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Global increases in built-up volume indicate more divergent and less dispersed urban expansion patterns
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  • Published: 21 February 2026

Global increases in built-up volume indicate more divergent and less dispersed urban expansion patterns

  • Yingcheng Li  ORCID: orcid.org/0000-0002-0894-64611,
  • Xiaohan Zhong  ORCID: orcid.org/0009-0005-3749-12151,
  • Ben Derudder2,3,4,
  • Mingxing Hu1 &
  • …
  • Xingjian Liu  ORCID: orcid.org/0000-0003-4158-36555 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Geography
  • Sustainability

Abstract

Viewing urban spatial structure from a three-dimensional (3D) perspective provides important insights for environmental sustainability. While existing studies mainly examine 3D built-up volume, the spatial distribution of vertical growth remains insufficiently understood. This study investigates centrality and intensity of vertical expansion in newly urbanized areas. Using multi-source remote sensing data, we develop a Centrality Index (CI) and an Intensity Index (II) to characterize 3D urban expansion and compare it with conventional two-dimensional (2D) measures. Results show that: (1) 3D expansion is generally more centralized than 2D expansion. (2) Vertical growth is stronger in the Global South; however, Global South cities outside China, especially in Africa, often demonstrate low 3D centrality. (3) 3D expansion patterns are closely associated with natural and socioeconomic conditions and display strong path dependency. As urbanization shifts toward Africa and South Asia, prevalent low-centrality patterns may improve land-use efficiency but increase commuting-related carbon emissions.

Data availability

The built-up data used in this study are available at [https://human-settlement.emergency.copernicus.eu/datasets.php]; Urban boundary data [https://data-starcloud.pcl.ac.cn/zh/resource/14]; Population data [https://landscan.ornl.gov]; GDP data [https://doi.org/10.5061/dryad.dk1j0]; Road density data [https://www.globio.info/download-grip-dataset]; Data for calculating terrain relief [https://globalmaps.github.io/el.html#summary]; Data for calculating annual mean temperature [https://crudata.uea.ac.uk/cru/data/hrg]; Data for calculating governance level [https://dashboards.sdgindex.org/explorer] (Supplementary Table 4). Data for result analysis, centrality calculation, and main modeling are publicly accessible on Zenodo at https://doi.org/10.5281/zenodo.18314967.

Code availability

Codes for the main modeling and analysis process presented in this paper are publicly accessible on Zenodo at https://doi.org/10.5281/zenodo.18314967.

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Acknowledgements

The research was supported by National Key R&D Program of China (Grant No. 2022YFC3800201, Recipient: Y.L.).

Author information

Authors and Affiliations

  1. School of Architecture, Southeast University, Nanjing, China

    Yingcheng Li, Xiaohan Zhong & Mingxing Hu

  2. Public Governance Institute, KU Leuven, Leuven, Belgium

    Ben Derudder

  3. Department of Urban Studies and Sustainable Development, Nicolaus Copernicus University, Torun, Poland

    Ben Derudder

  4. Department of Geography, Ghent University, Ghent, Belgium

    Ben Derudder

  5. Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong Kong, China

    Xingjian Liu

Authors
  1. Yingcheng Li
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Contributions

Y.L. raised the research idea and proposed the analytical framework. X.L. contributed to enhancing the conceptual design. Y.L. and X.Z. designed the methods, performed the analysis, and drafted the paper. M.H. discussed the results. Y.L., B.D., and X.L. revised the paper.

Corresponding authors

Correspondence to Yingcheng Li or Xingjian Liu.

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Nature Communications thanks Cai Wu who co-reviewed with Minwei Zhao and the other anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

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Li, Y., Zhong, X., Derudder, B. et al. Global increases in built-up volume indicate more divergent and less dispersed urban expansion patterns. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69766-6

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  • Received: 17 December 2024

  • Accepted: 09 February 2026

  • Published: 21 February 2026

  • DOI: https://doi.org/10.1038/s41467-026-69766-6

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