| Title |
Thinking fast and slow in disaster decision-making with Smart City Digital Twins |
| ID_Doc |
38236 |
| Authors |
Mohammadi, N; Taylor, JE |
| Title |
Thinking fast and slow in disaster decision-making with Smart City Digital Twins |
| Year |
2021 |
| Published |
Nature Computational Science, 1, 12 |
| DOI |
10.1038/s43588-021-00174-0 |
| Abstract |
Many cities are vulnerable to disaster-related mortality and economic loss. Smart City Digital Twins can be used to facilitate disaster decision-making and influence policy, but first they must accurately capture, predict, and adapt to the city's dynamics, including the varying pace at which changes unfold. |
| Author Keywords |
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| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000888567500002 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; Multidisciplinary Sciences |
| Research Area |
Computer Science; Science & Technology - Other Topics |
| PDF |
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