Post-pandemic mobility patterns in London
Roberto Murcio, Nilufer Sari Aslam, Joana Barros

TL;DR
This paper analyzes how COVID-19 lockdowns have altered urban mobility patterns in London using mobile phone data, providing insights into post-pandemic human activity and travel behavior changes.
Contribution
It introduces a novel analysis of mobile phone data to understand post-pandemic mobility shifts in London, highlighting behavioral changes in urban activities.
Findings
Changes in daily activity locations post-pandemic
Altered travel frequency and timing patterns
Insights into new urban mobility behaviors
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Urban Transport and Accessibility
