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Computer Science > Social and Information Networks

arXiv:2307.10344 (cs)
COVID-19 e-print

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[Submitted on 19 Jul 2023 (v1), last revised 11 Sep 2023 (this version, v2)]

Title:Post-pandemic mobility patterns in London

Authors:Roberto Murcio, Nilufer Sari Aslam, Joana Barros
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Abstract:Understanding human mobility is crucial for urban and transport studies in cities. People's daily activities provide valuable insight, such as where people live, work, shop, leisure or eat during midday or after-work hours. However, such activities are changed due to travel behaviours after COVID-19 in cities. This study examines the mobility patterns captured from mobile phone apps to explore the behavioural patterns established since the COVID-19 lockdowns triggered a series of changes in urban environments.
Comments: version 2 - Case of study added
Subjects: Social and Information Networks (cs.SI); Physics and Society (physics.soc-ph)
Cite as: arXiv:2307.10344 [cs.SI]
  (or arXiv:2307.10344v2 [cs.SI] for this version)
  https://doi.org/10.48550/arXiv.2307.10344

Submission history

From: Roberto Murcio [view email]
[v1] Wed, 19 Jul 2023 22:41:47 UTC (1,877 KB)
[v2] Mon, 11 Sep 2023 18:08:56 UTC (1,997 KB)
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