Multiscale mobility patterns and the restriction of human movement

Abstract

From the perspective of human mobility, the COVID-19 pandemic constituted a natural experiment of enormous reach in space and time. Here, we analyse the inherent multiple scales of human mobility using Facebook Movement Maps collected before and during the first UK lockdown. First, we obtain the pre-lockdown UK mobility graph, and employ multiscale community detection to extract, in an unsupervised manner, a set of robust partitions into flow communities at different levels of coarseness. The partitions so obtained capture intrinsic mobility scales with better coverage than NUTS regions, which suffer from mismatches between human mobility and administrative divisions. Furthermore, the flow communities in the fine scale partition match well the UK Travel to Work Areas (TTWAs) but also capture mobility patterns beyond commuting to work. We also examine the evolution of mobility under lockdown, and show that mobility first reverted towards fine scale flow communities already found in the pre-lockdown data, and then expanded back towards coarser flow communities as restrictions were lifted. The improved coverage induced by lockdown is well captured by a linear decay shock model, which allows us to quantify regional differences both in the strength of the effect and the recovery time from the lockdown shock.

References in corpus (12)

• Fast unfolding of communities in large networks
• Understanding individual human mobility patterns
• The scaling laws of human travel
• Evidence of economic segregation from mobility lockdown during COVID-19 epidemic
• Random Walks, Markov Processes and the Multiscale Modular Organization of Complex Networks
• The Scales of Human Mobility
• Spectral centrality measures in complex networks
• Hierarchical Clustering Based on Mutual Information
• The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy
• Flow stability for dynamic community detection
• Multiscale mobility patterns and the restriction of human movement
• PyGenStability: Multiscale community detection with generalized Markov Stability

Cited by in corpus (2)

• Multiscale mobility patterns and the restriction of human movement
• PyGenStability: Multiscale community detection with generalized Markov Stability