Evidence map›Paper›PMID 36405767›Full record

ArticleTravel behaviour & society2023

Post COVID-19 pandemic recovery of intracity human mobility in Wuhan: Spatiotemporal characteristic and driving mechanism.

Rui An, Zhaomin Tong, Xiaoyan Liu, Bo Tan, Qiangqiang Xiong, Huixin Pang, Yaolin Liu, Gang Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Travel behaviour & society, 2023. 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
–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

0 citing papers in PubMed.

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

8 authors.

Rui AnSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, PR China.
Zhaomin TongSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, PR China.
Xiaoyan LiuInstitute of Disaster Risk Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, PR China.
Bo TanWuhan Geomatics Institute, 209 Wansongyuan Road, Wuhan 430022, PR China.
Qiangqiang XiongSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, PR China.
Huixin PangSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, PR China.
Yaolin LiuSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, PR China.
Gang XuSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After successfully inhibiting the first wave of COVID-19 transmission through a city lockdown, Wuhan implemented a series of policies to gradually lift restrictions and restore daily activities. Existing studies mainly focus on the intercity recovery under a macroscopic view. How does the intracity mobility return to normal? Is the recovery process consistent among different subareas, and what factor affects the post-pandemic recovery? To answer these questions, we sorted out policies adopted during the Wuhan resumption, and collected the long-time mobility big data in 1105 traffic analysis zones (TAZs) to construct an observation matrix (

Indexed as

COVID-19Intracity mobilityNonnegative matrix factorizationSpatial lag regressionSpatiotemporal analysis

Identifiers

PMID36405767
PMCPMC9650583

What OpenQuestion holds

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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.