Literature DB >> 34040209

The universal visitation law of human mobility.

Markus Schläpfer1,2,3, Lei Dong4,5, Kevin O'Keeffe1, Paolo Santi1,6, Michael Szell1,7,8, Hadrien Salat3,9, Samuel Anklesaria1, Mohammad Vazifeh1, Carlo Ratti1, Geoffrey B West2.   

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.

Entities:  

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Year:  2021        PMID: 34040209     DOI: 10.1038/s41586-021-03480-9

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  1 in total

1.  A tale of many cities: universal patterns in human urban mobility.

Authors:  Anastasios Noulas; Salvatore Scellato; Renaud Lambiotte; Massimiliano Pontil; Cecilia Mascolo
Journal:  PLoS One       Date:  2012-05-29       Impact factor: 3.240

  1 in total
  12 in total

1.  A spatiotemporal decay model of human mobility when facing large-scale crises.

Authors:  Weiyu Li; Qi Wang; Yuanyuan Liu; Mario L Small; Jianxi Gao
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-08       Impact factor: 12.779

2.  Recent advances in urban system science: Models and data.

Authors:  Elsa Arcaute; José J Ramasco
Journal:  PLoS One       Date:  2022-08-17       Impact factor: 3.752

3.  Temporal and spatial evolution of the distribution related to the number of COVID-19 pandemic.

Authors:  Peng Liu; Yanyan Zheng
Journal:  Physica A       Date:  2022-06-26       Impact factor: 3.778

4.  Living in a pandemic: changes in mobility routines, social activity and adherence to COVID-19 protective measures.

Authors:  Lorenzo Lucchini; Simone Centellegher; Luca Pappalardo; Riccardo Gallotti; Filippo Privitera; Bruno Lepri; Marco De Nadai
Journal:  Sci Rep       Date:  2021-12-27       Impact factor: 4.379

5.  Modeling international mobility using roaming cell phone traces during COVID-19 pandemic.

Authors:  Massimiliano Luca; Bruno Lepri; Enrique Frias-Martinez; Andra Lutu
Journal:  EPJ Data Sci       Date:  2022-04-04       Impact factor: 3.184

6.  Clonotype pattern in T-cell lymphomas map the cell of origin to immature lymphoid precursors.

Authors:  Aishwarya Iyer; Dylan Hennessey; Robert Gniadecki
Journal:  Blood Adv       Date:  2022-04-12

7.  Monitoring supply networks from mobile phone data for estimating the systemic risk of an economy.

Authors:  Tobias Reisch; Georg Heiler; Christian Diem; Peter Klimek; Stefan Thurner
Journal:  Sci Rep       Date:  2022-08-03       Impact factor: 4.996

8.  A theory-based model of cumulative activity.

Authors:  Kole Phillips; Kevin Stanley; Daniel Fuller
Journal:  Sci Rep       Date:  2022-09-17       Impact factor: 4.996

9.  A spatial vaccination strategy to reduce the risk of vaccine-resistant variants.

Authors:  Xiyun Zhang; Gabriela Lobinska; Michal Feldman; Eddie Dekel; Martin A Nowak; Yitzhak Pilpel; Yonatan Pauzner; Baruch Barzel; Ady Pauzner
Journal:  PLoS Comput Biol       Date:  2022-08-10       Impact factor: 4.779

10.  A Novel Predictor for Micro-Scale COVID-19 Risk Modeling: An Empirical Study from a Spatiotemporal Perspective.

Authors:  Sui Zhang; Minghao Wang; Zhao Yang; Baolei Zhang
Journal:  Int J Environ Res Public Health       Date:  2021-12-16       Impact factor: 3.390

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