Evidence map›Paper›PMID 34493745›Full record

ArticleScientific reports2021

Studying the distribution patterns, dynamics and influencing factors of city functional components by gradient analysis.

Shun Liu, Guofu Yang, Zhaoping Wu, Feng Mao, Zelong Qu, Ying Ge, Jie Chang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.1field-weighted citation impact, top 23% of its field
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, 17 citations in OpenAlex.

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

7 authors at 2 institutions in 2 countries.

Shun LiuCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Guofu YangCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Zhaoping WuCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Feng MaoSchool of Earth and Environmental Sciences, Cardiff University, Cardiff, CF10 3AT, UK.
Zelong QuCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Ying GeCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Jie ChangCollege of Life Sciences, Zhejiang University, Hangzhou, 310058, China. jchang@zju.edu.cn.
Zhejiang University · CNCardiff University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the spatial distribution characteristics and formation mechanism of urban facilities (city functional components) constitutes the basis of urban layout optimization. Currently, research on the overall distribution of the various types of city functional components is lacking. In this study, by applying the gradient analysis method common in ecology, we considered 13 types of city functional components (80,214 individuals in total) in large, medium and small Chinese cities (9 cities in total) to carry out quantitative analysis of the distribution of components along urban-rural gradients through density distribution curves. The results indicated that: (1) a higher density of city functional components near the city centre revealed an obvious aggregated distribution; (2) the spatial distribution dynamics of city functional components were related to the city size, providing a reference for the rational distribution of components in cities of different sizes; (3) the distribution of city functional components was affected by their ecosystem services. This study offers a new perspective for the application of ecological methods in the examination of the distribution of city functional components.

Identifiers

PMID34493745
PMCPMC8423789
OpenAlexW3196494548

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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.