Gunkel, Jonas and Tundis, Andrea and Mühlhäuser, Max (2025) Machine learning for human mobility during disasters: A systematic literature review. Progress in Disaster Science. Elsevier. doi: 10.1016/j.pdisas.2025.100405. ISSN 2590-0617.
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| Item URL in elib: | https://elib.dlr.de/212904/ | ||||||||||||||||
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| Document Type: | Article | ||||||||||||||||
| Title: | Machine learning for human mobility during disasters: A systematic literature review | ||||||||||||||||
| Authors: |
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| Date: | 2025 | ||||||||||||||||
| Journal or Publication Title: | Progress in Disaster Science | ||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | Yes | ||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||
| DOI: | 10.1016/j.pdisas.2025.100405 | ||||||||||||||||
| Publisher: | Elsevier | ||||||||||||||||
| ISSN: | 2590-0617 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | Human mobility Disaster mobility Disaster response Machine learning Deep Learning | ||||||||||||||||
| HGF - Research field: | other | ||||||||||||||||
| HGF - Program: | other | ||||||||||||||||
| HGF - Program Themes: | other | ||||||||||||||||
| DLR - Research area: | Digitalisation | ||||||||||||||||
| DLR - Program: | D CPE - Cyberphysical Engineering | ||||||||||||||||
| DLR - Research theme (Project): | D - urbanModel | ||||||||||||||||
| Location: | Rhein-Sieg-Kreis | ||||||||||||||||
| Institutes and Institutions: | Institute for the Protection of Terrestrial Infrastructures Institute for the Protection of Terrestrial Infrastructures > Digital Twins of Infrastructures | ||||||||||||||||
| Deposited By: | Gunkel, Jonas | ||||||||||||||||
| Deposited On: | 12 Mar 2025 08:02 | ||||||||||||||||
| Last Modified: | 12 Mar 2025 08:02 |
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