Evidence map›Paper›PMID 41331272›Full record

ArticleScientific reports2025

Spatiotemporal patterns and drivers of population and transport coordination in the Pearl River Delta.

Di Lyu, Weiwang Zhu, Libin Ouyang, Zhaoya Gong

Abstract read
In one paragraph

Article in Scientific reports, 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

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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.

Di LyuSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China.
Weiwang ZhuCollege of Architecture, Landscape of Peking University, Beijing, 100871, China.
Libin OuyangBeijing Municipal Institute of City Planning and Design, Beijing, 100045, China.
Zhaoya GongSchool of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen, 518055, China. z.gong@pku.edu.cn.

Funding

2023 New Recruitment Talents Financial Subsidy for Scientific Research Initiatives 1270110343the National Natural Science Foundation of China 42201183
6 · The paper itself

Abstract

The demographic-transport nexus is central to regional integration, but remains insufficiently studied in rapidly urbanizing contexts. Taking China's Pearl River Delta (PRD) as a representative megaregion, this study uses panel data from nine PRD cities spanning 1990 to 2020. We construct an entropy-weighted indicator system and apply a coupling-coordination model in combination with a panal data regression to trace the co-evolution of population and transport systems and identify their driving forces. Findings reveal that: (1) the regional coupling-coordination index rose from 0.21 to 0.54 but still shows a clear core-periphery gradient-Guangzhou and Shenzhen already display high coordination, whereas ZhaoQing and Jiangmen lag behind; (2) economic growth, a consumption-oriented economic structure and technological progress significantly enhance coordination; (3) the 2009 PRD Master Plan mainly benefits core cities, with limited policy spill-overs; (4) medical-service provision improves coordination, while basic-education supply is not significant, highlighting service-level disparities. We recommend strengthening peripheral inter-city corridors, building 30- to 60-minute commuting rings, and linking transport investment to real-time coupling metrics and coordinated industry relocation to advance the region toward higher-level integration.

Indexed as

Coupling coordinationPearl River DeltaPopulation dynamicsTransport infrastructure

Identifiers

PMID41331272
PMCPMC12673089

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.