Evidence map›Paper›PMID 40678529›Full record

ArticleiScience2025

Indicators and methodologies for assessing urban agglomeration sustainability.

Yinghui Shao, Wei Han, Min Jin, Lizhe Wang

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yinghui ShaoSchool of Computer Science, China University of Geosciences, Wuhan, China.
Wei HanSchool of Computer Science, China University of Geosciences, Wuhan, China.
Min JinDepartment of Electronic Information Engineering, Wuhan Business University, Wuhan, China.
Lizhe WangSchool of Computer Science, China University of Geosciences, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban agglomerations are crucial for achieving the United Nations Sustainable Development Goals (SDGs). However, uncertainties remain in the indicators and methodologies used to measure their sustainability. This paper establishes and analyzes the SDGs network at national and urban agglomeration levels, highlighting that urban agglomerations are key scale to achieving sustainable development but are far more complex than a single city scale. Then, this paper proposes an assessment framework for urban agglomeration, which includes indicators, methodological approaches, and validation processes. By introducing the multi-level coupling coordination degree, various influencing mechanisms are integrated into the evaluation stage. In addition, this paper constructs redundancy and sensitivity analyses and establishes a correlation network between indicators and SDGs to collectively validate the robustness and international compatibility of the indicator system. This study provides strong support for understanding and promoting the sustainable development of urban agglomerations, contributing to the achievement of the 2030 Agenda.

Indexed as

Earth sciencesEnvironmental science

Identifiers

PMID40678529
PMCPMC12269625

What OpenQuestion holds

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LicenceCC BY
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.