Literature DB >> 33208961

The scales of human mobility.

Laura Alessandretti1,2, Ulf Aslak1,2, Sune Lehmann3,4.   

Abstract

There is a contradiction at the heart of our current understanding of individual and collective mobility patterns. On the one hand, a highly influential body of literature on human mobility driven by analyses of massive empirical datasets finds that human movements show no evidence of characteristic spatial scales. There, human mobility is described as scale free1-3. On the other hand, geographically, the concept of scale-referring to meaningful levels of description from individual buildings to neighbourhoods, cities, regions and countries-is central for the description of various aspects of human behaviour, such as socioeconomic interactions, or political and cultural dynamics4,5. Here we resolve this apparent paradox by showing that day-to-day human mobility does indeed contain meaningful scales, corresponding to spatial 'containers' that restrict mobility behaviour. The scale-free results arise from aggregating displacements across containers. We present a simple model-which given a person's trajectory-infers their neighbourhood, city and so on, as well as the sizes of these geographical containers. We find that the containers-characterizing the trajectories of more than 700,000 individuals-do indeed have typical sizes. We show that our model is also able to generate highly realistic trajectories and provides a way to understand the differences in mobility behaviour across countries, gender groups and urban-rural areas.

Entities:  

Mesh:

Year:  2020        PMID: 33208961     DOI: 10.1038/s41586-020-2909-1

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


  18 in total

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  16 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.  Quantifying geographical accessibility to cancer clinical trials in different income landscapes.

Authors:  G Tini; D Trapani; B A Duso; P Beria; G Curigliano; P G Pelicci; L Mazzarella
Journal:  ESMO Open       Date:  2022-06-21

5.  Mobility in China, 2020: a tale of four phases.

Authors:  Suoyi Tan; Shengjie Lai; Fan Fang; Ziqiang Cao; Bin Sai; Bing Song; Bitao Dai; Shuhui Guo; Chuchu Liu; Mengsi Cai; Tong Wang; Mengning Wang; Jiaxu Li; Saran Chen; Shuo Qin; Jessica R Floyd; Zhidong Cao; Jing Tan; Xin Sun; Tao Zhou; Wei Zhang; Andrew J Tatem; Petter Holme; Xiaohong Chen; Xin Lu
Journal:  Natl Sci Rev       Date:  2021-08-16       Impact factor: 17.275

6.  Nation-wide human mobility prediction based on graph neural networks.

Authors:  Fernando Terroso-Sáenz; Andrés Muñoz
Journal:  Appl Intell (Dordr)       Date:  2021-07-19       Impact factor: 5.019

7.  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

8.  In-Home Mobility Frequency and Stability in Older Adults Living Alone With or Without MCI: Introduction of New Metrics.

Authors:  Chao-Yi Wu; Hiroko H Dodge; Christina Reynolds; Lisa L Barnes; Lisa C Silbert; Miranda M Lim; Nora Mattek; Sarah Gothard; Jeffrey A Kaye; Zachary Beattie
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Review 9.  From Molecular Recognition to the "Vehicles" of Evolutionary Complexity: An Informational Approach.

Authors:  Pedro C Marijuán; Jorge Navarro
Journal:  Int J Mol Sci       Date:  2021-11-04       Impact factor: 5.923

10.  Rapid indicators of deprivation using grocery shopping data.

Authors:  Adam Bannister; Federico Botta
Journal:  R Soc Open Sci       Date:  2021-12-22       Impact factor: 2.963

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