ITU

The universal visitation law of human mobility

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

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The universal visitation law of human mobility. / Schläpfer, Markus; Dong, Lei; O'Keeffe, Kevin; Santi, Paolo; Szell, Michael; Salat, Hadrien; Anklesaria, Samuel; Vazifeh, Mohammad; Ratti, Carlo; West, Geoffrey.

In: Nature, Vol. 593, 26.05.2021, p. 522-527.

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

Harvard

Schläpfer, M, Dong, L, O'Keeffe, K, Santi, P, Szell, M, Salat, H, Anklesaria, S, Vazifeh, M, Ratti, C & West, G 2021, 'The universal visitation law of human mobility', Nature, vol. 593, pp. 522-527. https://doi.org/10.1038/s41586-021-03480-9

APA

Schläpfer, M., Dong, L., O'Keeffe, K., Santi, P., Szell, M., Salat, H., Anklesaria, S., Vazifeh, M., Ratti, C., & West, G. (2021). The universal visitation law of human mobility. Nature, 593, 522-527. https://doi.org/10.1038/s41586-021-03480-9

Vancouver

Schläpfer M, Dong L, O'Keeffe K, Santi P, Szell M, Salat H et al. The universal visitation law of human mobility. Nature. 2021 May 26;593:522-527. https://doi.org/10.1038/s41586-021-03480-9

Author

Schläpfer, Markus ; Dong, Lei ; O'Keeffe, Kevin ; Santi, Paolo ; Szell, Michael ; Salat, Hadrien ; Anklesaria, Samuel ; Vazifeh, Mohammad ; Ratti, Carlo ; West, Geoffrey. / The universal visitation law of human mobility. In: Nature. 2021 ; Vol. 593. pp. 522-527.

Bibtex

@article{8eb815b2d91b4daeb1323bfb2dcd58e6,
title = "The universal visitation law of human mobility",
abstract = "Human mobility impacts many aspects of a city, from its spatial structure to its response to an epidemic. It is also ultimately key to social interactions, innovation and productivity. However, our quantitative understanding of the aggregate movements of individuals remains incomplete. Existing models—such as the gravity law or the radiation model—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{\textquoteright}s law. 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 theory and Weber{\textquoteright}s theory of emergent optimality) and allow for predictions of recurrent flows, providing a basis for applications in urban planning, traffic engineering and the mitigation of epidemic diseases.",
author = "Markus Schl{\"a}pfer and Lei Dong and Kevin O'Keeffe and Paolo Santi and Michael Szell and Hadrien Salat and Samuel Anklesaria and Mohammad Vazifeh and Carlo Ratti and Geoffrey West",
year = "2021",
month = may,
day = "26",
doi = "10.1038/s41586-021-03480-9",
language = "English",
volume = "593",
pages = "522--527",
journal = "Nature",
issn = "0028-0836",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - The universal visitation law of human mobility

AU - Schläpfer, Markus

AU - Dong, Lei

AU - O'Keeffe, Kevin

AU - Santi, Paolo

AU - Szell, Michael

AU - Salat, Hadrien

AU - Anklesaria, Samuel

AU - Vazifeh, Mohammad

AU - Ratti, Carlo

AU - West, Geoffrey

PY - 2021/5/26

Y1 - 2021/5/26

N2 - Human mobility impacts many aspects of a city, from its spatial structure to its response to an epidemic. It is also ultimately key to social interactions, innovation and productivity. However, our quantitative understanding of the aggregate movements of individuals remains incomplete. Existing models—such as the gravity law or the radiation model—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 law. 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 theory and Weber’s theory of emergent optimality) and allow for predictions of recurrent flows, providing a basis for applications in urban planning, traffic engineering and the mitigation of epidemic diseases.

AB - Human mobility impacts many aspects of a city, from its spatial structure to its response to an epidemic. It is also ultimately key to social interactions, innovation and productivity. However, our quantitative understanding of the aggregate movements of individuals remains incomplete. Existing models—such as the gravity law or the radiation model—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 law. 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 theory and Weber’s theory of emergent optimality) and allow for predictions of recurrent flows, providing a basis for applications in urban planning, traffic engineering and the mitigation of epidemic diseases.

U2 - 10.1038/s41586-021-03480-9

DO - 10.1038/s41586-021-03480-9

M3 - Journal article

VL - 593

SP - 522

EP - 527

JO - Nature

JF - Nature

SN - 0028-0836

ER -

ID: 85969820