Quantifying the economic impact of disasters on businesses using human mobility data: a Bayesian causal inference approach
In recent years, extreme shocks, such as natural disasters, are increasing in both frequency and intensity, causing significant economic loss to many cities around the world. Quantifying the economic cost of local businesses after extreme shocks is important for post-disaster assessment and pre-disa...
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| Veröffentlicht in: | EPJ data science Jg. 9; H. 1; S. 36 - 20 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2020
Springer Nature B.V SpringerOpen |
| Schlagworte: | |
| ISSN: | 2193-1127, 2193-1127 |
| Online-Zugang: | Volltext |
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