Block-level Housing Vacancy in Urban China / 中国城市街区尺度住房空置率

Block-level Housing Vacancy in Urban China / 中国城市街区尺度住房空置率

This research-data record accompanies Zhao et al. (2027) and documents model-estimated housing vacancy across 2,813 spatial cities in mainland China. The study snapshot is 2020–2021; the spatial-city boundaries are a 2022 product. It is a block-level estimate, not a household census or a real-time occupancy feed.

本条目对应论文的中国大陆2,813个空间城市街区住房空置估计。研究快照为2020—2021年，空间城市边界采用2022版。空间单元为居住自然街区，不能直接等同于每个命名居住小区。

Method / 方法

Housing stock is estimated from residential building footprints, floor counts and dwelling area. Resident household counts combine PopSE population grids and household-size statistics. Vacancy is derived from the difference between supply and estimated occupancy at the residential-block scale. Multiple independent observations are used for evaluation.

以住宅建筑轮廓、层数与户均住房面积估计住房存量，以PopSE人口格网和户均人口信息估计住户数量，计算居住街区供需差异。结果属于模型估计，使用时应保留空间单元、时点、指标分母及不确定性。

Access / 获取方式

Available on request / 按请求获取。 The paper states that data will be made available on request. No public result archive or approved redistribution licence is supplied with the current materials. Request the data from the corresponding author and confirm the available fields, CRS, version and usage conditions.

请联系论文通讯作者获取数据，并确认字段、坐标系、版本及使用条件。当前网页提供方法与申请入口。

Request data / 申请数据：ylong@tsinghua.edu.cn

Citation / 标准引用

Zhao, H., Zhang, Y., Liu, F., Wang, K., & Long, Y. (2027). Uncovering the hidden resource cost of urbanization: A globally scalable open-source framework for urban housing vacancy monitoring. Resources, Conservation & Recycling, 237, 109185. https://doi.org/10.1016/j.resconrec.2026.109185

Read the research paper / 查看论文PDF

Related sources / 关联来源

CMAB is an upstream building-data source. The Beijing Data residential-vacancy layer is maintained as its existing product; no equivalence to this paper's national block-level results is established.