Evidence map›Paper›PMID 36834442›Full record

ArticleInternational journal of environmental research and public health2023

Demands for Community Services and Associated Factors among Residents in Smart Communities: A Case Study of Xuzhou City.

Jiongxun Chen, Linxiu Wang, Tiantian Gu, Chenyang Wang, Enyang Hao

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 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
0.6field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Jiongxun ChenSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-0136-5365
Linxiu WangSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-0096-9343
Tiantian GuSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0001-9639-2165
Chenyang WangSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0001-5685-8047
Enyang HaoSchool of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-5067-3081
China University of Mining and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart community enables a sustainable and livable community future, in which residents' demands play an important role in its success. Though great efforts have been made to encourage residents' participation in the implementation of smart communities, inefficient service supply still exists. Thus, this study aimed to classify residents' demands for community services in smart communities and to explore relevant influencing factors based on the developed conceptual framework. Data from 221 respondents in Xuzhou city of China were analyzed by using binary logistic regression. The results indicated that more than 70% of respondents had demands for all community services in smart communities. Moreover, the demands were influenced by distinct factors, including sociodemographic characteristics, living characteristics, economic characteristics, and individual attitude characteristics. The types of community services in smart communities are clarified and fresh insights are provided into associated factors related to residents' demands for these services in this study, through which enhanced provision of community services and effective implementation of smart communities can be achieved.

Indexed as

Contract ServicesSocial WelfareChinaLogistic ModelsSurveys and Questionnairesbinary logistic regressioninfluencing factorsresidents’ demandssmart community

Identifiers

PMID36834442
PMCPMC9964050
OpenAlexW4321457735

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.