Evidence map›Paper›PMID 29158475›Full record

ArticleNature communications2017

Universal model of individual and population mobility on diverse spatial scales.

Xiao-Yong Yan, Wen-Xu Wang, Zi-You Gao, Ying-Cheng Lai

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

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  9. Spatiotemporal Interactive Modeling of Event-based Dynamic Networks.Technometrics : a journal of statistics for the physical, chemical, and engineering sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiao-Yong YanInstitute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing, 100044, China.
Wen-Xu WangSchool of Systems Science and Center for Complexity Research, Beijing Normal University, Beijing, 100875, China. wenxuwang@bnu.edu.cn.ORCID http://orcid.org/0000-0002-4170-8676
Zi-You GaoInstitute of Transportation System Science and Engineering, Beijing Jiaotong University, Beijing, 100044, China. zygao@bjtu.edu.cn.
Ying-Cheng LaiSchool of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, 85287, USA. Ying-Cheng.Lai@asu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of human mobility in the past decade revealed a number of general scaling laws. However, to reproduce the scaling behaviors quantitatively at both the individual and population levels simultaneously remains to be an outstanding problem. Moreover, recent evidence suggests that spatial scales have a significant effect on human mobility, raising the need for formulating a universal model suited for human mobility at different levels and spatial scales. Here we develop a general model by combining memory effect and population-induced competition to enable accurate prediction of human mobility based on population distribution only. A variety of individual and collective mobility patterns such as scaling behaviors and trajectory motifs are accurately predicted for different countries and cities of diverse spatial scales. Our model establishes a universal underlying mechanism capable of explaining a variety of human mobility behaviors, and has significant applications for understanding many dynamical processes associated with human mobility.

Indexed as

Human MigrationPopulation DynamicsChinaCitiesHumansModels, BiologicalModels, StatisticalTravelUnited States

Identifiers

PMID29158475
PMCPMC5696346

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.