Evidence map›Paper›PMID 38383531›Full record

ArticleScientific reports2024

Analysis of residential satisfaction in the conversion of Beijing's stock buildings into rental housing.

Xuefen Hu, Jian Suo, Ningbo Kou, Mengxue Wu, Shiyu Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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

5 authors.

Xuefen HuThe School of Architecture and Fine Art, Dalian University of Technology, Dalian, 116024, Liaoning, People's Republic of China.ORCID http://orcid.org/0009-0009-2488-6217
Jian SuoThe School of Architecture and Fine Art, Dalian University of Technology, Dalian, 116024, Liaoning, People's Republic of China. suojian727@dlut.edu.cn.
Ningbo KouThe School of Architecture and Fine Art, Dalian University of Technology, Dalian, 116024, Liaoning, People's Republic of China.
Mengxue WuThe School of Architecture and Fine Art, Dalian University of Technology, Dalian, 116024, Liaoning, People's Republic of China.
Shiyu WangThe School of Architecture and Fine Art, Dalian University of Technology, Dalian, 116024, Liaoning, People's Republic of China.

Funding

The National Natural Science Foundation of China 51978118
6 · The paper itself

Abstract

This paper investigates the residential satisfaction levels of tenants living in rental housing converted from non-residential stock buildings in Beijing. A stratified random sampling method was used to select 353 tenants from five apartments based on the plan form and location of the units for a structured questionnaire survey. The results of a hierarchical regression analysis indicated that subjective attributes were more influential in determining residential satisfaction than the objective physical and demographic attributes of the apartments. Within the five dimensions of subjective attributes, the "interior space" dimension had the greatest impact on predicting residential satisfaction. In addition, a one-way ANOVA analysis showed that the floor plan of the apartments also played a significant role in determining residential satisfaction, S-type and office park-type (Converted from an office park) layouts received the highest satisfaction ratings. This research provides valuable insights for revitalizing non-residential stock buildings and offers theoretical support for converting more non-residential stock buildings into rental housing in the future.

Indexed as

Conversion rental housingFunctional conversionInfluencing factorsResidential satisfactionYoung people

Identifiers

PMID38383531
PMCPMC10882014

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.