Evidence map›Paper›PMID 41379862›Full record

ArticlePloS one2025

Circular economy transition barriers in the construction and demolition sector.

Majed Alzara, Ahmed Abd Elnasser, Mohammed Abdelshakor, Ahmed Ehab

Abstract read
In one paragraph

Article in PloS one, 2025. 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

4 authors.

Majed AlzaraDepartment of Civil Engineering, College of Engineering, Jouf University, Sakaka, Saudi Arabia.ORCID https://orcid.org/0000-0003-3568-1152
Ahmed Abd ElnasserDepartment of Civil Engineering, Arab Academy for Science, Technology and Maritime Transport, Aswan, Aswan Governorate, Egypt.
Mohammed AbdelshakorDepartment of Civil Engineering, Arab Academy for Science, Technology and Maritime Transport, Aswan, Aswan Governorate, Egypt.
Ahmed EhabDepartment of Civil Engineering, College of Engineering, Badr University in Cairo, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the readiness of Egypt's construction sector to integrate Circular Economy (CE) principles by identifying and analyzing the main barriers to effective Construction and Demolition Waste (CDW) management. A comprehensive survey-based methodology (n = 384) was employed to gather data from industry stakeholders, demonstrating excellent sampling adequacy (KMO = 0.961). Initially, 41 potential barriers were identified via literature review and expert consultation. Exploratory Factor Analysis (EFA) subsequently refined these to 10 critical barriers, whose interrelationships were validated using Structural Equation Modeling (SEM), exhibiting a strong model fit (RMSEA = 0.065; CFI = 0.974). The analysis revealed persistent economic, technological, and social barriers impeding CE adoption. Notable challenges include high implementation costs, inadequate technical expertise, low stakeholder awareness, and weak policy enforcement. Based on these findings, prioritized, time-phased recommendations are proposed to provide an evidence-based framework for policy and practice. This research contributes an early empirical assessment of CE adoption in Egypt's construction sector, offering a robust roadmap for a more sustainable, resource-efficient industry aligned with national environmental and economic objectives.

Indexed as

Construction IndustryWaste ManagementEgyptFactor Analysis, StatisticalHumansSurveys and Questionnaires

Identifiers

PMID41379862
PMCPMC12698026

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.