环境规划
可持续发展
业务
风险分析(工程)
经济增长
政治学
地理
经济
法学
作者
John McCloskey,Mark Pelling,Carmine Galasso,Gemma Cremen,Emin Yahya Menteşe,Max A. Hope,Thaisa Comelli,Tanvi Deshpande,Ramesh Guragain,Alejandro Barcena,Roberto Gentile
标识
DOI:10.1038/s43588-023-00521-3
摘要
Rapid urban expansion presents a major challenge to delivering the United Nations Sustainable Development Goals. Urban populations are forecast to increase by 2.2 billion by 2050, and business as usual will condemn many of these new citizens to lives dominated by disaster risk. This need not be the case. Computational science can help urban planners and decision-makers to turn this threat into a time-limited opportunity to reduce disaster risk for hundreds of millions of people.
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