Evidence map›Paper›PMID 40354497›Full record

ArticlePloS one2025

A research on spatial configuration characteristics and social performance evaluation of public sports facilities in shanghai based on geographic information system (GIS).

Haonan Li, Lun Li, Yuan Li, Qing Ji, Jianbo Zhao, Zixi Ge, Qi Zhou, Quan Sun

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Haonan LiSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, China.ORCID 0009-0008-3030-4650
Lun LiSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, China.
Yuan LiSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, China.ORCID 0000-0001-7944-2407
Qing JiSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, China.
Jianbo ZhaoSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, China.
Zixi GeSchool of Physical Education, China University of Geosciences (Wuhan), Wuhan, China.
Qi ZhouSchool of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China.ORCID 0000-0001-7177-1820
Quan SunSchool of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial configuration and social performance of public sports facilities serve as crucial indicators for evaluating the equity of public sports services and the coherence of urban spatial structure. As Shanghai accelerates its development into a globally renowned sports city, the construction of public sports facilities has encountered significant opportunities. However, challenges persist in the spatial distribution, accessibility, and quality of these facilities. This study investigates the spatial agglomeration characteristics, accessibility, and social performance of urban public sports facilities in Shanghai at both the street and grid scales. Using geographic information system (GIS) tools and analytical methods such as kernel density estimation, standard deviation ellipse, spatial autocorrelation, Gaussian two-step moving search, and the Gini coefficient, the analysis yields the following findings: 1) Public sports facilities in Shanghai are concentrated in the central urban areas and exhibit scattered spatial distribution patterns in peripheral regions. These facilities display a significant directional coupling with population distribution (northeast-southwest), reflecting pronounced spatial imbalances. 2) Social performance analysis reveals clear regional inequities in Shanghai's public sports facilities. While overall accessibility is relatively high, disparities remain, with suburbs facing facility shortages. Regional equity measurements indicate that the Gini coefficient for public sports facilities in Shanghai is 0.58. Central urban areas possess a high density of facilities, while suburban areas suffer from inadequate facility coverage, leading to uneven service radii and a pattern of high agglomeration but low coverage. 3) The social equity analysis shows that the service capacity entropy of public sports facilities exhibits a distinct spatial distribution, characterized by high values in the east and west and low values in the center. The highest entropy value is 4.25, while the lowest is 0.02. This study provides valuable insights for the planning and optimization of urban public sports facilities in Shanghai, contributing to the enhancement of spatial equity and service effectiveness.

Indexed as

Geographic Information SystemsPublic FacilitiesSportsSports and Recreational FacilitiesChinaCitiesHumansSpatial Analysis

Identifiers

PMID40354497
PMCPMC12068736

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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.