McCloskey, John;
Pelling, Mark;
Galasso, Carmine;
Cremen, Gemma;
Menteşe, Emin Yahya;
Hope, Max;
Comelli, Thaisa;
... Gentile, Roberto; + view all
(2023)
Reducing disaster risk for the poor in tomorrow’s cities with computational science.
Nature Computational Science
, 3
(9)
pp. 722-725.
10.1038/s43588-023-00521-3.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Reducing disaster risk for the poor in tomorrow’s cities with computational science |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s43588-023-00521-3 |
| Publisher version: | https://doi.org/10.1038/s43588-023-00521-3 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10177743 |
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