globalchange  > 气候变化事实与影响
DOI: 10.1029/2019EF001152
WOS记录号: WOS:000467396900002
论文题名:
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Shared Socioeconomic Pathways
作者: Li, Xuecao1; Zhou, Yuyu1; Eom, Jiyong2; Yu, Sha3; Asrar, Ghassem R.3
通讯作者: Zhou, Yuyu
刊名: EARTHS FUTURE
EISSN: 2328-4277
出版年: 2019
卷: 7, 期:4, 页码:351-362
语种: 英语
英文关键词: urban area ; urbanization ; population ; GDP ; SDG ; SSP
WOS关键词: CONSTRAINED CELLULAR-AUTOMATA ; EARTH SYSTEM MODEL ; LAND-COVER CHANGE ; SPATIALLY EXPLICIT ; DYNAMICS ; SCENARIOS ; IMPACTS ; URBANIZATION ; BIODIVERSITY ; POPULATION
WOS学科分类: Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向: Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
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.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/133946
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


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

Recommended Citation:
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]. EARTHS FUTURE,2019-01-01,7(4):351-362
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Li, Xuecao]'s Articles
[Zhou, Yuyu]'s Articles
[Eom, Jiyong]'s Articles
百度学术
Similar articles in Baidu Scholar
[Li, Xuecao]'s Articles
[Zhou, Yuyu]'s Articles
[Eom, Jiyong]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Li, Xuecao]‘s Articles
[Zhou, Yuyu]‘s Articles
[Eom, Jiyong]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.