Evidence map›Paper›PMID 39949656›Full record

ArticlePNAS nexus2025

Global consistency of urban scaling evidenced by remote sensing.

Zhibang Xu, Gang Xu, Ting Lan, Xi Li, Zuoqi Chen, Hao Cui, Zhengzi Zhou, Haowei Wang, Limin Jiao, Christopher Small

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Zhibang XuState Key Laboratory for Ecological Security of Regions and Cities, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.ORCID https://orcid.org/0000-0002-2710-7807
Gang XuSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.ORCID https://orcid.org/0000-0001-5731-5036
Ting LanState Key Laboratory for Ecological Security of Regions and Cities, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
Xi LiState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China.
Zuoqi ChenKey Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 350002, China.ORCID https://orcid.org/0000-0002-3654-9658
Hao CuiState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China.
Zhengzi ZhouThe Bartlett Centre for Advanced Spatial Analysis, University College London, London W1T 4TJ, United Kingdom.
Haowei WangState Key Laboratory for Ecological Security of Regions and Cities, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
Limin JiaoSchool of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China.ORCID https://orcid.org/0000-0003-2643-3624
Christopher SmallLamont Doherty Earth Observatory, Columbia University, Palisades, NY 10964, USA.ORCID https://orcid.org/0000-0002-9336-7391

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The urban scaling theory (UST) strives for a universal taxonomy that depicts relationships among urban indicators (e.g. energy consumption, economic output) with city size. However, the lack of international agreement on city definitions and statistics complicates cross-country comparisons of urban scaling performance. Remote sensing provides a uniform standard for measuring cities around the world. To scrutinize the consistency of UST, we quantified changes in remotely sensed urban built-up areas (UBA) and nighttime lights (NTL) distributions from 11,581 cities in 61 countries spanning 2000-2020, representing urban physical elements and socioeconomic activities, respectively. We find that UBA is well described by UST in all analyzed countries, while NTL aligns with 98% of them. UST quantified by remote sensing shows greater robustness than country-dependent aggregate statistics. We also observed disparities of scaling exponents (

Indexed as

complex systemsremote sensingscaling lawsurban scalingurban science

Identifiers

PMID39949656
PMCPMC11823829

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.