Evidence map›Paper›PMID 36702938›Full record

ArticleNature human behaviour2023

Urban scaling laws arise from within-city inequalities.

Martin Arvidsson, Niclas Lovsjö, Marc Keuschnigg

Full text read
In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Modeling the rise and demise of Classic Maya cities: Climate, conflict, and economies of scale.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. A stochastic theory of urban metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

3 authors.

Martin ArvidssonThe Institute for Analytical Sociology, Linköping University, Norrköping, Sweden. martin.arvidsson@liu.se.ORCID http://orcid.org/0000-0003-4648-2829
Niclas LovsjöThe Institute for Analytical Sociology, Linköping University, Norrköping, Sweden. niclas.lovsjo@me.com.ORCID http://orcid.org/0000-0002-7460-5665
Marc KeuschniggThe Institute for Analytical Sociology, Linköping University, Norrköping, Sweden. marc.keuschnigg@liu.se.ORCID http://orcid.org/0000-0001-5774-1553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Theories of urban scaling have demonstrated remarkable predictive accuracy at aggregate levels. However, they have overlooked the stark inequalities that exist within cities. Human networking and productivity exhibit heavy-tailed distributions, with some individuals contributing disproportionately to city totals. Here we use micro-level data from Europe and the United States on interconnectivity, productivity and innovation in cities. We find that the tails of within-city distributions and their growth by city size account for 36-80% of previously reported scaling effects, and 56-87% of the variance in scaling between indicators of varying economic complexity. Providing explanatory depth to these findings, we identify a mechanism-city size-dependent cumulative advantage-that constitutes an important channel through which differences in the size of tails emerge. Our findings demonstrate that urban scaling is in large part a story about inequality in cities, implying that the causal processes underlying the heavier tails in larger cities must be considered in explanations of urban scaling. This result also shows that agglomeration effects benefit urban elites the most, with the majority of city dwellers partially excluded from the socio-economic benefits of growing cities.

Indexed as

EfficiencyCitiesEuropeHumansUnited States

Identifiers

PMID36702938
PMCPMC10038794

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read46
Read underepoch 390

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.