Author
Listed:
- Markus Schläpfer
(Massachusetts Institute of Technology
Santa Fe Institute
Singapore-ETH Centre, ETH Zurich)
- Lei Dong
(Massachusetts Institute of Technology
Peking University)
- Kevin O’Keeffe
(Massachusetts Institute of Technology)
- Paolo Santi
(Massachusetts Institute of Technology
Istituto di Informatica e Telematica del CNR)
- Michael Szell
(Massachusetts Institute of Technology
IT University of Copenhagen
ISI Foundation)
- Hadrien Salat
(Singapore-ETH Centre, ETH Zurich
Sociology and Economics of Networks and Services, Orange Labs)
- Samuel Anklesaria
(Massachusetts Institute of Technology)
- Mohammad Vazifeh
(Massachusetts Institute of Technology)
- Carlo Ratti
(Massachusetts Institute of Technology)
- Geoffrey B. West
(Santa Fe Institute)
Abstract
Human mobility impacts many aspects of a city, from its spatial structure1–3 to its response to an epidemic4–7. It is also ultimately key to social interactions8, innovation9,10 and productivity11. However, our quantitative understanding of the aggregate movements of individuals remains incomplete. Existing models—such as the gravity law12,13 or the radiation model14—concentrate on the purely spatial dependence of mobility flows and do not capture the varying frequencies of recurrent visits to the same locations. Here we reveal a simple and robust scaling law that captures the temporal and spatial spectrum of population movement on the basis of large-scale mobility data from diverse cities around the globe. According to this law, the number of visitors to any location decreases as the inverse square of the product of their visiting frequency and travel distance. We further show that the spatio-temporal flows to different locations give rise to prominent spatial clusters with an area distribution that follows Zipf’s law15. Finally, we build an individual mobility model based on exploration and preferential return to provide a mechanistic explanation for the discovered scaling law and the emerging spatial structure. Our findings corroborate long-standing conjectures in human geography (such as central place theory16 and Weber’s theory of emergent optimality10) and allow for predictions of recurrent flows, providing a basis for applications in urban planning, traffic engineering and the mitigation of epidemic diseases.
Suggested Citation
Markus Schläpfer & Lei Dong & Kevin O’Keeffe & Paolo Santi & Michael Szell & Hadrien Salat & Samuel Anklesaria & Mohammad Vazifeh & Carlo Ratti & Geoffrey B. West, 2021.
"The universal visitation law of human mobility,"
Nature, Nature, vol. 593(7860), pages 522-527, May.
Handle:
RePEc:nat:nature:v:593:y:2021:i:7860:d:10.1038_s41586-021-03480-9
DOI: 10.1038/s41586-021-03480-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:593:y:2021:i:7860:d:10.1038_s41586-021-03480-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.