ArticlePloS one2017
Multi-scale spatio-temporal analysis of human mobility.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Distance-amplified power-law distributions better characterize human long-distance travel.Scientific reports · 2026Article
- Anonymised human location data in England for urban mobility research.Scientific data · 2025Article
- Effects of the interplay between topology and function of an integrated urban development on patterns of user movement.Scientific reports · 2024Article
- General spectral characteristics of human activity and its inherent scale-free fluctuations.Scientific reports · 2024Article
- Mobility patterns are associated with experienced income segregation in large US cities.Nature communications · 2021Article
- Uncovering the socioeconomic facets of human mobility.Scientific reports · 2021Article
- Universal scaling laws of collective human flow patterns in urban regions.Scientific reports · 2020Article
- The scales of human mobility.Nature · 2020Article
- Quality of hybrid location data drawn from GPS-enabled mobile phones: Does it matter?Transactions in GIS : TG · 2020Article
- A multi-agent model to study epidemic spreading and vaccination strategies in an urban-like environment.Applied network science · 2020Article
- Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth.PloS one · 2020Article
- Interaction data from the Copenhagen Networks Study.Scientific data · 2019Article
- A Spatio-Temporal Approach to Individual Mobility Modeling in On-Device Cognitive Computing Platforms.Sensors (Basel, Switzerland) · 2019Article
- How Short Is Long Enough? Modeling Temporal Aspects of Human Mobility Behavior Using Mobile Phone Data.Annals of the American Association of Geographers · 2019Article
- Rational Design and Methods of Analysis for the Study of Short- and Long-Term Dynamic Responses of Eukaryotic Systems.Methods in molecular biology (Clifton, N.J.) · 2019Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent availability of digital traces generated by phone calls and online logins has significantly increased the scientific understanding of human mobility. Until now, however, limited data resolution and coverage have hindered a coherent description of human displacements across different spatial and temporal scales. Here, we characterise mobility behaviour across several orders of magnitude by analysing ∼850 individuals' digital traces sampled every ∼16 seconds for 25 months with ∼10 meters spatial resolution. We show that the distributions of distances and waiting times between consecutive locations are best described by log-normal and gamma distributions, respectively, and that natural time-scales emerge from the regularity of human mobility. We point out that log-normal distributions also characterise the patterns of discovery of new places, implying that they are not a simple consequence of the routine of modern life.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.