Evidence map›Paper›PMID 40825944›Full record

ArticleNature communications2025

Exploiting vacant urban residential buildings to promote carbon neutrality in China.

Bing Xia, Jianzhuang Xiao, Gang Liu, Xiangshuo Guan, Yue Lu, Yong C Wang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Bing XiaDepartment of Structural Engineering, College of Civil Engineering, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0002-8597-0254
Jianzhuang XiaoDepartment of Structural Engineering, College of Civil Engineering, Tongji University, Shanghai, China. jzxiao@gxu.edu.cn.ORCID http://orcid.org/0000-0003-1287-1199
Gang LiuCollege of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7613-1985
Xiangshuo GuanDepartment of Structural Engineering, College of Civil Engineering, Tongji University, Shanghai, China.
Yue LuDepartment of Structural Engineering, College of Civil Engineering, Tongji University, Shanghai, China.
Yong C WangSchool of Engineering, University of Manchester, Manchester, UK.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 51325802
6 · The paper itself

Abstract

Urban construction has been a major contributor to carbon emissions. As China's housing demands decelerates, addressing the vacancy of residential buildings has become essential for revitalizing the real estate sector and promoting low-carbon and circular urban development. Here we show that China's housing vacancy rate within the available residential building stock may have exceeded 30% since 2021. We assess three strategies to transform excessive vacancy into an opportunity for carbon neutrality: (i) demand-side mitigation by housing vacancy rate reduction to slow down near-term carbon emissions, (ii) supply-side mitigation through the renovation of old residential buildings, and (iii) restricting demolition for sustained carbon reduction. These three strategies collectively yield superimposed carbon mitigation benefits: moderate implementation could reduce China's urban residential construction emissions by more than 43% over 2023-2060, meeting a 2 °C-compatible carbon budget under the Sustainability Shared Socioeconomic Pathways and offering a transferable framework for low-carbon, resource-efficient urban construction.

Identifiers

PMID40825944
PMCPMC12361582

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.