| 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 |
| 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. |
Similar Articles
| ID | Score | Article |
|---|---|---|
44389
|
Josipovic, N; Viergutz, K Smart Solutions for Municipal Flood Management: Overview of Literature, Trends, and Applications in German Cities(2023)Smart Cities, 6, 2 | |
| 43681
|
Petrova-Antonova, D; Ilieva, S Methodological Framework for Digital Transition and Performance Assessment of Smart Cities(2019) | |
| 63566
|
Hoffmann, J; Bauer, P; Sandu, I; Wedi, N; Geenen, T; Thiemert, D Destination Earth-A digital twin in support of climate services(2023) | |
| 37987
|
Wang, H; Chen, XW; Jia, F; Cheng, XJ Digital twin-supported smart city: Status, challenges and future research directions(2023) | |
| 62591
|
Caprari, G; Castelli, G; Montuori, M; Camardelli, M; Malvezzi, R Digital Twin for Urban Planning in the Green Deal Era: A State of the Art and Future Perspectives(2022)Sustainability, 14, 10 |