Evidence map›Paper›PMID 36874355›Full record

ArticleSustainable cities and society2023

From lockdown to precise prevention: Adjusting epidemic-related spatial regulations from the perspectives of the 15-minute city and spatiotemporal planning.

Yanxi Li, Yanwei Chai, Zifeng Chen, Chunjiang Li

Abstract read
In one paragraph

Article in Sustainable cities and society, 2023. 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

4 authors.

Yanxi LiCollege of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road, Beijing, China.
Yanwei ChaiCollege of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road, Beijing, China.
Zifeng ChenSchool of Geography and Planning, Sun Yat-sen University (East Campus), Room C402B, Panyu District, Guangzhou, China.
Chunjiang LiCollege of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic challenged emergency management in cities worldwide. Many municipalities adopted restrictive, one-size-fits-all spatial regulations such as lockdowns without fully considering the inhabitants' daily activities and local economies. The existing epidemic regulations' unintended detrimental effects on socioeconomic sustainability necessitate a transition from the "lockdown" approach to more precise disease prevention. A spatially and temporally precise approach that balances epidemic prevention with the demands of daily activities and local economies is needed. Thus, the aim of this study was to propose a framework and key procedures for determining precise prevention regulations from the perspectives of the 15-minute city concept and spatiotemporal planning. Alternative regulations of lockdowns were determined by delineating 15-minute neighborhoods, identifying and reconfiguring facility supplies and activity demands in both normal and epidemic conditions, and performing cost-benefit analyses. Highly adaptable, spatially- and temporally-precise regulations can match the needs of different types of facilities. We demonstrated the process for determining precise prevention regulations in the case of the Jiulong 15-minute neighborhood in Beijing. Precise prevention regulations-which meet essential activity demands and are adaptable for different facility types, times, and neighborhoods-have implications for long-term urban planning and emergency management.

Indexed as

15-minute cityBeijingCOVID-19 pandemicemergency managementprecise preventionspatiotemporal planning

Identifiers

PMID36874355
PMCPMC9957973

What OpenQuestion holds

Textmetadata
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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.