Machine learning for human mobility during disasters: A systematic literature review
Understanding and predicting human mobility during disasters is crucial for effective disaster management. Knowledge about population locations can greatly enhance rescue missions and evacuations. Realistic models that reflect observable mobility patterns and volumes are crucial for estimating popul...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Progress in Disaster Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259006172500002X |
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