Evidence map›Paper›PMID 35564580›Full record

ArticleInternational journal of environmental research and public health2022

Evaluation Method for Quality Risks of Safety in Prefabricated Building Construction Using SEM-SDM Approach.

Xiaojuan Li, Chen Wang, Mukhtar A Kassem, Hamed H Alhajlah, Samuel Bimenyimana

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Xiaojuan LiCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China.
Chen WangCollege of Civil Engineering, Huaqiao University, Xiamen 361021, China.
Mukhtar A KassemDepartment of Quantity Surveying, Faculty of Built Environment & Surveying, University of Technology Malaysia, Johor Bahru 81310, Malaysia.ORCID 0000-0003-2466-8438
Hamed H AlhajlahCivil Engineering Department, Faculty of Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, West Midlands, UK.
Samuel BimenyimanaCollege of Civil Engineering, Huaqiao University, Xiamen 361021, China.ORCID 0000-0001-8535-6038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The construction of prefabricated buildings is an effective and efficient approach to improving construction processes and productivity. However, there are practical problems in this approach, such as listing, safety risk levels, and quality control. This study aims to develop a systematic approach for determining the key factors affecting prefabricated building projects' quality and safety risk and assessing this risk. Based on the literature review, a structured questionnaire was distributed to 408 China-based construction organizations. Considering the factors of safety risk evaluation systems for construction, the safety risk model of prefabricated buildings is established and combined with structural equation modeling (SEM) and a system dynamic model (SDM). A detailed case study was conducted to verify the empirical findings. The results show that pre-construction, during-construction, and after-construction significantly influence the quality risk (from high to low). The final comprehensive score is 92.71, indicating that the construction safety of the residential building is generally controllable and the quality is guaranteed. Furthermore, the investment risk of such projects can be assessed using SEM and SDM. This study contributes to the literature by considering quality-risk-influencing factors in this field. Furthermore, the findings provide an understanding of implementation and quality risk control for prefabricated building projects and provide valuable information to departments in charge of improving the safety risk performance of such projects.

Indexed as

Construction IndustryAminoacridinesChinaLatent Class AnalysisSurveys and QuestionnairesAminoacridinesSDMprefabricated buildingsquality and safetyrisk evaluationstructural equation modellingsystem dynamic model

Identifiers

PMID35564580
PMCPMC9099468

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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.