Evidence map›Paper›PMID 32875099›Full record

ArticleScience advances2020

Urban growth and the emergent statistics of cities.

Luis M A Bettencourt

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Large cities lose their growth advantage as countries urbanize.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
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  5. A stochastic theory of urban metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Changes in agglomeration and productivity are poor predictors of inequality across the archaeological record.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  18. Article
  19. Cities can benefit from complex supply chains.npj urban sustainability · 2023
    Article
  20. Article
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

1 author.

Luis M A BettencourtMansueto Institute for Urban Innovation, Department of Ecology and Evolution and Department of Sociology, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-6176-5160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban theory models cities as spatial equilibria to derive their aggregate properties as functions of extensive variables, such as population size. However, this assumption seems at odds with cities' most interesting properties as engines of fast and variable processes of growth and change. Here, we build a general statistical dynamics of cities across scales, from single agents to entire urban systems. We include agents' strategic behavior to produce predictable growth rates, which requires balancing relative incomes and costs over time. We implement these dynamics using stochastic differential equations and control theory to demonstrate a number of general emergent properties of cities deriving from limit theorems applied to growth rates. This framework establishes necessary conditions for scaling to be conserved by urban dynamics and shows how exponent corrections can be calculated. These ideas are tested using stochastic simulations and a long timeseries for 382 US Metropolitan Areas over nearly five decades.

Identifiers

PMID32875099
PMCPMC7438098

What OpenQuestion holds

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Registered trials

None linked

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.