Satellite mapping of every building’s function in urban China reveals deep built environment disparities
Decades of rapid urbanization have reshaped China's cities, yet fine-scale built environment disparities remain unclear due to scarce building-level data. Here, we present SinoBF-1, a national building functional map of China that delineates 110 million buildings across 109 major cities using 1-meter multi-modal satellite data. Using nine indicators spanning urbanization intensity, facility accessibility, and infrastructure sufficiency, we quantify disparities across city tiers, geographic regions, and intra-city zones. Analyses reveal that: (1) Across city tiers, accessibility and amenity diversity decline sharply from top- to low-tier cities, while mid tiers show more equitable housing allocation; (2) Geographically, southern cities exhibit the highest access to healthcare, education, and public services but suffer from infrastructure overcrowding; and (3) Within cities, later-expanding zones exhibit greater disparities than early-established urban cores. This study reflects legacies of national development policies over the past half-century and offers a framework for evaluating urban inequality in rapidly urbanizing regions.
Authors
- Mofan Cheng
- Linxin Li (ORCID: https://orcid.org/0009-0006-3660-8060)
- Heng Zhang (ORCID: https://orcid.org/0000-0002-0103-2173)
- Z. Li
- Wei He
- Tong Qiu
- Liangpei Zhang
- Ting Hu
Institutions
- Duke University (US)
- Nanjing University of Information Science and Technology (CN)
- China University of Geosciences (CN)
- Nanjing University of Science and Technology (CN)
- Henan Academy of Sciences (CN)
- Henan Academy of Agricultural Sciences (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1038/s41467-026-69589-5
- Primary Topic
- Urban Transport and Accessibility
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Wuhan University
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing