Evidence map›Paper›PMID 36568566›Full record

ArticleUrban forestry & urban greening2021

Reexamine the value of urban pocket parks under the impact of the COVID-19.

Shu Liu, Xinhao Wang

Open access · greenAbstract read
In one paragraph

Article in Urban forestry & urban greening, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.5field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 97 citations in OpenAlex.

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  11. COVID-19 and the importance of urban green spaces.Urban forestry & urban greening · 2022
    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

2 authors at 1 institution in 1 country.

Shu LiuDAAP School of Planning, University of Cincinnati, Cincinnati, OH, United States.
Xinhao WangDAAP School of Planning, University of Cincinnati, Cincinnati, OH, United States.
University of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the focus of the wide-spread coronavirus is its impacts on people's lives and economic wellbeing around the world, the pandemic substantially limits people's available options of physical activities and exacerbates an enduring problem of large urban populations lack accessible green space to fulfill the essential physical and mental health needs. Under the current pandemic situation available green space is further reduced when some parks are closed or open with limited functions to reduce the spread of coronavirus. At the same time, the demand for green space has increased because of the unavailability of other activities. In this essay, we call the attention of urban planners and designers to pocket parks. Studies have shown that the tiny size of pocket parks makes them an easier fit into vacant properties scattered throughout the urban fabric. Therefore, pocket parks can improve health and encourage social cohesion of residents in often underserved high density urban neighborhoods. The potential of pocket parks in providing accessible urban green space to all urban population may have been considered desirable before the coronavirus outbreak and now it should be considered a necessary 'lifeline' to improve urban residents' health during the coronavirus. In addition, with the long-overlooked value of accessible urban green space waken by the global-scale crisis, proper attention and improvement strategy, such as introducing more pocket park could lead to a better future after the COVID-19.

Indexed as

COVID-19Park accessibilityPocket parkUnderprivileged neighborhoodsUrban green space

Identifiers

PMID36568566
PMCPMC9761299
OpenAlexW3195856879

What OpenQuestion holds

Textmetadata
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.