TY  - JOUR
PY  - 2023//
TI  - Reducing disaster risk for the poor in tomorrow's cities with computational science
JO  - Nature computational science
A1  - McCloskey, John
A1  - Pelling, Mark
A1  - Galasso, Carmine
A1  - Cremen, Gemma
A1  - Menteşe, Emin Yahya
A1  - Hope, Max
A1  - Comelli, Thaisa
A1  - Deshpande, Tanvi
A1  - Guragain, Ramesh
A1  - Barcena, Alejandro
A1  - Gentile, Roberto
SP  - 722
EP  - 725
VL  - 3
IS  - 9
N2  - 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.     Globally, rapid urban expansion is transforming countless lives. The United Nations Human Settlements Programme has forecast that by 2050, 2.2 billion more people will live in urban centers worldwide and that 95 per cent of this growth will be in the Global South...<p />  <p>Language: en</p>
LA  - en
SN  - 2662-8457
UR  - http://dx.doi.org/10.1038/s43588-023-00521-3
ID  - ref1
ER  -