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Machine learning for human mobility during disasters: A systematic literature review

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/
Document Type:Article
Title:Machine learning for human mobility during disasters: A systematic literature review
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gunkel, Jonasjonas.gunkel (at) dlr.dehttps://orcid.org/0009-0006-7043-9299UNSPECIFIED
Tundis, AndreaAndrea.Tundis (at) dlr.dehttps://orcid.org/0000-0002-7729-2780179866035
Mühlhäuser, MaxTU DarmstadtUNSPECIFIEDUNSPECIFIED
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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