The scales of human mobility

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The scales of human mobility. / Alessandretti, Laura; Aslak, Ulf; Lehmann, Sune.

In: Nature, Vol. 587, No. 7834, 2020, p. 402-407.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Alessandretti, L, Aslak, U & Lehmann, S 2020, 'The scales of human mobility', Nature, vol. 587, no. 7834, pp. 402-407. https://doi.org/10.1038/s41586-020-2909-1

APA

Alessandretti, L., Aslak, U., & Lehmann, S. (2020). The scales of human mobility. Nature, 587(7834), 402-407. https://doi.org/10.1038/s41586-020-2909-1

Vancouver

Alessandretti L, Aslak U, Lehmann S. The scales of human mobility. Nature. 2020;587(7834):402-407. https://doi.org/10.1038/s41586-020-2909-1

Author

Alessandretti, Laura ; Aslak, Ulf ; Lehmann, Sune. / The scales of human mobility. In: Nature. 2020 ; Vol. 587, No. 7834. pp. 402-407.

Bibtex

@article{1ba020e362b84f848ed1c627ab6c15ea,
title = "The scales of human mobility",
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 {\textquoteleft}containers{\textquoteright} that restrict mobility behaviour. The scale-free results arise from aggregating displacements across containers. We present a simple model—which given a person{\textquoteright}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.",
author = "Laura Alessandretti and Ulf Aslak and Sune Lehmann",
note = "Publisher Copyright: {\textcopyright} 2020, The Author(s), under exclusive licence to Springer Nature Limited.",
year = "2020",
doi = "10.1038/s41586-020-2909-1",
language = "English",
volume = "587",
pages = "402--407",
journal = "Nature",
issn = "0028-0836",
publisher = "nature publishing group",
number = "7834",

}

RIS

TY - JOUR

T1 - The scales of human mobility

AU - Alessandretti, Laura

AU - Aslak, Ulf

AU - Lehmann, Sune

N1 - Publisher Copyright: © 2020, The Author(s), under exclusive licence to Springer Nature Limited.

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

U2 - 10.1038/s41586-020-2909-1

DO - 10.1038/s41586-020-2909-1

M3 - Journal article

C2 - 33208961

AN - SCOPUS:85096194305

VL - 587

SP - 402

EP - 407

JO - Nature

JF - Nature

SN - 0028-0836

IS - 7834

ER -

ID: 269673567