Evidence map›Paper›PMID 42077975›Full record

ArticleFrontiers in public health2026

Urban building carbon emissions based on BIM-LCA-GIS.

Zhen-Shuo Zhang, Yang Ding, Kai-Jie Cao, Zhen-Zhen Guo, Shuang-Xi Zhou, Zhi-Peng Lu, Jiang-Liang Dong

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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

7 authors.

Zhen-Shuo ZhangNorth Alabama International College of Engineering and Technology, Guizhou University, Guiyang, China.
Yang DingDepartment of Civil Engineering, Hangzhou City University, Hangzhou, China.
Kai-Jie CaoDepartment of Civil Engineering, Hangzhou City University, Hangzhou, China.
Zhen-Zhen GuoDepartment of Civil Engineering, Jiangxi University of Applied Science, Nanchang, China.
Shuang-Xi ZhouSchool of Civil and Engineering Management, Guangzhou Maritime University, Guangzhou, China.
Zhi-Peng LuSchool of Public Administration, Zhejiang Gongshang University, Hangzhou, China.
Jiang-Liang DongSchool of Civil Engineering and Architecture, East China Jiaotong University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuous advancement of China's urbanization process and building technologies, traditional cast-in-situ construction methods have become increasingly incompatible with the concepts of green and healthy development due to significant energy consumption and carbon emissions generated throughout their entire lifecycle, including material production, construction processes, and related upstream and downstream industrial activities, while the advantages of the prefabricated building model have become increasingly prominent in this context; to address the need for in-depth carbon emission analysis of prefabricated buildings, this paper develops an integrated carbon emission analysis model integrating Building Information Modeling (BIM), Life Cycle Assessment (LCA), and Geographic Information Systems (GIS), applies this model to conduct in-depth analysis of carbon emissions at each stage of the prefabricated building's lifecycle to acquire accurate and specific carbon emission data, and adopts three analytical methods, input-output analysis, and ecological footprint analysis-to perform spatial analysis on the collected data, specifically combining BIM models with the LCA framework to quantify and assess the impacts of different building materials and structural components on energy efficiency and the surrounding environment and using the three computational methods for spatial carbon emission analysis; this integrated model effectively achieves accurate quantification and in-depth analysis of carbon emissions at each lifecycle stage of prefabricated buildings, obtaining specific and reliable carbon emission data and clarifying the spatial distribution characteristics and influencing factors of carbon emissions through spatial analysis; the research findings thus provide valuable insights and practical references for future initiatives to promote low carbon and energy efficient building practices and advance the development of low-carbon buildings, while the established integrated analysis model overcomes the limitations of single-method analysis and improves the accuracy and comprehensiveness of carbon emission analysis for prefabricated.

Indexed as

CarbonCarbon FootprintConstruction MaterialsEnvironmental MonitoringGeographic Information SystemsChinaHumansModels, TheoreticalUrbanizationCarbonBIMcarbon emissionsGISLCAprefabricated buildingsurban governance

Identifiers

PMID42077975
PMCPMC13128567

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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.