Evidence map›Paper›PMID 37978335›Full record

ArticleScientific reports2023

Analysis of the relationship between urban dynamics and prevalence of remote work based on population data generated from cellular networks.

Hiroto Akatsuka, Masashi Toyoda

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Hiroto AkatsukaThe University of Tokyo, Tokyo, Japan. akatsu-h@tkl.iis.u-tokyo.ac.jp.
Masashi ToyodaInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has accelerated the introduction of remote work as one way to ensure employee safety and reduce the amount of interpersonal contact while continuing business operations. Knowing the degree of prevalence of remote work and its establishment are considered to be important factors in future policies and urban planning. We applied non-negative matrix factorization to population-change data obtained from a mobile phone network to extract the component of working people, and analyzed the changes pre- and post-pandemic. Using the Wilcoxon signed-rank test, we confirmed that the number of people working in office and residential districts has significantly changed at a significance level of 1% in urban areas centered around Tokyo and Osaka, the two largest cities in Japan. Time-series data show that the number of workers is decreasing in office districts and increasing in residential districts, suggesting increased prevalence of remote work due to the COVID-19 pandemic and that it has become established. In addition, in urban areas centered around Tokyo, we confirmed that there is a moderate correlation between the changes in the number of people working in office districts and the capital size of corporations in the same area.

Indexed as

COVID-19PandemicsCitiesHumansJapanPrevalence

Identifiers

PMID37978335
PMCPMC10656566

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.