong2; Yu, Sha3; Asrar, Ghassem R.3
发表日期2019
EISSN2328-4277
卷号7期号:4页码:351-362
英文摘要

Improved understanding of the potential growth of urban areas at the national and global levels is needed for sustainable urban development. Current panel data analysis and local scale modeling are limited in projecting global urban area growth with large spatial heterogeneities. In this study, we developed country-specific urban area growth models using the time series data set of global urban extents (1992-2013) and projected the future growth of urban areas under five Shared Socioeconomic Pathways (SSPs). Our results indicate the global urban area would increase roughly 40-67% under five SSPs until 2050 relative to the base year of 2013, and this trend would continue to a growth ratio of more than 200% by 2100. The growth of urban areas under relatively unsustainable development pathways (e.g., regional rivalry SSP3 and inequality SSP4) is smaller compared to other SSPs. Although developing countries would remain as leading contributors to the increase of global urban areas in the future, they may exhibit different temporal patterns, that is, plateaued or monotonically increasing trends. This variation is primarily attributed to the compounding effect of the growth in population and gross domestic product. Our urban area data set presents a first country-level urban area projection under the five SSPs, spanning from 2013 to 2100. This data set has a great potential to support various global change studies, for example, urban sprawl simulation, integrated assessment modeling for sustainable development goals, and investigation of the impact of urbanization on atmospheric emissions, air quality, and human health.


WOS研究方向Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
来源期刊EARTHS FUTURE
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/96222
作者单位1.Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA;
2.Korea Adv Inst Sci & Technol, Business Sch, Grad Sch Green Growth, Seoul, South Korea;
3.Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD USA
推荐引用方式
GB/T 7714
Li, Xuecao,Zhou, Yuyu,Eom, Jiyong,et al. Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways[J],2019,7(4):351-362.
APA Li, Xuecao,Zhou, Yuyu,Eom, Jiyong,Yu, Sha,&Asrar, Ghassem R..(2019).Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways.EARTHS FUTURE,7(4),351-362.
MLA Li, Xuecao,et al."Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways".EARTHS FUTURE 7.4(2019):351-362.
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