High-resolution global urban growth projection based on multiple applications of the SLEUTH urban growth model

被引:120
作者
Zhou, Yuerong [1 ]
Varquez, Alvin C. G. [2 ]
Kanda, Manabu [2 ]
机构
[1] Univ Melbourne, Melbourne Sch Engn, Dept Infrastruct Engn, Melbourne, Vic, Australia
[2] Tokyo Inst Technol, Sch Environm & Soc, Dept Transdisciplinary Sci & Engn, Global Engn Dev Environm & Soc, Tokyo, Japan
关键词
CELLULAR-AUTOMATA; URBANIZATION;
D O I
10.1038/s41597-019-0048-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As urban population is forecast to exceed 60% of the world's population by 2050, urban growth can be expected. However, research on spatial projections of urban growth at a global scale are limited. We constructed a framework to project global urban growth based on the SLEUTH urban growth model and a database with a resolution of 30 arc-seconds containing urban growth probabilities from 2020 to 2050. Using the historical distribution of the global population from LandScan (TM) as a proxy for urban land cover, the SLEUTH model was calibrated for the period from 2000 to 2013. This model simulates urban growth using two layers of 50 arc-minutes grids encompassing global urban regions. While varying growth rates are observed in each urban area, the global urban cover is forecast to reach 1.7 x 10(6) km(2) by 2050, which is approximately 1.4 times that of the year 2012. A global urban growth database is essential for future environmental planning and assessments, as well as numerical investigations of future urban climates.
引用
收藏
页数:10
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