Mobility Signatures: A Tool for Characterizing Cities Using Intercity Mobility Flows.
COVID-19
OD matrix
collective human mobility
mobile phones
mobility signature
travel patterns
Journal
Frontiers in big data
ISSN: 2624-909X
Titre abrégé: Front Big Data
Pays: Switzerland
ID NLM: 101770603
Informations de publication
Date de publication:
2022
2022
Historique:
received:
26
11
2021
accepted:
31
01
2022
entrez:
14
3
2022
pubmed:
15
3
2022
medline:
15
3
2022
Statut:
epublish
Résumé
Understanding the patterns of human mobility between cities has various applications from transport engineering to spatial modeling of the spreading of contagious diseases. We adopt a city-centric, data-driven perspective to quantify such patterns and introduce
Identifiants
pubmed: 35284823
doi: 10.3389/fdata.2022.822889
pmc: PMC8908264
doi:
Types de publication
Journal Article
Langues
eng
Pagination
822889Informations de copyright
Copyright © 2022 Kiashemshaki, Huang and Saramäki.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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