Evidence map›Paper›PMID 41000306›Full record

ArticleFrontiers in public health2025

Urban green spaces and public health: legal challenges and policy opportunities in green city governance.

Yuanyuan Guo, Dan Wu, Xiangbin Zuo

Abstract read
In one paragraph

Article in Frontiers in public health, 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
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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.

Yuanyuan GuoDepartment of Tourism Management, Jinzhong University, Jinzhong, China.
Dan WuFaculty of Finance and Management, Guangzhou Songtian Polytechnic College, Guangzhou, China.
Xiangbin ZuoFaculty of Law, The National University of Malaysia (UKM), Bangi, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasingly prominent impact of urban green space reduction on publichealth, this study selects three typical cities (Beijing, Hangzhou, and Yinchuan) toexplore the relationship between green space coverage and residents' health, aiming to address challenges in green city governance and identify policy opportunities. Using multi-source data including remote sensing images, health statistics, and legal texts, combined with methods such as spatial econometric models and legal text analysis (Policy Strength Index, PSI), the study evaluates green space distribution, quantifies health benefits, and assesses policy effectiveness. The results show that there is a nonlinear threshold relationship between green space coverage and health benefits: when the coverage rate exceeds 38%, the decline rate of chronic diseases is significantly accelerated by 3.3 times, and the improvement rate of mental health reaches 9.7%. Among the three cities, Hangzhou achieves the most notable results with its "Park City" policy, featuring an average annual green space growth rate of 1.8% (far higher than Beijing's 0.6% and Yinchuan's -0.3%) and a leading PSI score of 82 points (significantly higher than Yinchuan's 58 points). Further analysis reveals that policy implementation effectiveness depends on three core factors: legal strength, departmental coordination, and public participation. Based on these empirical findings, this study suggests adopting a trinity governance path of "accurate greening-system reconstruction-fair promotion" to drive the transformation and upgrading of urban green governance models, providing empirical support for building healthy, equitable, and sustainable urban environments.

Indexed as

City PlanningEnvironment DesignParks, RecreationalPublic HealthChinaCitiesHumansgreen governancelegal challengespolicy optimizationpublic healthurban green space

Identifiers

PMID41000306
PMCPMC12457393

What OpenQuestion holds

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LicenceCC BY
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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.