Evidence map›Paper›PMID 40663588›Full record

ArticlePloS one2025

Research on quantitative evaluation of China's Intelligent Construction Policy (CICP) based on the integration of PMC index model and multi-dimensional analytical framework.

Xiongquan Ou, Ming Ma, Wei Wang

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

3 authors.

Xiongquan OuSchool of Art Design and Media, Sanda University, Shanghai, P.R.China.ORCID https://orcid.org/0009-0000-0265-6271
Ming MaCollege of Architecture and Urban Planning, Yunnan University, Kunming, Yunnan, P.R.China.ORCID https://orcid.org/0000-0002-2408-8612
Wei WangSchool of Architecture and Planning, Hunan University, Changsha, Hunan, P.R.China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a systematic evaluation of China's Intelligent Construction Policies (CICP) from 2010 to 2022, employing a quantitative approach based on the Policy Modeling Consistency (PMC) index model. Through text mining and bibliometric analysis, we assess the formulation quality, evolution, and effectiveness of 30 national policies, identifying distinct phases of development: the Cultivation and Exploration Phase (CEP: 2010-2019) and the Development and Promotion Phase (DPP: 2020-2022). The results demonstrate a significant improvement in policy quality, with the DPP achieving higher PMC scores and more frequent issuance of "Excellent" and "Positive" policies. Key findings reveal the transition from fragmented, exploratory policies to integrated, goal-oriented strategies, emphasizing industrialization, digitalization, and sustainability. However, gaps remain in policy scope, effectiveness, and incentive mechanisms. The study concludes with targeted recommendations for optimizing CICP, including expanding policy scope, enhancing implementation frameworks, and fostering public-private innovation ecosystems to align with technological advancements and industry demands.

Indexed as

Construction IndustryPublic PolicyBibliometricsChinaData MiningHumansModels, Theoretical

Identifiers

PMID40663588
PMCPMC12262895

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.